Top Data & Analytics Jobs

Build and maintain ingestion pipelines for heterogeneous healthcare data (TPA feeds, claims, eligibility, enrollment). Design dbt models and orchestration (Dagster/Airflow), implement data quality monitoring and observability, and partner with data science to produce and maintain feature pipelines and feedback loops.

Design, build, and maintain batch and streaming data pipelines; ingest, transform, and optimize data for analytics and BI; ensure data quality, reliability, and performance; implement monitoring/alerting; support MLOps and analytics workloads; collaborate with data scientists and BI teams; document AI systems and RAG/Cortex-based solutions.

Lead design and build of Snowflake-native medallion data architecture, ETL/ELT pipelines, master data and governance, and an enterprise semantic layer. Partner with Finance to produce reliable financial data products, optimize performance/cost, enforce data quality and compliance, mentor junior engineers, and support AI use cases and observability.

Lead technical direction and teams for customer and performance analytics suites, owning architecture, roadmaps, vendor delivery, enterprise reporting (Power BI), predictive models, data governance, and cross‑team integrations to deliver scalable, secure, decision‑ready analytics and optimization capabilities.

Own and scale streaming Kafka pipelines and large-scale Spark batch jobs processing billions of rows. Drive pipeline reliability, observability, data modeling, and cost/latency optimizations. Partner with data scientists and platform engineers, define SLOs, improve efficiency, contribute to shared infrastructure (Airflow, libraries, data catalog), and mentor junior engineers.

The Data and Analytics Consultant will design, develop, and implement data reporting, visualizations, and analytics solutions for clients while assisting them in data understanding and value extraction.

Lead data architecture, reporting platform, and product catalog for the Xtime portfolio. Define data strategy, standards, reference architectures, and governance. Translate business requirements into data models, integrations, ETL, and reporting solutions. Design cloud architectures, evaluate technologies, create proofs of concept, and collaborate with product, engineering, and stakeholders to deliver scalable, secure reporting and catalog capabilities.

Build and maintain ETL pipelines with Alteryx Server, support data warehouse integration and migrations, perform data cleansing/transformation, optimize SQL/Python pipelines, and produce Power BI reports as needed while collaborating with stakeholders.

Lead hands-on data engineering and architecture for a classified on-prem Analytics Core: build ETL/ELT pipelines, clean and model 30 years of multi-modal and geospatial data, integrate ESRI spatial data, establish AI/ML feature standards, enforce DoD-aligned governance, and mentor transitioning staff to operationalize the solution.

The Director of Customer Data Engineering will manage customer data strategies, ensuring compliance and privacy while leading data integration and governance initiatives. They will drive data quality and enhance business intelligence investments, collaborating across global teams and building a strong technical team.