**Description** Join SAIC in supporting our enterprise data and analytics initiatives. As a Data Engineer, power the data. As a Data Engineer, you’ll build and maintain ETL pipelines, ensure data quality, and support environments like Databricks, Hadoop, and Spark. **This position is contingent upon award expected September 2025. Position will be located in Washington, DC at the customer site. May offer remote work upon award.** **Duties and Responsibilities:** + Design and maintain data pipelines and environments for initiatives + Build and maintain ETL pipelines + Ensure data quality and integrity + Support Databricks, Hadoop, Spark environments + Integrate cloud-based data tools **Qualifications** **Education and Experience:** + Active Secret Clearance, or ability to acquire one + Bachelor’s degree in data science, statistics, computer science, or related, or equivalent and 5+ years of related experience + 5+ years of data engineering experience + Proficient in SQL, Python, Apache Kafka/Airflow + Cloud experience (AWS Glue, Azure Data Factory) **Preferred Qualifications:** + Databricks certification + DHS/DoD background REQNUMBER: 2510081 SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability