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# ETL Engineer - TS/SCI with Polygraph Required

- **Company:** Core Interface Corporation
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon S3, Big Data, Databases, Data Architecture, Information Engineering, Extract Transform Load (ETL), Linux, Distributed Computing Environment, Apache Hadoop, MapReduce, Apache HBase, Python (Programming Language), Regular Expressions, Cloud Services, SQL Databases, Azure Data Factory, Snowflake, Apache Spark, Data Layers, Containerization, Kubernetes, Information Technology, AWS Glue, Restful APIs, Azure Synapse Analytics, Data Pipelines, Docker, Elk Stack, Databricks
- **Published:** August 14, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9090910/etl-engineer-tssci-with-polygraph-required

## About the Role

* Active TS/SCI with Polygraph
 * U.S. Citizenship
 * Bachelor's degree in Computer Science, Engineering, or related technical field
 * Strong Python and/or Java development skills with significant SQL and database experience
 * Hands-on experience building ETL pipelines in a Linux-based Big Data environment
 * Experience parsing using Regular Expressions
 * Experience with interacting with the ELK Stack
 * Familiarity with RESTful API integration and data source consumption
 * Clear communication skills in collaborative engineering environments

Additional Strengths That Stand Out

 * Experience with cloud data platforms (AWS Glue/S3, Azure Data Factory/Synapse, Snowflake, Databricks)
 * Experience with Apache Spark or similar distributed processing frameworks
 * Experience with pipeline orchestration tools such as Apache Airflow or equivalent
 * Experience with Hadoop, HBase, and MapReduce
 * Prior work in a mission environment or with diverse, complex data types
 * Containerization experience with Docker and/or Kubernetes
 * Prior experience supporting AI/ML pipeline development or deployment

## Description

At Core Interface, we believe great software is built by small teams of thoughtful engineers working on meaningful problems.
Our work supports mission-critical federal programs where the quality and reliability of the data layer directly determines mission outcomes.
We're growing our data engineering team and are looking for ETL-focused engineers across multiple experience levels who take real ownership of the data lifecycle - from ingest through delivery - and communicate clearly about architecture tradeoffs.
What You'll Do in This Role

 * Design, build, and optimize ETL pipelines for large-scale data ingestion and transformation
 * Develop custom solutions to ingest, profile, and exploit new and existing data sources
 * Collaborate with data scientists and analysts to support model development and analytical workflows
 * Maintain comprehensive data layer documentation for the broader engineering team
 * Manage all stages of the data lifecycle from ingest planning through display
 * Collaborate with teammates, service providers, vendors, and mission users to develop more efficient methods
 * Identify and communicate risks, constraints, and tradeoffs in data architecture decisions


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