Top Data & Analytics Jobs

Design, build, and maintain large-scale data structures, ETL pipelines, and data models. Integrate data sources, ensure data quality, support analytics and Data Science, optimize big data processing, and recommend tooling and solutions.

Design, build, and maintain large-scale data pipelines, ETL workflows, and data models. Integrate analytics and ML models, optimize Hadoop/Hive systems, ensure data quality, and support cloud-based modernization for analytics and reporting.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts to support analytics and data science. Integrate models into automated workflows, optimize Hadoop and cloud-based systems, ensure data quality and accessibility, and recommend tooling and solutions to solve complex business problems.

Design, build, and manage large-scale data structures, pipelines, and ETL workflows. Develop data marts and models, integrate data from multiple sources, ensure data quality, and collaborate with Data Science to operationalize models for real-time and offline analytics.

Design, build, and manage large-scale data structures, pipelines, and ETL workflows. Develop databases and real-time/offline analytic processing, support data science integration, optimize queries, build data marts and models, ensure data quality and privacy, and recommend tooling and architecture solutions.

Design, build, and maintain large-scale data structures, pipelines, and ETL workflows; integrate data science models; optimize Hadoop/Databricks/Spark jobs; ensure data quality, accessibility, and healthcare data compliance; collaborate with cross-functional teams to support analytics and reporting.

Design, build and manage large-scale data structures, ETL pipelines, and data marts to support analytics and reporting. Collaborate with Data Science to integrate models, optimize Hadoop/HDFS queries, develop real-time and offline processing, ensure data quality, and recommend tools and solutions.

Design, build, and optimize scalable data pipelines and architectures using SQL and AWS big-data technologies. Assemble complex datasets, automate processes, enable analytics and stream processing, secure cross-region data, and support cross-functional stakeholders including data scientists and product teams.

Build and maintain Power BI dashboards and reports, partner with stakeholders to define KPIs, ensure data accuracy and governance, resolve reporting issues, work with Microsoft Fabric/Delta Lake, and lead small analytics efforts while mentoring others.

Design, build, and automate scalable batch and streaming data pipelines, implement data models and ETL, automate deployments, support ML/experimentation, maintain server architecture, and partner with stakeholders to deliver analytics and data-driven tools.

Lead and grow the data engineering team to evolve a cloud-native data platform: design pipelines, improve ETL/ELT and orchestration, ensure data quality and governance, enable BI and data products, manage infrastructure budget, and enforce security and operational best practices while partnering with product and business teams.

The Senior Data Engineer will design and implement data management systems, develop ETL processes, and maintain CI/CD pipelines for a government client.

Design and implement SQL transformations and datasets, manage data models in Databricks, optimize performance, and ensure compliance with data governance standards.

Senior Data Engineer responsible for designing and implementing data solutions, ensuring data quality, and optimizing data systems.

The job description is currently labeled as TBD and does not provide specific responsibilities or details.

The Data Ingestion Specialist will manage the ingestion of healthcare data, improve data models, debug issues, and collaborate with team members to maintain pipeline reliability and efficiency.

Senior hands-on data engineering leader responsible for designing and building scalable lakehouse data platforms and pipelines across Azure and Databricks. Drive architecture, engineering standards, governance (Unity Catalog, ABAC, lineage), lead complex builds, mentor teams, manage technical debt and migrations, and support cross-agency multi-client deployments and reporting.

Lead development of a long-term enterprise data quality strategy for cloud environments. Build data inventories, implement profiling scripts, anomaly detection, field validation rules, lineage checks, and completeness scoring. Develop governance policies, stewardship standards, and access controls while coordinating with platform engineers, cybersecurity, and mission teams to maintain metadata and catalog traceability.

Senior hands-on data engineering leader who architects and builds enterprise lakehouse solutions on Azure and Databricks. Designs and optimizes large-scale PySpark/Lakeflow pipelines, implements data governance (Unity Catalog, ABAC, lineage), sets engineering standards, mentors teams, leads hiring, and drives platform modernization.

This role involves leading data infrastructure modernization efforts, architecture reviews, and migration planning while providing technical mentorship and establishing operational standards.

Lead ETL and data architecture for AML, trade/sales surveillance, and compliance data repositories. Design and develop complex Informatica PowerCenter 9.1 mappings, enforce ETL architecture standards, tune performance, automate and maintain ETL utilities, collaborate with BAs and DBAs, provide production support, and mentor junior ETL developers.

Design and implement large-scale data processing solutions (GB/PB) using Hadoop, NoSQL, MPP and related open-source tech. Participate in architecture/design, provide implementation details to offshore teams, produce whitepapers/case studies, ensure timely quality deliveries, and share knowledge through training sessions.

Designs and implements large-scale data solutions using Java and open-source big data technologies (Hadoop, NoSQL, Solr, Storm, Kafka). Participates in architecture and design discussions, delivers implementations, collaborates with senior architects and offshore teams, authors technical papers, and shares knowledge across the organization while ensuring performance, scalability, and timely quality delivery.

Work on client onboarding/migration as a Data Analyst/Database Developer: gather business requirements, perform data analysis, mapping, profiling and query optimization. Coordinate with US/UK/India teams and vendors, ensure data quality via control scripts, identify source systems and eliminate redundancies. Assist BUAT, train new resources, and support extracts, views, and client reports. Financial services domain expertise required.

Design, implement, and maintain enterprise database solutions and Big Data (Hadoop) systems. Lead database architecture, HA/DR, migrations, patching, performance tuning, security, capacity planning, monitoring, and incident recovery. Provide technical leadership, SOP documentation, and support BI/data mining activities. Role requires shift work.