Data Engineer, Senior

Requirements

• 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

Education/Certification Requirements

• Bachelor’s degree

Clearance Requirements

• Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; an active Top Secret clearance required

-------------- About UsNorthern Virginia-based Precision Solutions is an expert in staffing solutions for companies of any size that open the door to new opportunities and seek outstanding talent. We pride ourselves on being versatile enough to tailor our relationships to the needs of each individual client, being agile in the fast-paced marketplace, and being precise in meeting the needs of any company.

• 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