- US Citizenship and active Top Secret clearance required
- Bachelor’s degree and 8 years of experience designing, developing, operationalizing, and maintaining data systems, or 12 years of experience designing, developing, operationalizing, and maintaining data systems in lieu of degree
- Experience performing tuning on data lake architecture to optimize cloud storage and pipeline performance
- Experience with data management solutions that address aspects of data catalog, data usage, governance policies, and lifecycle management
- Experience designing data warehouse or data lake, RESTful API models, event processing, or business intelligence for software systems
- Experience building scalable ETL or ELT data pipelines, automating large-scale batch and streaming data workflows, and parsing structured, unstructured, or event-streaming data
- Experience with coding in software programming languages, including SQL, Python, Scala, Spark, or Java
Preferred Qualifications:
- SCI eligibility
- 3 years of experience using and developing data systems with AWS and Microsoft Azure cloud data products such as AWS EMR, AWS Glue, Azure Dataverse, Azure Data Factory, and Power Apps
- Experience with distributed data or computing tools, including Apache Spark, Apache NiFi, AirFlow, Databricks, Snowflake, Redshift, or BigQuery
- Experience creating and improving continuous automation across multiple technical stacks, and automating CD/CD pipelines with tools such as Jenkins or GitHub