123 Results for Big Data Analytics Jobs

Add your latest resume to match with open positions.

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

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.
2026-10-13T00:00:00Z

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

Nashville, TN
remote
Permanent / Full Time
120000 - 130000 USD / Yearly
We are looking for a Data Engineer to create and enhance scalable data solutions that strengthen business intelligence capabilities across the organization. This role partners with technology leaders, software teams, delivery stakeholders, and external partners to turn business needs into reliable technical outcomes. The position is well suited to someone who thrives in an agile setting, works confidently with minimal supervision, and collaborates effectively across teams. This opportunity is based in Nashville, Tennessee. Responsibilities: • Build and refine scalable data pipelines and platform components that support reporting, analytics, and enterprise intelligence initiatives. • Assess modern cloud and big data technologies, gain working knowledge of new tools quickly, and recommend practical options based on business needs. • Translate technical and business requirements into clearly defined tasks, implementation plans, and measurable deliverables. • Write maintainable, efficient, and high-quality code that supports stable and dependable data solutions. • Review existing processes and code for gaps or performance issues, then propose and implement improvements. • Adjust priorities effectively in response to evolving project demands, timelines, and stakeholder expectations. • Take ownership of delivered solutions by documenting design decisions and explaining functionality to team members and partners. • Contribute to additional data engineering efforts that advance organizational goals and strengthen outcomes for end users.
2026-10-01T00:00:00Z

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

Data Engineer

Houston, TX
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment. Responsibilities: • Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment. • Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting. • Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate. • Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms. • Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions. • Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership. • Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality. • Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
2026-10-05T00:00:00Z

Data Engineer

Dallas, TX
onsite
Temporary to Hire
47.5 - 52 USD / Hourly
We are looking for a Data Engineer to join a growing team and contribute to the delivery of reliable, analytics-ready data solutions. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable data pipelines, improving data models, and partnering with technical and business stakeholders to support reporting, self-service analytics, and data science. The role offers the chance to work hands-on with Databricks, Python, PySpark, SQL, and modern data engineering practices in a collaborative environment focused on quality and performance. Responsibilities: • Build, maintain, and enhance data pipelines that support dependable data availability for analytics and reporting needs. • Collaborate with data engineering leaders to troubleshoot defects, resolve pipeline issues, and improve overall platform stability. • Develop transformation logic using Python, PySpark, SQL, and Databricks to prepare clean, usable datasets for downstream consumers. • Design and refine data models that improve usability, consistency, and performance across reporting and analytical workloads. • Apply layered data architecture principles, including Bronze, Silver, and Gold structures, to organize and manage data effectively. • Establish and follow engineering standards for validation, testing, monitoring, and documentation to strengthen data quality and maintainability. • Optimize processing and query performance to support efficient data delivery at scale. • Work with business and technical partners to translate data needs into practical engineering solutions that support trusted insights.
2026-10-02T00:00:00Z

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.
2026-10-13T00:00:00Z

Data Engineer

Oskaloosa, IA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Position: Data Engineer Location: Oskaloosa, IA / Des Moines, IA -- Onsite Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Engineer Shape the Future of Enterprise Analytics, AI & Data Innovation Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution? A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes. What You'll Do • Design and develop scalable data models, semantic layers, and enterprise data solutions • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives • Develop and optimize cloud-based data pipelines and integrations • Improve data governance, lineage, metadata management, and observability practices • Create automated data quality and validation frameworks • Implement CI/CD processes and modern DataOps best practices • Optimize SQL performance across warehouses, lakehouses, and reporting environments • Partner with analysts and business stakeholders to transform complex problems into actionable solutions • Contribute to technical standards, mentoring, documentation, and architectural best practices What We're Looking For Core Qualifications • Strong experience with data modeling and semantic modeling • Hands-on experience with Microsoft Fabric, Azure, and Power BI • Advanced SQL development and performance optimization skills • Experience with Git, CI/CD, and modern data engineering practices • Ability to translate business requirements into scalable technical solutions • Experience developing enterprise data pipelines and analytics platforms • A plus if you have data governance, data warehouse, data lake and or DBT experience. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-13T00:00:00Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining the data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please. Responsibilities: • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.• Ensure data quality, governance, and integrity by implementing and enforcing best practices.
2026-10-14T00:00:00Z

