118 Results for Big Data Analytics Jobs

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Data Scientist

Bala Cynwyd, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools. Responsibilities: • Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting. • Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders. • Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format. • Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows. • Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources. • Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences. • Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices. • Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed. • Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
2026-10-01T00:00:00Z

Data Analyst I

Phoenix, AZ
onsite
Temporary / Contract
20 - 24 USD / Hourly
Data Analyst ILocation: Hybrid, 4 days onsite / 1 day remote Duration: Contract with potential for full-time conversion This entry-level Data Analyst opportunity is ideal for a highly curious, analytical, and proactive problem solver who enjoys identifying trends, investigating issues, improving processes, and driving operational efficiency. The role focuses on root cause analysis, process optimization, and collaborating with business partners to create sustainable operational improvements. Responsibilities:<ul><li>Identify trends, recurring issues, and opportunities for process improvement across operational workflows</li><li>Investigate root causes of issues and implement sustainable corrective actions</li><li>Analyze data from daily reports, closed tickets, and workflow activities to improve operational efficiency</li><li>Research, troubleshoot, and resolve complex or unfamiliar issues</li><li>Document findings, recommendations, process updates, and operational changes</li><li>Partner with stakeholders to streamline processes and eliminate unnecessary work</li><li>Monitor workflow performance and recommend enhancements to improve business outcomes</li><li>Support continuous improvement initiatives through data-driven analysis and problem-solving</li></ul>
2026-10-06T00:00:00Z

Epic Data Engineer

Milwaukee, WI
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
We are looking for a Data Analyst to turn complex healthcare, financial, and operational data into meaningful insights that guide leadership decisions. This position supports organizational performance by connecting information from clinical and business systems, building practical reporting tools, and highlighting trends that matter. Based in Milwaukee, Wisconsin, the role works closely with finance, operations, and clinical stakeholders to improve visibility, planning, and overall effectiveness. Local candidates to the Greater Milwaukee area with Healthcare Epic experience is desired. Responsibilities:• Create and maintain dashboards, scorecards, and recurring reports that combine Epic data with financial and operational information from connected platforms.• Work with leaders across finance, operations, and clinical teams to define measurable indicators and track performance in patient services, revenue activity, and resource use.• Gather, clean, and evaluate large datasets to support forecasting, monthly business reviews, and long-range planning initiatives.• Present findings in a clear, business-focused format so non-technical stakeholders can understand trends, risks, and opportunities.• Collaborate with IT and data governance partners to uphold data accuracy, reporting consistency, and compliance with organizational standards.• Identify patterns in clinical and administrative workflows and recommend improvements that increase efficiency and support better decision-making.• Contribute to reporting automation and process enhancements that improve speed, reliability, and access to timely performance data.
2026-09-28T00:00:00Z

Director, Data Analytics/AI

San Antonio, TX
onsite
Temporary to Hire
66.5 - 77 USD / Hourly
We are looking for a Manager/Director level candidate to join a contract-to-permanent role based in San Antonio, Texas, to help support initiatives around Data Analytics and AI. In this role, you will partner with stakeholders across multiple business functions to uncover opportunities, shape technology-driven solutions, and guide analytics initiatives that improve decision-making. This position will play a key role in leading business intelligence efforts, with a strong focus on Power BI, data strategy, and modern cloud-enabled architectures. Responsibilities: • Drive cross-functional analysis to identify business challenges, define opportunities for improvement, and recommend practical technology solutions aligned with organizational goals. • Lead the design and advancement of analytics and business intelligence capabilities, including oversight of Power BI reporting environments and semantic or tabular data models. • Collaborate with technical teams and business leaders to translate operational needs into scalable data, reporting, and application requirements. • Provide leadership across the software development lifecycle, supporting planning, solution design, delivery, testing, and ongoing enhancement activities. • Architect and integrate both on-premises and cloud-based platforms to support reporting, data access, and enterprise analytics initiatives. • Guide data warehousing strategies and SQL-based data solutions to ensure reliable, high-quality information is available for business users. • Support the implementation of cloud technologies and connected systems, including integration work involving XML and related standards such as XPath. • Mentor and coordinate development resources, helping ensure delivery standards, technical quality, and best practices are consistently followed.
2026-10-07T00:00:00Z

