ETL Engineer - TS/SCI with Polygraph Required

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

• 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, * 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

• 100% employer-paid medical, dental, and vision (employee + family)
• 401(k) with 6% company contribution
• 4 weeks PTO plus 11 federal holidays
• Paid parental leave
• Government shutdown protection
• Tuition assistance and technical training
• Internet, phone, and fitness reimbursements
• Referral bonuses and spot awards
• Quarterly team events