Data Engineer

Norman, OK
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Platform Engineer to join a 4-month contract opportunity based in Norman, Oklahoma. This role owns the storage, retention and pipeline-correctness workstream. This is data engineering, not cloud infrastructure. What they will actually do▪ Own the storage and pipeline backlog across the ingestion and processing repositories▪ Event ordering and bitemporal modelling: separating event time from ingestion time, deterministic replay▪ Atomic snapshot publication with schema admission and rollback▪ Design the historical layer on object storage so it can be queried economically and answer as-of questions correctly — file format, partitioning, compaction, and whether the canonical layer moves onto a managed table format▪ Reconcile the operational database and the historical store so a point-in-time question returns one answer rather than two▪ Evidence immutability and retention: object-lock semantics, preventing overwrite of stored evidence, validated recovery paths▪ Pipeline durability: idempotent runs, completeness receipts, restore testing▪ Support production cutover in month 4 — this seat does not roll off early
2026-10-02T00:00:00Z

Business Intelligence (BI) Analyst

Honolulu, HI
onsite
Permanent / Full Time
80000 - 90000 USD / Yearly
We are looking for a Business Intelligence (BI) Analyst to support technology operations and data-driven improvement initiatives in Honolulu, Hawaii. This position works closely with a collaborative IT team to strengthen daily system performance, assist end users, and contribute to long-term infrastructure and reporting enhancements. The ideal candidate is comfortable balancing hands-on technical support with analytical problem-solving and is motivated by opportunities to improve reliability, security, and operational efficiency. Preference will be given to Hawaii residents due to the onsite nature of this role. To apply, please call Melissa Tree at 808.452.0254. Responsibilities:• Provide day-to-day technical assistance for employees by troubleshooting hardware, software, and access-related issues across desktops, thin clients, and mobile devices.• Support the upkeep and configuration of core network and server environments, including switching, firewall administration, wireless connectivity, VPN access, and IP-based infrastructure components.• Administer user identities and permissions within Active Directory and Microsoft 365 environments, ensuring appropriate access, account maintenance, and policy alignment.• Assist with the management of virtualization and backup platforms to help maintain business continuity, system availability, and data protection standards.• Prepare, deploy, refresh, and document end-user devices while overseeing equipment assignments, warranty details, and lifecycle tracking.• Partner with internal teams and external vendors to resolve issues involving business-critical applications, including construction and design software platforms.• Contribute to physical infrastructure maintenance by helping with server room organization, equipment installation, cable management, and retirement of outdated technology assets.• Identify and recommend practical improvements to documentation, security controls, hardware standards, and overall system performance as part of ongoing modernization efforts.
2026-10-13T00:00:00Z

Data Scientist II

San Ramon, CA
remote
Permanent / Full Time
119000 - 180000 USD / Yearly
Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale. You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment. Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.
2026-09-28T00:00:00Z

Microsoft Fabric Data & Analytics Program Lead

Middletown, PA
onsite
Temporary to Hire
85.5 - 99 USD / Hourly
We are looking for a Microsoft Fabric Data & Analytics Program Lead to guide the development of a modern enterprise analytics environment for a financial services organization in Middletown, Pennsylvania. This contract opportunity with permanent potential will lead the rollout of Microsoft Fabric as a trusted reporting and analytics platform while delivering a high-impact initial use case that demonstrates measurable business value. The role combines program leadership, platform architecture, and cross-functional collaboration to create scalable data solutions, strengthen governance, and expand internal capability across business and technology teams. Responsibilities: • Shape the overall strategy for Microsoft Fabric, including platform governance, delivery planning, adoption methods, and long-term operating practices. • Partner with leaders across finance, treasury, risk, compliance, operations, product, and technology to identify priority analytics initiatives and organize them into a value-driven roadmap. • Architect and oversee solutions across Fabric capabilities such as OneLake, lakehouses, warehouses, data pipelines, notebooks, semantic models, Power BI, real-time analytics, and AI-enabled experiences. • Direct the integration of data from Azure-based services, SharePoint, Salesforce, operational platforms, application telemetry, and approved identity or access-related sources. • Establish enterprise standards for workspace design, naming conventions, deployment processes, monitoring, lineage tracking, lifecycle administration, backup planning, and disaster recovery readiness. • Work closely with security, legal, IT, risk, and business data owners to enforce appropriate access controls, privacy safeguards, retention requirements, audit support, segregation of duties, and regulatory alignment. • Define data management practices covering ownership, stewardship, quality controls, reconciliation methods, master and reference data usage, and certification criteria for trusted reporting assets. • Lead delivery of the initial Fed Account Management analytics use case, including ingestion, transformation, reporting, dashboard development, analysis, forecasting, alerting, and future machine learning opportunities. • Manage platform performance, licensing, capacity, cost, and usage trends while recommending improvements that optimize efficiency and support sustainable growth. • Produce program documentation and communications such as milestone plans, risk logs, executive updates, training content, runbooks, data dictionaries, and knowledge transfer materials, while reporting on adoption, reliability, quality, and business value metrics.
2026-10-09T00:00:00Z

