Senior Data Engineer — On-Site (Secret Clearance Preferred)

LaunchCode; St. Louis (MO); On-site; USD 85,000 - 130,000; Full time

Job summary

LaunchCode through a partner organization is seeking a highly skilled Data Engineer to design, develop, and maintain scalable data infrastructure supporting enterprise analytics for defense-related projects. The role focuses on end-to-end data pipelines, data quality, and integration of large datasets to enable BI and decision-making.

The ideal candidate will have strong SQL, Python, Databricks, Spark, and ETL experience, with a background in federal data environments and BI tool exposure.

Qualifications

• U.S. citizenship and an active Secret clearance required.
• Strong SQL skills with ability to write and troubleshoot complex queries.
• Experience with ETL processes and data ingestion workflows.
• Experience integrating data from multiple sources and big datasets.
• Hands-on programming with Python.
• Experience with Spark/Scala/JSON and SQL.
• Experience developing BI reports, dashboards, and analytics.

Responsibilities

• Design, develop, and maintain end-to-end data pipelines using ETL processes.
• Build scalable pipelines with Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
• Create and optimize data pipelines to support analytics and reporting.
• Perform data cleansing, transformation, integration, and quality assurance on large datasets.
• Process large datasets in DoD environments and supporting BI solutions.
• Collaborate with stakeholders to understand data requirements and design data models.
• Provide data for reporting, analytics, and decision-making.
• Maintain documentation for pipelines and workflows.
• Evaluate new data engineering technologies and promote best practices.

Job description

LaunchCode through a partner organization is seeking a highly skilled Data Engineer to design, develop, and maintain scalable data infrastructure supporting enterprise analytics for defense-related projects. The role focuses on end-to-end data pipelines, data quality, and integration of large datasets to enable BI and decision-making.

The ideal candidate will have strong SQL, Python, Databricks, Spark, and ETL experience, with a background in federal data environments and BI tool exposure.