Data Architect

Glendale, AZ
onsite
Temporary / Contract
100 - 105 USD / Hourly
Robert Half is working with a client who is looking to hire a Data Architect to help define the architecture and technical direction of a major enterprise data modernization initiative.This individual will be responsible for designing scalable data platforms, establishing enterprise data standards, and providing architectural guidance across engineering, analytics, reporting, and AI initiatives.Responsibilities<ul><li>Design enterprise data architecture across cloud and on-premise environments.</li><li>Define architectural standards for data ingestion, storage, transformation, governance, and consumption.</li><li>Develop conceptual, logical, and physical data models.</li><li>Provide technical direction to Data Engineers and Analytics teams.</li><li>Evaluate technologies and recommend appropriate data platform solutions.</li><li>Design integrations across ERP, CRM, operational, and third-party systems.</li><li>Partner with security and governance teams to establish data controls.</li><li>Support cloud migration and data platform modernization projects.</li><li>Create architecture diagrams, roadmaps, and technical documentation.</li></ul>
2026-10-06T00:00:00Z

Power BI/NetSuite Data Analytics Engineer

Tampa, FL
onsite
Permanent / Full Time
100000 - 130000 USD / Yearly
Working as an IT professional serving FP&A group in administering and developing new tools, functionality enhancements, and departmental modification requests. This role will require strong Power BI Engineering skills, NetSuite ERP administration and quality assurance, and maintaining clean and scalable usage of Workday Adaptive Planning We are looking for a finance-savvy analytics specialist to connect business priorities with data-driven reporting and planning solutions in Tampa, Florida. This role works across Finance, Technology, and leadership teams to turn complex operational and financial information into clear insights that support planning, performance measurement, and strategic decisions. The ideal candidate brings strong experience with Power BI, enterprise financial systems, and modern analytics practices, along with the ability to communicate effectively with both technical and non-technical stakeholders. Responsibilities:• Work closely with finance leaders and cross-functional partners to gather reporting needs and translate them into practical analytics solutions.• Design and enhance Power BI dashboards and recurring reports that provide leadership with clear visibility into business and financial performance.• Build, refine, and troubleshoot data queries to pull information from enterprise platforms for analysis, validation, and reporting.• Coordinate with data engineering teams to support reliable data flows, scalable reporting structures, and consistent metric definitions.• Evaluate financial and operational results, uncover meaningful trends, and deliver actionable recommendations to decision-makers.• Support budgeting, forecasting, and planning activities by creating reporting tools and analytical outputs that improve accuracy and insight.• Develop data models and performance measures that track revenue, expenses, utilization, and other key business indicators.• Use Python and related tools to streamline manual reporting tasks and strengthen analytical automation.• Promote data quality, governance, and reporting consistency across systems used by finance and business teams.
2026-10-05T00:00:00Z

Data Engineer

Cincinnati, OH
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support a short-term Contract engagement focused on assessing and strengthening OpenLink security role design for a recently acquired business. This position will play a key role in reviewing current configurations, identifying gaps in segregation of duties, and helping shape a more effective access model. The role is based in Cincinnati, Ohio, with flexibility for remote or hybrid work depending on experience and project needs. Responsibilities: • Evaluate the existing OpenLink security framework and determine how well current role assignments support appropriate access controls. • Recommend and help design an improved security role structure that aligns with segregation-of-duties expectations across the environment. • Configure and refine OpenLink settings to support a secure, scalable, and well-governed access model. • Partner with project stakeholders to document findings, explain risk areas, and outline practical remediation options. • Support analysis related to the acquired company’s OpenLink setup and identify where adjustments are needed for consistency and control. • Contribute technical expertise during project discussions, providing guidance on role configuration best practices and implementation considerations. • Use data engineering tools and scripting capabilities to assist with analysis, validation, and supporting technical tasks where applicable.
2026-10-07T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Engineer to develop and maintain scalable data pipelines and cloud-based data platforms. This role will work closely with analytics and business teams to deliver reliable, high-quality data solutions.Responsibilities<ul><li>Build and maintain ETL/ELT processes.</li><li>Develop data pipelines for structured and unstructured data.</li><li>Support enterprise data warehouse solutions.</li><li>Optimize data models and database performance.</li><li>Implement data quality and governance standards.</li><li>Collaborate with business intelligence teams.</li></ul>
2026-10-09T00:00:00Z