.Net/SQL Healthcare Data Analyst

Sarasota, FL
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for a skilled .Net/SQL Healthcare Data Analyst to join our team in Sarasota, Florida. This role is ideal for someone with a strong background in healthcare analytics and technical expertise in Python scripting, SQL Server, and reporting tools. The successful candidate will play a key role in analyzing data, gathering requirements, and supporting various IT functions. Responsibilities: • Analyze healthcare data to identify trends, insights, and actionable solutions. • Develop and maintain SQL Server databases and ensure their optimal performance. • Create and manage reports using SQL Server Reporting Services (SSRS). • Collaborate with stakeholders to gather and document technical and business requirements. • Write Python scripts to automate data processing and reporting tasks. • Provide IT support across multiple functions, ensuring seamless operations. • Work with HL7 standards to process and integrate healthcare data effectively. • Conduct quality assurance checks to ensure data accuracy and reliability. • Support cross-functional teams with data-driven insights and technical expertise.
2026-10-02T00:00:00Z

Business Insights Analyst

Mcallen, TX
onsite
Permanent / Full Time
85000 - 95000 USD / Yearly
We are looking for a Business Insights Analyst to join our Financial Services team in McAllen, Texas. In this role, you will connect banking operations with data-driven decision-making by turning complex business questions into practical analysis, reporting, and performance insights. You will work closely with partners across the bank to uncover trends, measure results, and recommend actions that strengthen growth, efficiency, profitability, and risk awareness. Responsibilities: • Partner with stakeholders across lending, deposits, branch operations, treasury management, finance, marketing, risk, and related functions to define analytical needs and translate them into actionable deliverables. • Apply banking knowledge to interpret customer relationships, product usage, portfolio activity, balances, pricing, fees, and transaction behavior in support of strategic and operational decisions. • Develop and maintain dashboards, reports, performance metrics, and analytical models that provide timely visibility into key business outcomes. • Convert business questions into clear rules, calculations, definitions, and expected results for data analysts, engineers, and other technical collaborators. • Evaluate data to identify trends, anomalies, emerging risks, and growth opportunities, then explain the business impact in straightforward language. • Recommend actions that improve customer retention, relationship expansion, pricing strategy, profitability, operating efficiency, and risk management. • Validate assumptions, data definitions, and analytical findings with business and technical teams before insights are used to guide decisions. • Identify data quality concerns, document limitations and methodologies, and work with appropriate partners to improve the reliability and usability of information. • Support the design and use of data pipelines and reporting solutions by providing banking context to IT and data engineering teams. • Maintain compliance with applicable banking regulations, internal controls, audit expectations, and procedures, including awareness of suspicious or unusual activity reporting requirements.
2026-10-02T00:00:00Z

Snowflake Data Engineer

Radnor, PA
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives. Responsibilities: • Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases. • Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable. • Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption. • Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite. • Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate. • Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes. • Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability. • Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers. • Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions. • Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
2026-09-23T00:00:00Z

Data Architect (GCP)

