125 Results for Big Data Analytics Jobs

Add your latest resume to match with open positions.

Business Analyst

Dallas, TX
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an experienced Business Analyst to support a growing manufacturing organization in Dallas, Texas by strengthening the technology environment that underpins operations, finance, and leadership reporting. This position serves as a senior individual contributor who helps shape scalable systems, improve data reliability, and connect business needs with practical technology solutions across domestic and international teams. The role is well suited for someone who can combine analytical depth, enterprise systems knowledge, and strong cross-functional collaboration in a fast-moving environment. Responsibilities: • Direct the day-to-day coordination of external IT service providers to maintain dependable support across critical business systems. • Define and reinforce standards for application setup, user permissions, system documentation, and data stewardship to promote consistency and control. • Improve platform performance and uptime across essential operational and financial tools while supporting secure access and reliable usage. • Lead initiatives that connect legacy or disconnected applications into more unified enterprise solutions that better support business growth. • Oversee integrations, master data structures, and data quality practices to strengthen reporting accuracy and operational visibility. • Create repeatable dashboards, templates, and analytical models that help leaders monitor performance and make timely decisions. • Partner with internal teams and third-party vendors on enterprise application enhancements, issue resolution, governance activities, and ongoing updates. • Support IT risk management by implementing practical controls for security, access administration, audit readiness, and system integrity. • Translate technical matters into clear business terms and deliver recurring operational insights to executives and functional stakeholders. • Build productive relationships across regions and functions to guide adoption of systems and reporting practices without direct authority.
2026-09-30T00:00:00Z

Business Analyst

San Fernando, CA
onsite
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for a Business Analyst to join a Contract assignment based in San Fernando, California. In this approximately three-month engagement, you will partner closely with company leadership to evaluate available business data, strengthen reporting capabilities, and turn raw information into practical performance insights. This role is ideal for someone who combines financial and operational perspective with strong hands-on experience in analysis, dashboard development, and management reporting. Responsibilities: • Review data available across the company’s business systems and current reporting tools to identify gaps, inconsistencies, and opportunities for better decision support. • Design and build dependable reports and dashboards that give leadership clear visibility into sales results, margin performance, backlog status, inventory position, and operational outcomes. • Define meaningful key performance indicators that align with business goals and document calculation logic so reporting remains consistent and transparent. • Validate data accuracy by reconciling outputs, investigating reporting discrepancies, and establishing repeatable methods for ongoing measurement. • Translate financial and operational findings into actionable recommendations that support decision-making for owners and management. • Work with existing Power BI assets and related data sources to improve usability, clarity, and relevance of reporting deliverables. • Prepare reporting documentation, metric definitions, and process guidance to support long-term adoption by internal stakeholders. • Provide knowledge transfer and training to team members so they can maintain and use reports effectively after the engagement ends.
2026-10-08T00:00:00Z

Business Analyst

El Segundo, CA
onsite
Temporary to Hire
55.4135 - 62 USD / Hourly
**** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume.**** We are looking for a Business Analyst to join a team in El Segundo, California in a contract-to-permanent capacity. This position is ideal for someone who can translate business needs into technical solutions, especially in environments involving APIs, integrations, and cross-functional collaboration. The role will focus on analyzing system interactions, documenting requirements, and supporting the delivery of integration-focused initiatives with clear communication across business and technical teams. Responsibilities:• Analyze business processes and system needs to identify functional gaps and recommend practical solution options.• Partner with technical teams and stakeholders to define requirements for API-based connections and third-party application integrations.• Produce detailed documentation such as business requirements, technical specifications, workflow descriptions, and source-to-target mapping artifacts.• Evaluate data movement across systems to support accurate integration design, validation, and issue resolution.• Participate in Agile ceremonies and work closely with delivery teams to refine priorities, clarify user stories, and support implementation efforts.• Facilitate communication between business users and technical teams to ensure requirements are clearly understood and appropriately executed.• Review existing processes and integration points to identify opportunities for improved efficiency, service quality, and system alignment.• Support testing and validation activities by confirming that delivered solutions meet documented business and functional expectations.
2026-10-07T00:00:00Z

Senior Data Engineer

Houston, TX
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for an experienced Senior Data Engineer to help design and enhance scalable data platforms that support critical business operations in Houston, Texas. This role is ideal for someone who enjoys building reliable pipelines, improving data accessibility, and working with modern big data technologies in a service-focused environment. The successful candidate will play a key role in shaping data architecture, enabling analytics, and maintaining high standards for performance, quality, and governance. Responsibilities: • Design, build, and optimize large-scale data pipelines that collect, transform, and deliver data from multiple sources. • Develop robust ETL workflows using Python and Spark to support reporting, analytics, and operational data needs. • Implement and maintain data solutions across distributed processing environments, including Hadoop and Azure Databricks. • Create streaming and batch data integrations using Kafka and related technologies to ensure timely and dependable data movement. • Collaborate with analysts, engineers, and business stakeholders to translate requirements into scalable technical solutions. • Monitor pipeline performance, troubleshoot data issues, and apply improvements that increase reliability and efficiency. • Establish data quality controls, validation processes, and documentation to support governance and long-term maintainability. • Contribute to platform enhancements and technical initiatives, including changes to data infrastructure or internal processing frameworks when needed.
2026-10-01T00:00:00Z

Senior Data Analytics Internal Auditor

Chicago, IL
remote
Permanent / Full Time
100000 - 121000 USD / Yearly
The salary range for this position is $100,000-$121,000 plus bonus, and it comes with benefits, including medical, vision, dental, life, and disability insurance. To apply to this remote role please send your resume to [email protected]. Fast-Track Career Advancement Opportunity (This position is expected to advance quickly within the company over the next few months.) ESSENTIAL FUNCTIONS & RESPONSIBILITIES: · Lead the Internal Audit data analytics function, serving as the primary point of expertise for data analytics, automation, AI-enabled solutions, and continuous auditing within the department.· Apply a data-driven mindset to build, enhance, and execute Internal Audit data solutions that deliver advanced audit capabilities, including automation, continuous auditing, and data analytics.· Lead and oversee data analytics initiatives supporting audit, SOX, and risk projects, leveraging advanced analytical techniques to enhance audit procedures, expand coverage, and identify risks.· Design and execute data-driven testing of key controls across in-scope processes, systems, and programs, elevating levels of assurance, consistency, and audit efficiency.· Develop and implement AI-enabled and advanced analytics solutions using available tools to support audit teams and audit operations.· Drive automation across audit, SOX, and risk activities, unlocking efficiencies and improving the quality and scalability of testing and analysis.· Develop and enhance continuous auditing capabilities, including dashboards and monitoring solutions that provide timely control and business insights to support management action.· Serve as a data champion within Internal Audit by elevating awareness of appropriate, effective, and responsible uses of data in assurance and advisory work.· Collaborate closely with audit teams to integrate analytics into audit planning, execution, and reporting activities.· Build and maintain strong relationships with key data leaders, system owners, and data custodians to enable timely and reliable access to data required for audit and risk initiatives.· Leverage enterprise systems such as Workday, JD Edwards (JDE), Salesforce, and other core platforms as key data sources to support audit analytics, continuous auditing, and data-driven control testing.· Use existing data sources and structures to provide more quantitative, evidence-based assessments of key risks, controls, and audit conclusions.
2026-09-23T00:00:00Z

Data Governance Lead

Glendale, AZ
onsite
Temporary / Contract
80 - 90 USD / Hourly
Robert Half is working with a client who is looking to hire a Data Governance Lead to establish and mature an enterprise-wide data governance program. This individual will help define how critical organizational data is classified, owned, documented, protected, and managed. The position will work across technology, security, compliance, analytics, and business teams. Responsibilities<ul><li>Develop and implement an enterprise data governance framework.</li><li>Establish data ownership, stewardship, and accountability models.</li><li>Define data quality standards and monitoring processes.</li><li>Develop policies around data classification, retention, access, and usage.</li><li>Build and maintain enterprise business glossaries and data catalogs.</li><li>Partner with business leaders to identify critical data elements.</li><li>Work with Security, Risk, Legal, and Compliance teams on data controls.</li><li>Establish governance processes for analytics and AI initiatives.</li><li>Lead data governance councils and stakeholder meetings.</li><li>Define governance KPIs and report program maturity to leadership.</li></ul>
2026-10-06T00:00:00Z

Healthcare Business Analyst - API Integrations

Florham Park, NJ
onsite
Permanent / Full Time
115000 - 130000 USD / Yearly
The Healthcare Business Analyst – Pharmacy API Integrations is responsible for managing and improving API integrations between the organization and external pharmacy partners. This role serves as a key point of contact for API-related initiatives, ensuring integrations are well-documented, reliable, secure, and designed to support efficient pharmacy operations and a positive customer experience. The individual will collaborate with external partners and internal teams across software engineering, quality assurance, project management, and operations to define requirements, resolve integration challenges, and deliver effective technical solutions. A major focus will be monitoring operational KPIs and identifying opportunities to improve performance, including faster prescription fulfillment, fewer escalations, and reduced manual intervention. The ideal candidate combines strong technical and analytical skills with excellent communication, customer service, and project ownership capabilities. Key Responsibilities<ul><li>Oversee pharmacy API integrations and continuously improve the experience for internal users, external pharmacy partners, and software implementation teams.</li><li>Consult with external customers and technology partners to provide guidance on API integration requirements, implementation, and best practices.</li><li>Maintain accurate, comprehensive, and up-to-date API documentation for external partners and internal stakeholders.</li><li>Collaborate with business analysts, project managers, software engineers, QA, and operations teams to define integration designs, data requirements, and workflows.</li><li>Translate business needs into clear technical requirements and develop integration solutions that support customer and operational objectives.</li><li>Investigate and troubleshoot integration issues, identify system gaps, and recommend solutions to improve reliability and performance.</li><li>Evaluate proposed solutions for technical and operational feasibility, ensuring they meet business requirements.</li><li>Monitor integration performance and operational KPIs, identifying opportunities to improve prescription fulfillment speed, reduce escalations, and minimize manual processes.</li><li>Apply a strong understanding of software development principles and API technologies to connect systems across organizations.</li><li>Stay current with emerging API technologies, industry standards, and integration best practices.</li><li>Maintain technical knowledge through ongoing professional development, industry research, and participation in relevant professional networks.</li><li>Follow established security, privacy, and administrative safeguards when performing job responsibilities.</li><li>Ensure compliance with HIPAA requirements and applicable healthcare data protection standards.</li></ul>Performance ExpectationsSuccess in this role will be measured by the quality and accuracy of API documentation, effectiveness and reliability of integration solutions, and timely communication with external partners, vendors, business users, and internal IT teams. Additional performance measures include code resiliency, defect rates, integration stability, and improvements in operational efficiency.
2026-10-13T00:00:00Z

Data Integration Specialist

Spartanburg, SC
remote
Temporary / Contract
55 - 64 USD / Hourly
We are looking for a Data Integration Specialist to support enterprise data connectivity, reporting, and analytics for a complex Epicor Kinetic environment in Spartanburg, South Carolina. This Long-term Contract position focuses on building dependable data flows, strengthening reporting foundations, and enabling trusted business insights across connected systems. The role partners with cross-functional teams to improve data architecture, maintain secure integrations, and support scalable platforms used for operational and executive decision-making. Responsibilities: • Create, deploy, and support data integrations linking Epicor Kinetic with internal platforms, external applications, and third-party business tools. • Develop and maintain APIs, ETL routines, automated workflows, and data pipelines that ensure consistent and efficient information exchange. • Assist with data migration and synchronization efforts related to system deployments, version upgrades, and acquired business entities. • Track integration performance, troubleshoot failures, and resolve data flow bottlenecks or accuracy issues affecting business operations. • Design and refine data models that provide a reliable foundation for enterprise reporting, analytics, and downstream consumption. • Build and optimize extraction processes from Epicor Kinetic to improve data availability for warehouse, lake, and Fabric-based environments. • Support enterprise data platforms, including Data Warehouse, Microsoft Fabric, and Data Lake solutions, to maintain accessibility and performance. • Prepare and maintain curated datasets used in Power BI dashboards, executive reporting, and operational analysis. • Establish data quality checks, investigate root causes of information issues, and implement corrective actions to improve trust in reporting. • Contribute to master data governance practices and recommend effective integration patterns and data architecture standards.
2026-10-07T00:00:00Z

Web Analytics Specialist

Philadelphia, PA
remote
Temporary / Contract
35.625 - 41.25 USD / Hourly
We are looking for a Web Analytics Specialist to support digital measurement and insight generation for a healthcare-focused organization in Philadelphia, Pennsylvania. This Long-term Contract role is ideal for a mid-level analyst who combines strong technical capabilities with sharp business judgment, turning complex web data into clear recommendations for cross-functional partners. The person in this position will help shape how marketing, campaign, and paid media performance are measured while contributing to a collaborative, insight-driven team environment. Responsibilities: • Design, update, and optimize Power BI dashboards that give stakeholders clear visibility into website, campaign, and funnel performance. • Analyze digital behavior and marketing results to uncover trends, explain performance shifts, and translate findings into practical recommendations. • Develop meaningful measurement frameworks and introduce new KPIs that improve how online engagement and conversion activity are evaluated. • Use website analytics data to answer detailed business questions, including page-level interaction patterns and audience engagement across digital properties. • Work closely with marketing, web, data, and engineering partners to align reporting needs, improve data usability, and support informed decision-making. • Oversee recurring performance reporting while also responding to ad hoc analytical requests tied to evolving business priorities. • Manage multiple stakeholder needs at once, ensuring deadlines are met without losing focus on quality or strategic value. • Query and interpret data within Databricks and collaborate with engineering teams on data accessibility, structure, and analytics readiness. • Support analytics tagging and tracking initiatives through tools such as Tealium and contribute to reporting environments connected to layered data models, including Silver and Gold data assets.
2026-10-15T00:00:00Z

BI Analyst

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Business Intelligence Analyst to transform data into actionable insights that drive business decisions. The ideal candidate will have strong experience with Power BI, SQL, data analysis, and reporting in an enterprise environment.Responsibilities<ul><li>Develop and maintain Power BI dashboards, reports, and scorecards.</li><li>Gather reporting requirements from business stakeholders.</li><li>Write complex SQL queries to extract, transform, and analyze data.</li><li>Design and maintain data models, datasets, and KPIs.</li><li>Identify trends, opportunities, and operational insights through data analysis.</li><li>Validate data accuracy and troubleshoot reporting issues.</li><li>Partner with business, IT, and leadership teams to support data-driven decision-making.</li><li>Document reporting processes and data definitions.</li></ul>
2026-10-09T00:00:00Z

Power BI/NetSuite/Adaptive Insights Analyst

Tampa, FL
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
We are looking for a finance-savvy BI specialist with strong attention to detail to turn complex operational and financial data into clear, actionable insight for stakeholders in Florida. This role partners closely with business leaders to design reporting solutions, strengthen planning visibility, and improve decision-making across finance-focused functions. The ideal candidate brings hands-on experience with Power BI, NetSuite, and Workday Adaptive Planning, along with the ability to work comfortably in a collaborative hybrid environment. Responsibilities: • Partner with finance and business stakeholders to understand reporting needs and translate them into effective dashboards, models, and analytics solutions. • Build and maintain Power BI reports that present financial and operational performance in a clear, accurate, and decision-ready format. • Develop data models, calculations, and DAX logic to support recurring analysis, KPI tracking, and management reporting. • Work with NetSuite and Workday Adaptive Planning data to deliver insights that support budgeting, forecasting, and broader FP&A activities. • Collaborate with technical team members on data preparation, integration, and quality improvement efforts across reporting sources. • Use analytical tools and scripting, including Python where appropriate, to streamline reporting processes and enhance data analysis. • Support business users by validating outputs, resolving reporting issues, and refining dashboards based on feedback and evolving priorities. • Contribute to analytics initiatives that improve financial visibility and strengthen data-driven planning across the organization.
2026-10-06T00:00:00Z

Principal Data Engineer

Avon, MN
onsite
Permanent / Full Time
130000 - 190000 USD / Yearly
We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience. Responsibilities:• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.
2026-10-16T00:00:00Z

Principal Data Engineer

Des Moines, IA
remote
Permanent / Full Time
180000 - 225000 USD / Yearly
Position: Principal Data Engineer | Direct Hire Permanent Location: Remote Salary: $180,000 - $225,000 base plus SIGNIFICANT bonus and or equity potential *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. *** Build the data foundation that powers analytics, AI, and enterprise decision-making. We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases. What You’ll Own • Design and build a modern data platform across ingestion, transformation, storage, and consumption • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document) • Establish data architecture standards, modeling practices, and engineering frameworks • Create secure, multi-tenant data environments with strong governance and access controls • Build data models and serving layers for reporting, self-service analytics, and AI workloads • Evaluate and implement cloud data technologies for performance, cost, and scalability • Partner with engineering and business leaders to align data strategy with company priorities • Guide vendors and external partners while enforcing internal data standards and quality What You Bring • 10+ years of experience in data engineering, including large-scale architecture ownership • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar • Expertise building batch and streaming pipelines in cloud environments (AWS preferred) • Deep knowledge of data modeling for both transactional and analytical systems • Hands-on experience with Snowflake, Redshift, or modern data platforms • Strong understanding of data governance, privacy, and secure data design • Experience with ETL frameworks, testing, and CI/CD-driven data workflows • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders Why This Role • Architect and build a next-generation data platform from foundational level • Direct impact on analytics, product insights, and AI capabilities • High ownership, visibility, and influence across engineering and leadership • Opportunity to define standards, tooling, and long-term data strategy If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front. *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-09-23T00:00:00Z

Principal Data Engineer

Des Moines, IA
remote
Permanent / Full Time
225000 - 300000 USD / Yearly
Position: Principal Data Engineer | Direct Hire Permanent Location: Remote Salary: $225,000 - 300,000 base plus bonus potential *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. *** Build the data foundation that powers analytics, AI, and enterprise decision-making. We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases. What You’ll Own • Design and build a modern data platform across ingestion, transformation, storage, and consumption • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document) • Establish data architecture standards, modeling practices, and engineering frameworks • Create secure, multi-tenant data environments with strong governance and access controls • Build data models and serving layers for reporting, self-service analytics, and AI workloads • Evaluate and implement cloud data technologies for performance, cost, and scalability • Partner with engineering and business leaders to align data strategy with company priorities • Guide vendors and external partners while enforcing internal data standards and quality What You Bring • 10+ years of experience in data engineering, including large-scale architecture ownership • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar • Expertise building batch and streaming pipelines in cloud environments (AWS preferred) • Deep knowledge of data modeling for both transactional and analytical systems • Hands-on experience with Snowflake, Redshift, or modern data platforms • Strong understanding of data governance, privacy, and secure data design • Experience with ETL frameworks, testing, and CI/CD-driven data workflows • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders Why This Role • Architect and build a next-generation data platform from foundational level • Direct impact on analytics, product insights, and AI capabilities • High ownership, visibility, and influence across engineering and leadership • Opportunity to define standards, tooling, and long-term data strategy If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.
2026-09-23T00:00:00Z

Senior Business Analyst

Farmers Branch, TX
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for a Senior Business Analyst to strengthen reporting, analytics, and data quality efforts across the organization in Farmers Branch, Texas. This role will work closely with operational and functional leaders to turn business needs into practical insights, dependable metrics, and effective dashboard solutions. The ideal candidate brings strong analytical judgment, hands-on reporting expertise, and the ability to improve data consistency across multiple platforms. Responsibilities: • Lead the ongoing management of enterprise data accuracy, completeness, and reliability across core business applications and reporting environments. • Develop and refine dashboards, recurring reports, and analytical tools that help teams evaluate performance, support planning, and guide growth strategies. • Collaborate with department leaders and site stakeholders to understand reporting objectives and convert business questions into clear, usable data solutions. • Retrieve, combine, and maintain information from various business systems to meet cross-functional analysis and reporting needs. • Partner with data and system stakeholders to uphold governance practices, including standard definitions, validation methods, and reporting consistency controls. • Investigate data issues, identify underlying causes of discrepancies, and coordinate with system owners to resolve gaps or inconsistencies. • Prepare clear documentation for reporting requests, data relationships, process workflows, and enhancement initiatives. • Track key performance indicators and business trends, highlighting risks, patterns, and improvement opportunities for leadership. • Support monthly and periodic reporting deadlines by delivering validated data outputs on schedule.
2026-09-30T00:00:00Z

