Basic Qualifications:

• 5+ years of Experience with Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter
• Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
• Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
• Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
• Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
• Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
• Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.

Clearance: TS desired, Secret or interim Secret accepted

CAC – Nice to Have

SIPR Token – Nice to Have

GFE – Nice to Have

Client will move fast with a candidate who has a CAC card or SIPR Token

Salary Range: $140k to $180k

Location: Crystal City, VA (Hybrid, 3 days / week)

We are constantly seeking Engineering talent. We are working with a few potential customers on defining their end-to-end data platform and leading Data Modernization efforts – hence always looking to bring onboard exceptional talent who have experience working in the cloud, with experience in building end-to-end ETL pipelines.