Appleton, WI
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
Robert Half is seeking a Data Architect for our partner in the Appleton area to help accelerate the development of their modern data platform. This is an opportunity to join a growing data organization that is transitioning to a cloud-based architecture centered around Google Cloud Platform and BigQuery. The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data Scientists to establish the technical vision, architecture, and standards for the organization’s modern data environment. This person will provide hands-on technical leadership to the engineering team while helping move the platform from its current development stage into a scalable, production-ready environment. What You’ll Do<ul><li>Define and implement the architecture for a modern cloud data lakehouse using GCP, BigQuery, and related technologies.</li><li>Partner closely with Data Engineers to translate architectural strategy into scalable, production-ready solutions.</li><li>Establish standards and best practices for data ingestion, transformation, storage, orchestration, security, governance, and performance.</li><li>Help accelerate the development and deployment of the organization’s GCP data platform.</li><li>Evaluate existing architecture and recommend improvements to increase scalability, reliability, performance, and development velocity.</li><li>Provide technical leadership, mentorship, and architectural guidance to a team of Data Engineers.</li><li>Work with Data Analysts and Data Scientists to ensure the data platform effectively supports analytics, reporting, machine learning, and AI initiatives.</li><li>Collaborate with Project Managers, Business Analysts, and business stakeholders to translate requirements into effective technical solutions.</li><li>Stay current with emerging data and AI technologies and identify opportunities to incorporate AI into engineering processes and business solutions.</li><li>Remain hands-on with technology, including troubleshooting complex technical challenges and demonstrating solutions for the engineering team.</li></ul>
2026-10-01T00:00:00Z

Senior Data Engineer (Databricks)

Morristown, NJ
remote
Permanent / Full Time
120000 - 145000 USD / Yearly
A leading infrastructure and transportation group is seeking a hands-on Senior Data Engineer to architect and build our next-generation Enterprise Reporting & Data Warehouse (ERDW.Next) on Databricks. Acting as the hands-on technical owner, you will drive target-state design, medallion architecture (Delta Lake), and legacy migrations off SQL Server/Synapse while remaining actively in the codebase. You will partner with our Enterprise Architect, Power BI team, business users, and offshore delivery partners across finance, construction, and safety domains. experience in CANDIDATES SHOULD HAVE EXPERIENCE WITH: Serving as a Databricks SME ERP integrations (strong plus) Python / PySpark Performance tuning and optimization Databricks maintenance, including VACUUM Data governance and best practices Semantic modeling RESPONSIBILITIES Architecture & Strategy: Design the ERDW.Next lakehouse (medallion/gold layer star schema) and govern data modeling, batch/streaming, and Delta Live Tables standards. Build & Migration: Write production-grade PySpark, Spark SQL, and Delta Live Tables pipelines orchestrated via Databricks Workflows. Re-engineer legacy SSIS/T-SQL/Synapse logic and ingest ERP data (JD Edwards, Anaplan) using CDC and Auto Loader. Platform Operations: Optimize cost/performance using Photon, Liquid Clustering, and OPTIMIZE. Manage CI/CD pipelines via Git and Databricks Asset Bundles while maintaining strict SLAs. Governance & AI: Implement Unity Catalog governance (entitlements, lineage, audit) and curate Databricks Genie Agents for natural-language analytics. Partner & Legacy Management: Support legacy platforms during transition and maintain code quality standards across offshore partner teams. Leverage agentic AI coding tools safely to accelerate delivery.
2026-10-13T00:00:00Z

Director of Software Development and Analytics

Minnetonka, MN
remote
Permanent / Full Time
150000 - 160000 USD / Yearly
We are looking for an experienced technology leader to guide software engineering and analytics initiatives for a healthcare organization in Minnetonka, Minnesota. This role will lead a multidisciplinary team of developers and data professionals, shaping scalable digital solutions that support operational and business goals. The ideal candidate brings a strong mix of hands-on technical knowledge, people leadership, and the ability to align technology investments with measurable outcomes. Responsibilities: • Lead and develop a team of software developers and data analysts, fostering accountability, collaboration, and strong performance. • Set the direction for application development, analytics, reporting, integrations, and automation efforts across the organization. • Build and manage a technology roadmap that balances business priorities, risk, resource planning, and long-term value. • Partner with stakeholders across operational, clinical, administrative, and support functions to turn business needs into practical technical solutions. • Oversee delivery practices for modern software development, including Agile execution, release planning, quality standards, and operational support. • Drive the design and improvement of dashboards, reporting tools, and data solutions that enhance decision-making and accessibility. • Guide the use of cloud platforms, APIs, and enterprise architecture approaches to support scalable and reliable systems. • Communicate progress, priorities, investment needs, and outcomes clearly to senior leadership and other key partners.
2026-10-11T00:00:00Z