Senior Business Analyst

Santa Monica, CA
onsite
Temporary / Contract
66.5 - 77 USD / Hourly
**** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume.**** We are looking for an experienced Sr. Business Analyst to support enterprise analytics and data integration initiatives in California. This is a Long-term Contract opportunity for a detail-oriented individual who can bridge business needs with technical delivery across cloud and on-premise reporting environments. The ideal candidate will bring strong expertise in Oracle analytics platforms, data pipeline coordination, and stakeholder collaboration to help deliver reliable, analytics-ready data solutions. Responsibilities:• Partner with business and technical stakeholders to gather requirements, define data needs, and translate reporting objectives into practical analytics solutions.• Support the design and coordination of data ingestion processes that move information from multiple source systems into Oracle analytics environments and enterprise data platforms.• Analyze existing data flows and recommend efficient extract-and-load approaches that prioritize dependable movement, scheduling, and connectivity across systems.• Work closely with development and integration teams using tools such as Oracle Analytics Cloud, Oracle Analytics Server, Azure Data Factory, Informatica, and Oracle databases to support reporting initiatives.• Help onboard new data sources by validating business rules, documenting source-to-target requirements, and preparing datasets for downstream analytics and dashboard consumption.• Monitor data quality, investigate inconsistencies, and assist in resolving issues affecting dashboards, reports, and analytical outputs.• Contribute to system integration efforts involving cloud services, external applications, and database platforms to ensure stable and scalable analytics operations.• Create and maintain clear project documentation, status updates, process maps, and requirement artifacts for cross-functional teams and leadership.• Support reporting and visualization needs across platforms such as Tableau and Power BI, including assisting with administration or migration-related activities when needed.
2026-10-15T00:00:00Z

Database Technology Product Manager

Commerce, CA
onsite
Temporary / Contract
95 - 110 USD / Hourly
We are looking for a Database Technology Product Manager to lead the strategy, development, and launch of advanced data-driven products within a hospitality environment in California. This contract-to-permanent opportunity is ideal for an experienced product leader who can connect executive priorities with technical execution, while shaping new capabilities that turn complex customer data into meaningful business insight. The right candidate will bring a strong command of machine learning, data science, and hospitality consumer behavior, along with the presence and judgment to communicate effectively at the board level. Responsibilities: • Lead the full product lifecycle for database and data science initiatives, from early concept development through deployment, measurement, and ongoing enhancement. • Act as the central point of coordination between executive leadership, business stakeholders, and engineering teams to keep priorities aligned and delivery on track. • Establish and grow a technical product management function focused on research and development initiatives within the organization. • Define product strategy, investment priorities, and roadmap decisions for proprietary data products that support customer insight and business growth. • Develop a data science inference capability that converts large and complex datasets into recommendations, decision support, and behavioral signals across hospitality experiences. • Deliver clear updates to senior executives and board-level audiences, clearly outlining progress, risks, outcomes, and future plans. • Guide prioritization and governance discussions by evaluating trade-offs, setting benchmarks, and supporting funding-related decision processes. • Partner with technical teams to translate machine learning, data modeling, and analytics concepts into practical product direction and measurable value. • Help bring specialized products to market responsibly while serving as a strategic interface between developers and customer-facing partners.
2026-10-15T00:00:00Z

