Top Senior Data & Analytics Jobs in Huntsville, AL

Design, build, and maintain scalable data pipelines, warehouses/lakes, and platforms. Lead multidisciplinary teams to implement ETL/ELT (batch and streaming), optimize data lake performance, enforce data governance, and support analytics and ML use cases on cloud and on-prem environments.

Analyze HR data to identify trends, opportunities, and actionable insights. Build Tableau or Power BI dashboards, develop workforce metrics, validate data, document governance processes, and communicate findings to technical and business stakeholders. The role supports data-driven HR strategies, process optimization, talent management, and organizational effectiveness while collaborating across HR and business teams.

Develop data analytics and visual analytic applications using structured and semi-structured data. Design enterprise databases, build relational database systems, integrate data systems, and optimize data pipelines and performance. The role uses Java, AWS, Spark, Scala, SQL, PostgreSQL, NiFi, Informatica, Linux, and ETL technologies to support actionable intelligence applications. An active Top Secret/SCI-eligible clearance is required, with potential CI polygraph eligibility.

Leads the architecture, development, operation, validation, and optimization of high-volume ETL and data migration pipelines. Transforms structured and unstructured data from legacy systems into cloud platforms, troubleshoots failures, performs data quality validation, conducts root cause analysis, and documents migration processes. Collaborates with cloud, DevSecOps, database, QA, and product teams while reporting pipeline performance, migration status, and data quality metrics.

Own end-to-end production data platforms, writing Python and SQL, designing AWS pipelines, modeling analytics data, and implementing quality and reconciliation controls. Make architecture decisions independently, ensure correctness and auditability, and use AI coding tools effectively. The role also supports applied AI initiatives including entity resolution, LLM-assisted analytics, embeddings, and anomaly scoring.

Performs geospatial workflows involving imagery preprocessing, vector digitization, LiDAR classification, DEM creation, hydrographic breakline extraction, data conflation, metadata, reporting, and geodatabase management. Develops and distributes high-quality aerial imagery, LiDAR, and other geospatial products while supporting geospatial standards and quality control. Collaborates with teams and works independently to solve geospatial problems and maintain data, services, and applications.

Design, develop, maintain, and optimize enterprise ETL pipelines supporting Army Human Resources Command data. Build data mappings and transformation logic, ensure data quality and security compliance, maintain database systems, manage scheduling and monitoring for reliable pipelines, provide lifecycle technical solutions, and create architecture and data-flow documentation using DataStage and SQL databases.

Design and maintain petabyte-scale data architectures and ETL pipelines; enable automated MLOps workflows; lead teams building ML systems and backend services; implement CI/CD and DevSecOps practices; integrate components, write maintainable Python code, and produce technical documentation while collaborating with cross-functional teams.

Support Feed and Logistics by creating data analysis tools, extracting KPIs from major systems, building QlikView dashboards and reports, performing statistical analysis, and liaising with business stakeholders to meet reporting needs.

Lead customer engagements to design, build, and optimize Databricks architectures for data engineering, analytics, and machine learning. Develop scalable ETL/ELT pipelines, integrate with cloud platforms, advise on governance/security, productionalize ML workflows, troubleshoot operational issues, and deliver consulting and managed services with documentation and best practices.