Business Intelligence (BI) Engineer

Los Angeles, CA
onsite
Permanent / Full Time
150000 - 180000 USD / Yearly
We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams. Responsibilities: • Design and maintain semantic models that support reporting needs across operational and executive audiences. • Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance. • Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs. • Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers. • Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment. • Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery. • Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust. • Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
2026-10-07T00:00:00Z

Digital Marketing Analyst

Newark, DE
remote
Temporary / Contract
36.1 - 41.8 USD / Hourly
We are looking for a Digital Marketing Analyst to support data-driven marketing decisions for a global organization based in Newark, Delaware. This Long-term Contract position will focus on turning digital performance data into practical insights that strengthen campaign outcomes, improve audience engagement, and guide smarter budget allocation. The role works closely with marketing, digital, agency, and technical partners, with primary support directed toward the Americas while also contributing to broader international initiatives. Success in this position will come from building consistent measurement practices, uncovering meaningful trends, and helping teams act on performance findings with confidence. Responsibilities: • Examine results across campaigns, website activity, audience engagement, and marketing channels to uncover patterns, gaps, and areas for improvement. • Create quarterly business reviews and performance summaries that clearly connect marketing efforts to business objectives and measurable outcomes. • Monitor core success metrics and comparative benchmarks across regions, channels, content, and campaigns to evaluate effectiveness over time. • Turn complex datasets into practical recommendations that enhance campaign execution, strengthen user experience, and improve content and media investment decisions. • Detect weak-performing initiatives early and advise on adjustments that can improve efficiency and limit unnecessary spending. • Design, refine, and maintain dashboards and recurring reports that expand visibility into performance while reducing manual reporting work. • Work with cross-functional stakeholders in marketing, digital, regional, and business teams to align reporting standards and measurement methods. • Help scale the organization’s campaign measurement approach by encouraging consistency, documenting insights, and supporting adoption across teams and geographies.
2026-10-14T00:00:00Z

Data Engineer - Python/Snowflake

Houston, TX
onsite
Permanent / Full Time
110000 - 160000 USD / Yearly
Join a growing data engineering team supporting mission-critical analytics and business operations within the energy, commodities trading, oil & gas, or financial services sector. This role is focused on designing and supporting cloud-based data solutions using Python, Snowflake, and AWS, enabling scalable, reliable, and high-performance data platforms.You will work closely with business stakeholders, analysts, and engineering teams to build production-grade data pipelines, modernize legacy data environments, and deliver trusted datasets that support operational and strategic decision-making. Responsibilities<ul><li>Design, develop, and maintain scalable Python-based data pipelines that ingest, transform, and deliver data from internal and external sources.</li><li>Build and optimize data models within Snowflake, ensuring performance, scalability, and cost efficiency.</li><li>Develop ELT/ETL solutions leveraging cloud-native AWS services.</li><li>Create, monitor, and support batch and near real-time data integration workflows.</li><li>Work with structured, semi-structured, and time-series datasets from operational, trading, financial, and market data systems.</li><li>Modernize legacy data processes and migrate legacy database workloads into modern cloud architectures.</li><li>Implement data quality, reconciliation, monitoring, and alerting capabilities across the data platform.</li><li>Collaborate with analysts, traders, business users, and technology teams to deliver data solutions aligned with business objectives.</li><li>Participate in code reviews, testing, documentation, and deployment activities following engineering best practices.</li><li>Support production environments and troubleshoot data pipeline issues as needed.</li></ul>
2026-10-05T00:00:00Z

Data Engineer - Lead

Houston, TX
onsite
Permanent / Full Time
175000 - 225000 USD / Yearly
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-10-05T00:00:00Z

2 4

123 results for Big Data Analytics jobs