Data Engineer

Remote, OH
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to support data-focused initiatives with a strong emphasis on controls, process clarity, and technical documentation. This is a Long-term Contract position expected to begin as a 3-4 month engagement at 40 hours per week, with remote work flexibility. The ideal candidate will help strengthen data workflows, improve reliability across engineering processes, and create well-organized documentation that supports ongoing delivery and compliance. Responsibilities:• Design, build, and maintain data pipelines that support reliable movement and transformation of information across platforms.• Develop clear technical documentation, data process records, and control-related artifacts to improve transparency and audit readiness.• Use Python, Apache Spark, and ETL frameworks to prepare, cleanse, and transform large datasets for downstream consumption.• Work with Hadoop- and Kafka-based environments to support scalable data processing and streaming or batch integration needs.• Review existing data workflows to identify gaps in controls, consistency, and documentation quality, then recommend practical improvements.• Collaborate with cross-functional stakeholders to clarify data requirements, align engineering deliverables, and support operational continuity.• Monitor pipeline performance and troubleshoot data issues to maintain dependable processing and accurate outputs.
2026-10-08T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
Robert Half is working with a client in the metro-Atlanta area seeking a Data Engineer.<ul><li>Develop ETL/ELT pipelines</li><li>Integrate multiple data sources</li><li>Optimize performance</li><li>Build data models</li><li>Manage cloud environments</li><li>Support analytics teams</li></ul>
2026-10-02T00:00:00Z

Data Engineer

St. Paul, MN
onsite
Temporary to Hire
57 - 66 USD / Hourly
We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases. Responsibilities:• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.• Improve platform performance through tuning, cost management, and scalability planning across data workloads.• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.
2026-10-01T00:00:00Z

Data Engineer

St. Paul, MN
onsite
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for an experienced Data Engineer to jcreate and enhance dependable data platforms that support HR and enterprise analytics, partnering closely with analysts, engineering leads, and business stakeholders on site. The position focuses on building scalable pipelines, strengthening data quality, and enabling trusted insights that improve operational decision-making across the organization. Responsibilities:• Design, develop, and maintain scalable data pipelines that integrate information from files, APIs, databases, replicated sources, and streaming inputs.• Build and support modern data environments across warehouses, data lakes, and lakehouse architectures to meet analytics and reporting needs.• Partner with business analysts, HR stakeholders, and technical team members to translate data requirements into reliable engineering solutions.• Improve data quality, lineage, and governance by applying metadata-driven practices and implementing controls that increase trust in enterprise datasets.• Lead end-to-end delivery of data engineering initiatives, from solution design and development through testing, deployment, and operational support.• Manage orchestration, scheduling, and monitoring of data workflows to ensure stable performance and timely delivery of critical datasets.• Apply DevOps practices such as version control, automated testing, and CI/CD processes to increase deployment quality and team collaboration.• Use Python, SQL, and cloud-based tools to automate data processing, optimize performance, and support scalable distributed workloads.• Implement data protection measures, including masking, encryption, anonymization, and role-aware access design, especially for sensitive workforce information.• Support curated analytical datasets and reporting solutions by collaborating with downstream users on trusted models and enterprise data products.
2026-10-05T00:00:00Z

