> Markdown version of [/jobs/ext/3442219-data-engineer-ts-sci](https://www.wearedevelopers.com/jobs/ext/3442219-data-engineer-ts-sci). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (TS/SCI) - **Company:** Inc. (dci) - **Location:** Washington, DC, United States - **Salary:** $160,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Computer Programming, Information Engineering, Data Transformation, Software Debugging, Python (Programming Language), SQL Databases, Apache Spark, Pandas, Pyspark, Information Technology, Data Pipelines - **Published:** September 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ec212e4a542752c5 ## About the Role · BS in Computer Science / Engineering (or related career field) preferred · Strong Data Engineering background · Experience with Spark, Pyspark, and/or Pandas · Extensive experience coding/programming in: * Python * SQL, R or Similar · Strong understanding of algorithms and data structures as they pertain to development · Experience with Foundry is preferred Required: Active TS/SCI Security Clearance, * data engineering: 5 years (Preferred) * Python coding/programming: 5 years (Preferred) * building and managing data pipelines: 5 years (Preferred) * data transformation: 5 years (Preferred) * Foundry : 1 year (Preferred) * Spark and/or Pyspark: 3 years (Preferred) * Pandas: 3 years (Preferred) Security clearance: * Top Secret (Required) ## Description * Serve as a Data Engineer on a cross-functional team to help solve pressing problems * Integrate data, transform insights, and build applications for operational decisions * Setup transfers of data feeds from source systems into location * Write transformations and derive new datasets using Spark for distributed computation * Monitor build progress and debug build problems * Design applications that address operational questions * Execute requests for information (RFI's) surrounding the platform's data footprint * Work with product teams while debugging/understanding the code backing our platform