Mid-Level Python Data Engineer [$320k/yr+] TS/SCI-FS Poly Jobs

Job TitleMatch InsightsJob RequirementsHerndon, VA Top Secret/SCI Full Scope Polygraph Mid Level Career (5+ yrs experience) Salary not specified Join Premium to unlock estimated salariesJob DescriptionCandidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Build complex data flows, production data pipelines, and ETL workflows. • Develop with Python, Java, SQL, and Bash scripting. • Utilize orchestration tools for Apache Spark jobs, containerize applications with Docker in AWS environments. • Manage MySQL, PostgreSQL, and DynamoDB databases. • Implement code control with Git and Infrastructure as Code with Terraform. • Integrate AI/ML services and work with Apache Iceberg and Trino. • Understand data requirements and contribute to documentation. Qualifications & Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 8+ years • Total Compensation: $320k+ yearly (tentative) Job Description: • Work with a small team to build complex data flows for custom applications. • Build end-to-end data pipelines leveraging advanced Python programming skills. • Utilize orchestration tools to deploy and manage data pipelines, including configuring and updating Spark Jobs. • Containerize and deploy applications in cloud environments like AWS. • Manage and optimize databases such as MySQL and PostgreSQL, including performance tuning, schema design, and query optimization for complex, analytical workloads. • Leverage industry standard tools for code control (Git, IaaC control) and Infrastructure as Code (Terraform). • Work with data catalogs, track data lineage, and handle various data formats, including Geospatial. • Employ Bash scripting for automation and data processing tasks. • Integrate AI/ML services and models. • Collaborate with stakeholders to understand data requirements, assess feasibility, and design solutions with minimal oversight. • Apply strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks. • Contribute to data engineering documentation, best practices, and design patterns. • Familiarity with Java, DynamoDB, Apache Iceberg, and Trino is beneficial.