Data Engineer

Seattle, WA
remote
Temporary / Contract
70 - 75 USD / Hourly
Robert Half is seeking an Enterprise Data Modeler to support a major enterprise data initiative for a professional services organization based in Seattle, WA. This consultant will help develop a governed semantic data layer using Denodo, creating consistent business definitions and trusted data models to support reporting, analytics, and AI-assisted data access. Duration: 6 months contract to hire Location: 100% remote Schedule: Monday - Friday - CST hours Key Responsibilities<ul><li>Design and maintain conceptual, logical, and semantic data models that establish consistent business definitions and relationships across enterprise data.</li><li>Build and support Denodo base, derived, interface, and semantic views for reporting, analytics, and AI applications.</li><li>Apply enterprise data modeling standards for naming conventions, keys, relationships, reusable entities, and certified reporting views.</li><li>Reconcile conflicting data definitions, identifiers, and business rules across multiple source systems.</li><li>Define and maintain Denodo metadata, associations, descriptions, and business terminology to support reporting tools and AI-assisted querying.</li><li>Collaborate with data governance and security teams to support data classification, lineage, privacy, and access controls.</li><li>Align data models with master data management (MDM) standards, business glossaries, and data catalog tools such as Collibra.</li><li>Support AI and MCP-based use cases by defining business terminology, synonyms, sample questions, and testing criteria for data query accuracy.</li><li>Maintain documentation, including data dictionaries, entity catalogs, source-to-target mappings, lineage, and modeling standards.</li></ul>
2026-10-09T00:00:00Z

Data Engineer

Princeton, NJ
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments. Responsibilities: • Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms. • Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability. • Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance. • Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions. • Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability. • Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies. • Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
2026-09-23T00:00:00Z

Data Engineer

Woodbury, MN
onsite
Temporary / Contract
60 - 70 USD / Hourly
We are looking for a Data Engineer to join an immediate contract opportunity in Woodbury, Minnesota. In this role, you will help advance a customer-focused analytics platform by creating reliable data solutions that support reporting, APIs, and interactive insights. You will work closely with technical and business partners to shape scalable data structures and deliver high-quality information products in a collaborative environment. Responsibilities:• Create and support robust data pipelines that move and prepare information for analytics and downstream applications.• Build transformation workflows using dbt and optimize processing logic with Python, Spark SQL, and PySpark.• Coordinate scheduled and dependency-driven data jobs with Apache Airflow to ensure consistent delivery.• Ingest and manage data within an on-premises environment, maintaining efficiency, quality, and availability.• Develop data services and API-ready outputs so customers can access information through external BI and analytics tools.• Contribute to semantic and visualization layers, including tools such as Cube.dev or similar platforms, to improve analytics usability.• Partner with application and dashboard developers to align data structures with customer-facing reporting needs.• Work with stakeholders across product, business, and engineering teams to define solutions that support platform goals and user expectations.• Apply modern development practices and AI-assisted tools where appropriate to improve productivity and accelerate delivery.
2026-10-11T00:00:00Z

Data Engineer

Seattle, WA
remote
Temporary / Contract
70 - 75 USD / Hourly
Robert Half is seeking an experienced Data Visualization Engineer with strong Denodo expertise to support a law firm and its growing data and analytics initiatives. This role will focus on building and optimizing data services, integrating information from multiple enterprise platforms, and creating the interface layer that enables meaningful visualization and reporting across the firm. A key area of focus will be supporting analytics related to AI tool adoption and usage, helping business and technology leaders gain visibility into how AI technologies are being utilized across legal and operational teams. Responsibilities:<ul><li>Design, develop, and maintain data views and data services within the Denodo platform.</li><li>Connect and integrate data from multiple enterprise systems, including ERP, CRM, HRIS, and other business applications.</li><li>Build and manage base views, derived views, and interface views.</li><li>Create and maintain data virtualization solutions that support reporting and visualization initiatives.</li><li>Develop and troubleshoot API integrations, including authentication methods such as OAuth and Basic Authentication.</li><li>Validate and test integrations using Postman, Swagger, and related tools.</li><li>Investigate and resolve data connectivity and API-related issues.</li><li>Partner with business leaders and end users to understand reporting requirements and deliver scalable data solutions.</li><li>Support visualization and analytics efforts related to AI tool usage, adoption metrics, and operational reporting.</li></ul>
2026-10-08T00:00:00Z

