Momentum Engineering is seeking a Data Engineer to implement data governance of shared and/or master sets of data, interpret business needs, select appropriate technologies, and work with stakeholders to plan and deliver optimal data solutions.
Requirements
- Understanding of cloud architectures and enabling tools and technologies, such as, AWS Cloud (GovCloud/C2S)
- Familiar with Amazon Web Managed Services (AWS)
- Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar
- Proficient experience utilizing JavaScript, Elasticsearch, JSON, SQL, XML
- Working knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis
- Familiar with Linux/Unix server environments
- Experience with Agile development methodology
Responsibilities
- Develop and design data pipelines to support an end-to-end solution
- Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes)
- Integrate data pipelines with AWS cloud services to extract meaningful insights
- Manage production data within multiple datasets ensuring fault tolerance and redundancy
- Design and develop robust and functional dataflows to support raw data and expected data
- Provide Tier 3 technical support for deployed applications and dataflows
- Collaborate with the rest of data engineering team to design and launch new features
Other
- Must have active Top Secret/SCI clearance
- Bachelor’s degree or equivalent practical experience
- Partner with a government product owner and a product team of 7-8 FTEs
- Occasionally (as needed) support to off-hours deployment such as evening or weekends
- Familiarity and experience with the Intelligence Community (IC), and the intel cycle
