Serve as a Data Pipeline Engineer on a cross-functional team Ensure that our customers work with updated and accurate data in Foundry Be the first to respond to data health failures on key pipelines Read code to identify fixes and make changes to improve data pipelines Work alongside pipeline engineers from other customer accounts Create user-facing applications in support of mission needs Support data integration efforts Design UX and platform navigation improvements Provide feedback to the engineering team about product
Qualifications:
Strong data pipeline engineering background Comfortable reading and writing code in Python Java, C++, SQL is a plus Basic understanding of Spark Familiar/interested in learning the basics of tuning Spark jobs Experience performing root cause analysis and documentation of findings Experience with Foundry (highly preferred) Experience with Space operations (highly preferred)
Required:
Active Secret Security Clearance Job Type:
Full-time Salary:
$160,000-$200,000
Job Type:
Full-time Pay:
$160,000.00 - $200,000.00 per year
Benefits:
Relocation assistance
Experience:
Python coding/programming: 5 years (Preferred) building and managing data pipelines: 5 years (Preferred) data transformation: 5 years (Preferred)
Foundry :
1 year (Preferred) Spark and/or
Pyspark:
3 years (Preferred)
Pandas:
3 years (Preferred) data pipeline engineering: 5 years (Preferred) Security clearance: Secret (Required)