Data Engineer

Battle Creek, MI
onsite
Permanent / Full Time
70000 - 110000 USD / Yearly
We are looking for a Data Engineer to help maintain and improve a mission-driven technology environment that supports essential nonprofit operations in Battle Creek, Michigan. This position blends application support, database engineering, and systems integration work, making it ideal for someone who enjoys solving technical problems across multiple platforms. The role works closely with internal teams and external partners to keep business systems reliable, data accurate, and reporting processes running smoothly. Responsibilities: • Maintain and resolve issues across core business applications, including Dynamics 365 Business Central, Microsoft 365, SharePoint, Power BI, procurement tools, workforce systems, and other connected platforms. • Administer Microsoft SQL Server environments by monitoring system health, tuning performance, managing security access, and overseeing backup, recovery, upgrade, and capacity planning activities. • Build, refine, and troubleshoot SQL queries to support operational needs while identifying and correcting data consistency, accuracy, and reconciliation problems between systems. • Develop and support integrations, APIs, ETL processes, Azure Data Factory workflows, scheduled data exchanges, and SFTP-based transfers to ensure dependable movement of information across platforms. • Investigate reporting and data warehouse issues by resolving failed loads, refresh interruptions, and mismatches between source systems and business intelligence outputs. • Contribute to software rollouts and system enhancements through testing, data conversion support, deployment activities, post-launch issue resolution, and production stabilization efforts. • Partner with software vendors and external service providers to diagnose complex technical challenges and drive incidents through to completion. • Create and maintain clear technical documentation for applications, databases, integrations, and data flows while sharing knowledge with teammates to strengthen team coverage. • Support both strategic engineering work and day-to-day technical tasks within a collaborative IT team, adapting to changing priorities as needed.
2026-09-28T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Engineer to design, build, and maintain scalable data pipelines on Microsoft Azure. This role will support enterprise reporting, analytics, and machine learning initiatives by ensuring the availability and integrity of critical business data.Responsibilities<ul><li>Design and develop ETL/ELT data pipelines</li><li>Build and maintain Azure data platforms and data lakes</li><li>Integrate data from APIs, databases, and third-party systems</li><li>Develop data models supporting analytics and reporting</li><li>Optimize database and pipeline performance</li><li>Implement data quality and monitoring solutions</li><li>Collaborate with analysts, developers, and business users</li></ul>
2026-10-08T00:00:00Z

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000 - 150000 USD / Yearly
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-10-08T00:00:00Z

Data Engineer

Appleton, WI
onsite
Temporary to Hire
57 - 70 USD / Hourly
We are looking for an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level candidate who enjoys building scalable cloud-based data platforms, working hands-on with Python and notebook-driven development, and applying AI-enabled tools to create practical business solutions. The role will focus on designing modern data lake capabilities, improving data movement and transformation processes, and partnering with stakeholders to deliver reliable analytics infrastructure. Responsibilities: • Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations. • Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources. • Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes. • Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads. • Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making. • Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes. • Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives. • Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
2026-10-02T00:00:00Z

Data Engineer

Brookfield, WI
onsite
Permanent / Full Time
100000 - 130000 USD / Yearly
We are looking for a Data Engineer to help shape and expand a cloud-focused data environment that supports analytics, operational reporting, automation, and emerging AI use cases. Based in Brookfield, Wisconsin, this position works across technical and business teams to deliver dependable data solutions that improve access, accuracy, and usability. The role is ideal for someone who thrives on translating complex data needs into scalable engineering outcomes and values collaboration, problem-solving, and continuous improvement. Responsibilities: • Design, build, and maintain scalable data pipelines that move and transform information for analytics, reporting, and operational needs. • Partner with business stakeholders, analysts, software developers, and leaders to understand data requirements and turn them into reliable engineering solutions. • Develop and refine data models and platform architecture to support performance, flexibility, and long-term growth. • Implement ETL processes that integrate data from multiple sources while improving consistency, completeness, and accessibility. • Use Python and distributed data technologies such as Apache Spark and Hadoop to process large and complex datasets efficiently. • Support streaming and event-driven data workflows using tools such as Apache Kafka where real-time data delivery is needed. • Monitor data quality, troubleshoot pipeline issues, and optimize workflows to ensure dependable delivery and strong system performance. • Contribute to ongoing enhancements of the data platform by identifying opportunities to improve scalability, automation, and engineering standards.
2026-09-28T00:00:00Z

