Top Data & Analytics Jobs

Support extraction, querying, and analysis of DMLSS/LogiCole logistics and supply chain data. Build data models, automate ETL with Excel/Power Query, reconcile financial/logistics data for AFWCF audit, respond to auditors, merge/clean disparate DoD datasets, and design scalable dashboards and reports for leadership.

Support extraction, querying, and analysis of Defense medical logistics data (DMLSS/LogiCole). Build data models, automated ETL in Excel/Power Query, reconcile financial/logistics data for AFWCF audit, respond to auditors, merge/clean legacy DoD datasets, and design scalable dashboards and reports for leadership.

Build and maintain Power BI/Qlik dashboards and integrated CRM/ERP data models, monitor CRM data quality, analyze pipeline/forecast/revenue/margin, and deliver KPI-driven insights, documentation, training, and ad hoc analysis to Sales and RevOps leadership.

Lead and scale the data engineering function for P&C insurance domains. Own enterprise data architecture, ETL/ELT pipelines, Snowflake-based warehousing, data governance, data quality, and cross-functional delivery while managing and mentoring teams to align data initiatives with business strategy and compliance.

Design, build, test, and maintain scalable cloud-based data platforms and ETL/ELT pipelines (batch and near-real-time). Implement data models, data marts, governance, metadata, CI/CD and IaC, optimize pipeline performance, support migrations/DR, produce documentation, and collaborate with architects, DBAs, and stakeholders to meet federal security and audit requirements.

Lead design, build, test, and maintain scalable cloud data platforms and pipelines (ETL/ELT, batch and streaming). Ensure data quality, governance, security, CI/CD deployment, performance tuning, migration/archival, and mentor data engineering teams to support analytics and AI/ML use cases for a federal modernization program.

Lead cloud data architecture and modeling for a federal court modernization program. Design and implement secure, scalable cloud data platforms (lake/lakehouse/warehouse), define data models, govern metadata and lineage, enable ETL/ELT and CDC ingestion, support migration and archival strategies, ensure compliance with federal security and data governance, and partner with engineering, governance, and BI teams to deliver analytics and AI/ML-ready data products.

Implement and support Netsmart EHR integrations and CareFabric architecture. Troubleshoot configuration issues, deliver interfaces and data solutions across care modules, establish connectivity and data mapping with third-party systems, and provide consultative client support.

Design, build, and manage a scalable enterprise music data platform and pipelines. Collaborate with product and business teams, maintain data governance, perform data modeling, monitoring, testing, and troubleshooting, and mentor teammates. Ensure compliance with standards and support analytics, reporting, and integrations across multiple sources and targets.

The Data Engineer will build and maintain scalable data pipelines, improve ETL processes, collaborate with AI/ML teams, and contribute to engineering culture.

Lead analytics and BI for Digital Product Operations: define product and adoption metrics, build dashboards, ensure data governance and quality, measure ProdOps effectiveness, coach PM/POs, diagnose adoption gaps, and drive interventions that improve product planning and delivery.

The Data Engineer at Anteriad will design, build, and optimize data pipelines, manage data integration processes, support analytics efforts, and collaborate with stakeholders to deliver scalable data solutions.

Manage a team responsible for data ingestion, extraction, mapping, enrichment, QA/QC, and automation. Build and maintain Alteryx/Power Automate/Python workflows, manage APIs and feeds, track KPIs/SLAs, recruit and cross-train staff, and drive process improvements across public, private, and operational asset classes while partnering with cross-functional teams.

Lead and grow a data engineering team; define architecture and standards for ETL/ELT pipelines; hands-on design, code review, and development; ensure production reliability, monitoring, and incident response; partner with product and engineering on data roadmap.