Enterprise Data Engineer

Data EngineerHoplite Solutions is seeking detail-oriented Data Engineers to build and maintain reliable data pipelines using Python, SQL, and ETL platforms such as Palantir. This role will focus on extracting, transforming, curating, and loading structured and unstructured data from diverse sources to support business, analytics, and operational needs.Key Responsibilities:Develop Python and SQL scripts to automate data processingIntegrate data from databases, APIs, and file systemsImplement data transformation, enrichment, and modeling workflowsOptimize data structures for performance and scalabilityMaintain data quality through validation, cleansing, and monitoringProvide technical support for effective use of ETL tools across teamsRequired Qualifications:3+ years of data engineering experienceStrong proficiency with Python and SQL for data processing, querying, transformation, and optimizationExperience integrating data from APIs, relational databases, file systems, and other diverse sourcesExperience supporting data quality, validation, cleansing, and monitoring practicesStrong analytical, problem-solving, communication, and teamwork skillsPreferred Qualifications:Bachelor's degree in Computer Science, Data Engineering, or a related fieldHands-on experience with Palantir or similar ETL platformsExperience with cloud platforms such as AWS, Azure, or GCP and big data technologies such as Spark or HadoopFamiliarity with data orchestration tools such as Apache Airflow, Prefect, or similar platformsLocation: Full-time on-site in Herndon, VA.