Data Engineer

• 5+ years of experience designing data warehouse or data lake, RESTful API models, event processing, or business intelligence for software systems
• 5+ years of experience building scalable ETL or ELT data pipelines, automating large-scale batch and streaming data workflows, and parsing structured, unstructured, or event-streaming data
• 5+ years of experience with coding in software programming languages, including SQL, Python, Scala, Spark, or Java
• 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
• Top Secret clearance
• 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 a degree

Nice to Have Skills

• 3+ years of experience architecting and designing large-scale enterprise data and analytics systems
• 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 with federal information system policies, including NIST 800.53 and FISMA, data security, access controls, and data protection techniques
• Experience creating and improving continuous automation across multiple technical stacks, and automating CD/CD pipelines with tools such as Jenkins or GitHub
• Experience with NoSQL database such as Elasticsearch, Solr, MongoDB, or Cosmo DB
• Experience with AI or ML pipelines and processes
• TS/SCI clearance with a polygraph
• Master’s degree