JOBSEARCHER

ETL Developer

ETL Engineer – TS/SCI with Polygraph RequiredAbout the TeamAt 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 RoleDesign, build, and optimize ETL pipelines for large-scale data ingestion and transformationDevelop custom solutions to ingest, profile, and exploit new and existing data sourcesCollaborate with data scientists and analysts to support model development and analytical workflowsMaintain comprehensive data layer documentation for the broader engineering teamManage all stages of the data lifecycle from ingest planning through displayCollaborate with teammates, service providers, vendors, and mission users to develop more efficient methodsIdentify and communicate risks, constraints, and tradeoffs in data architecture decisionsRequired QualificationsActive TS/SCI with PolygraphU.S. CitizenshipBachelor's degree in Computer Science, Engineering, or related technical fieldStrong Python and/or Java development skills with significant SQL and database experienceHands-on experience building ETL pipelines in a Linux-based Big Data environmentExperience parsing using Regular ExpressionsExperience with interacting with the ELK StackFamiliarity with RESTful API integration and data source consumptionClear communication skills in collaborative engineering environmentsAdditional Strengths That Stand OutExperience with cloud data platforms (AWS Glue/S3, Azure Data Factory/Synapse, Snowflake, Databricks)Experience with Apache Spark or similar distributed processing frameworksExperience with pipeline orchestration tools such as Apache Airflow or equivalentExperience with Hadoop, HBase, and MapReducePrior work in a mission environment or with diverse, complex data typesContainerization experience with Docker and/or KubernetesPrior experience supporting AI/ML pipeline development or deploymentCore Interface BenefitsWe support our engineers with benefits designed for long-term success:100% employer-paid medical, dental, and vision (employee + family)401(k) with 6% company contribution4 weeks PTO plus 11 federal holidaysPaid parental leaveGovernment shutdown protectionTuition assistance and technical trainingInternet, phone, and fitness reimbursementsReferral bonuses and spot awardsQuarterly team eventsCommitment to InclusionCore Interface is an Equal Opportunity / Affirmative Action employer committed to building a workplace where everyone can contribute and grow. All qualified applicants will receive consideration for employment without regard to protected status under applicable law.