Database Engineer

Westlake, OH
onsite
Permanent / Full Time
70000 - 155000 USD / Yearly
We are looking for a skilled Database Engineer to join our team in Westlake, Ohio. In this role, you will design, implement, and optimize database solutions to support business operations and data-driven decision-making. You will collaborate with cross-functional teams and leverage advanced technologies to ensure robust database performance and scalability. Responsibilities: • Design and implement database solutions that align with business requirements and technical specifications. • Optimize and tune database performance to ensure efficiency and scalability. • Collaborate with cross-functional teams to analyze data needs and develop appropriate solutions. • Write, test, and troubleshoot complex SQL queries, including joins, aggregations, and stored procedures. • Monitor and maintain database systems, performing regular updates and performance checks. • Utilize source control and CI/CD tools, such as Azure DevOps, to manage database development and deployment. • Stay updated on emerging technologies and integrate new tools into existing systems as needed. • Provide technical guidance and support to team members regarding database-related issues. • Ensure data integrity and security through regular audits and implementation of best practices.
2026-10-01T00:00:00Z

Oracle FDI - Data Reporting Analyst

Reading, PA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a skilled Oracle FDI - Data Reporting Analyst to join a Long-term Contract opportunity in Reading, Pennsylvania. In this role, you will create and improve reporting solutions that help teams understand workforce performance, operational activity, and broader business trends. You will work closely with both business partners and technical teams to turn data needs into practical dashboards, reports, and insights that support informed decision-making. Responsibilities: • Design, build, and refine dashboards, recurring reports, and visual analytics that support enterprise reporting objectives. • Use Oracle Fusion Data Intelligence to gather, interpret, and present workforce and business data in a meaningful way. • Collaborate with Workforce Technology leaders and cross-functional stakeholders to define reporting needs and deliver useful data solutions. • Perform data preparation activities such as validation, transformation, and modeling to improve the reliability of reporting outputs. • Connect and organize data from multiple sources to support scalable analytics across reporting environments. • Analyze patterns and reporting results to highlight trends, strengthen data quality, and support business decisions. • Maintain and enhance existing reporting assets to ensure they remain accurate, relevant, and aligned with organizational priorities.
2026-10-15T00:00:00Z

Cloud Administrator

Richardson, TX
onsite
Permanent / Full Time
120000 - 150000 USD / Yearly
We are seeking a hands-on Cloud Infrastructure Engineer to support, manage, and optimize infrastructure across multi-cloud and on-premises environments. This role will work with AWS, Microsoft Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI), supporting day-to-day cloud operations, infrastructure provisioning, performance, security, connectivity, capacity management, and automation. The ideal candidate has a strong traditional IT infrastructure foundation combined with hands-on cloud experience. This person should be comfortable working across multiple cloud platforms rather than being limited to a single provider. Key Responsibilities<ul><li>Provision, configure, manage, and decommission virtual machines, containers, storage, networking, and other cloud resources.</li><li>Support infrastructure across AWS, Azure, GCP, and OCI environments.</li><li>Establish and maintain asset tagging and resource organization standards to support inventory management, reporting, governance, and cost visibility.</li><li>Monitor cloud infrastructure performance and troubleshoot availability, utilization, and performance issues.</li><li>Perform resource optimization and right-sizing based on capacity, utilization, performance, and business requirements.</li><li>Configure new cloud environments for departments and business units, including resource organization, networking, access, security, and governance.</li><li>Apply general cloud security best practices, including identity and access management, permissions, network security, and resource protection.</li><li>Support and troubleshoot VPNs, networking, DNS, routing, and connectivity between cloud and on-premises environments.</li><li>Provide infrastructure-level support to development teams, including troubleshooting issues involving APIs, authentication, connectivity, and cloud services.</li><li>Perform capacity planning, utilization monitoring, and infrastructure reporting across cloud environments.</li><li>Support both Windows and Linux infrastructure.</li><li>Identify repetitive administrative processes and automate routine infrastructure tasks.</li><li>Develop scripts and automation using technologies such as PowerShell, Bash, and Python.</li><li>Troubleshoot infrastructure issues spanning cloud, networking, operating systems, and applications.</li><li>Maintain documentation of cloud configurations, processes, procedures, and infrastructure standards.</li></ul>
2026-09-29T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Machine Learning Engineer