Data Engineer

Glendale, AZ
onsite
Temporary / Contract
60 - 70 USD / Hourly
Robert Half is working with a client who is looking to hire a Data Engineer to support a growing enterprise data and analytics initiative. This individual will help build and modernize the data pipelines, integrations, and cloud-based data infrastructure used across the organization.The ideal candidate has experience working with large datasets, modern cloud data platforms, and production-grade ETL/ELT pipelines. This role will work closely with Data Architects, Analytics Engineers, BI teams, and business stakeholders as the organization expands its enterprise data capabilities.Responsibilities<ul><li>Design, build, and maintain scalable ETL/ELT data pipelines.</li><li>Integrate structured and unstructured data from multiple enterprise systems.</li><li>Develop and optimize data models used for analytics and reporting.</li><li>Build solutions within cloud data environments such as Azure, AWS, or GCP.</li><li>Monitor data pipelines for performance, reliability, and data quality.</li><li>Partner with analysts, architects, and application teams to understand data requirements.</li><li>Support the migration of legacy data workloads to modern cloud platforms.</li><li>Develop reusable frameworks and automation for data processing.</li></ul>
2026-10-06T00:00:00Z

Data Engineer

Santa Monica, CA
onsite
Temporary / Contract
55.4135 - 64.163 USD / Hourly
We are looking for a Data Engineer to join a team in Santa Monica, California on a Long-term Contract assignment. This position focuses on building dependable data solutions that connect multiple sources, support reporting needs, and improve access to trusted business information. The role offers a blend of pipeline development, dashboard ownership, data quality work, and cross-functional collaboration with partner teams. Responsibilities: • Design, validate, and release data pipelines that bring together information from varied source systems within an existing ingestion environment. • Create and support connections to external platforms, APIs, and vendor tools so data remains current, consistent, and available for analysis. • Oversee daily pipeline health, investigate processing issues, and partner with senior engineers to address failures and improve reliability. • Develop and maintain roughly 10 business intelligence dashboards used by 2 to 3 stakeholder groups, keeping reporting useful and aligned with team needs. • Improve dashboard quality by reviewing accuracy, optimizing performance, enhancing usability, and retiring reports that no longer provide value. • Write and maintain data validation checks, including tests at the source level to strengthen data quality and reduce downstream issues. • Support data modeling and transformation efforts using dbt to prepare clean, well-structured datasets for analytics and reporting. • Handle ad hoc data requests submitted through an intake process, providing timely answers to business questions with clear supporting analysis. • Produce and update documentation for pipelines, reporting assets, and operational workflows to promote maintainability and knowledge sharing. • Take part in peer code review by submitting thoughtful feedback and incorporating suggestions to maintain strong engineering standards.
2026-10-09T00:00:00Z

Data Engineer

Plano, TX
onsite
Temporary to Hire
60 - 70 USD / Hourly
We are looking for a Data Engineer to join a Financial Services team in Plano, Texas on a contract basis with the potential for a permanent role. This role is focused on designing and delivering reliable data pipelines in a cloud-first environment, with Snowflake serving as a central platform for analytics and data consumption. The position offers a balanced mix of new development and targeted optimization, with an emphasis on improving data quality, operational visibility, and scalable processing capabilities. Responsibilities: • Design, build, and deploy end-to-end data pipelines with Snowflake as a primary data platform. • Create new ingestion and transformation workflows while resolving issues affecting existing pipeline performance and reliability. • Support streaming data integration using Apache Kafka to enable timely and scalable data movement. • Strengthen observability across data workflows by improving monitoring, alerting, and pipeline transparency. • Enhance data quality practices through validation, testing, and proactive issue identification. • Modernize data architecture by reducing dependency on legacy processes and addressing technical debt. • Contribute to engineering standards by applying disciplined development practices, code quality measures, and repeatable delivery methods. • Help expand CI/CD and testing capabilities by promoting more consistent automation across build and release activities. • Use AI-assisted development tools to accelerate coding, testing, and documentation where appropriate.
2026-10-09T00:00:00Z

Data Engineer

Arlington, VA
onsite
Permanent / Full Time
150000 - 170000 USD / Yearly
We are looking for an experienced Data Engineer for a permanent opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up. Responsibilities: • Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis. • Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization. • Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems. • Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets. • Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability. • Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions. • Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data. • Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.
2026-10-08T00:00:00Z

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118 results for Big Data Analytics jobs