Glendale, AZ
onsite
Temporary / Contract
65 - 70 USD / Hourly
Robert Half is working with a client who is looking to hire a Machine Learning Engineer to help operationalize machine learning models as part of a growing enterprise AI program.This role will sit between Data Science and Engineering and will focus on taking models from experimentation into reliable, scalable production environments.Responsibilities<ul><li>Develop and deploy machine learning models into production.</li><li>Build reusable ML pipelines for training, testing, deployment, and monitoring.</li><li>Partner with Data Scientists to productionize predictive models.</li><li>Develop APIs and services that expose machine learning capabilities to enterprise applications.</li><li>Monitor model performance, drift, and reliability.</li><li>Build automated testing and deployment processes for ML workloads.</li><li>Optimize model performance and infrastructure utilization.</li><li>Work with Data Engineering teams to establish reliable training and inference datasets.</li></ul>
2026-10-06T00:00:00Z

Cloud Engineering Specialist

Union, NJ
onsite
Temporary / Contract
42.75 - 49.5 USD / Hourly
We are looking for a skilled Cloud Engineering Specialist to support secure and reliable cloud services for a university environment in Union, New Jersey. This Long-term Contract position focuses on strengthening Microsoft 365 and related identity platforms while helping maintain resilient, scalable, and high-performing systems. The role is well suited for a hands-on cloud specialist who can balance technical problem-solving, automation, and cross-functional collaboration in a dynamic academic setting. Responsibilities: • Oversee daily administration and support of the Microsoft 365 environment to ensure dependable service delivery and strong platform performance. • Manage and enhance cloud and identity solutions across Azure, Active Directory, Exchange Online, SharePoint, and Okta-connected services. • Develop and maintain automation scripts, including PowerShell-based tasks, to improve efficiency, consistency, and operational control. • Troubleshoot authentication, access, and integration issues involving cloud platforms and federated identity services. • Partner with security, infrastructure, and application teams to strengthen the protection, availability, and scalability of institutional systems. • Produce reports and validate account or access data by reconciling information from connected enterprise platforms such as student-related systems. • Support cloud engineering initiatives by applying sound technical judgment and documenting solutions, configurations, and support processes.
2026-09-25T00:00:00Z

Sr ETL Developer w/ Databricks Lakehouse

Brandon, FL
onsite
Permanent / Full Time
125000 - 175000 USD / Yearly
Sr ETL Developoer w/ modern Databricks Lakehouse Platform experience. This position will be hybrid in the East Hillsborough County area with 2 days remote per week. We are looking for a senior data engineering specialist to design and enhance modern data solutions that support enterprise reporting, analytics, and operational workloads. This role blends deep ETL and database development expertise with hands-on work in the Databricks Lakehouse ecosystem, helping teams build reliable, scalable, and well-governed data assets. The ideal candidate brings strong SQL Server experience, practical knowledge of Databricks technologies, and a collaborative approach to delivering maintainable solutions across business and technology teams. Responsibilities:• Build, support, and improve data solutions within the Databricks platform, including notebooks, workflows, Delta Lake, and Unity Catalog capabilities.• Define and maintain data governance structures by organizing catalogs, schemas, tables, storage volumes, access controls, lineage, and quality expectations.• Create and manage ETL processes for data ingestion, transformation, batch execution, and incremental synchronization across enterprise systems.• Develop repeatable integration patterns, technical templates, and engineering standards that encourage broader adoption of Databricks across applications.• Partner with teams using Databricks Lakebase and PostgreSQL to enable transactional, operational, and analytical data use cases.• Design and maintain AI-driven business intelligence environments using trusted enterprise datasets, semantic layers, user guidance, and sample prompts or queries.• Investigate and resolve issues affecting pipelines, scheduled jobs, workflows, and overall platform performance.• Develop, test, and maintain SQL Server database objects such as stored procedures, functions, views, and triggers to support application and integration needs.• Optimize database performance by refining queries, reviewing execution plans, improving indexing strategies, and addressing locking or concurrency issues.• Contribute to Agile delivery activities by participating in planning sessions, design discussions, code reviews, and collaboration with stakeholders and application developers.
2026-10-05T00:00:00Z

Senior Machine Learning Engineer

Houston, TX
onsite
Permanent / Full Time
140000 - 175000 USD / Yearly
As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.🔧 Core Responsibilities<ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI</li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul>
2026-10-05T00:00:00Z

125 results for Big Data Analytics jobs