Data Engineer
Jobtailor
Design, develop, and maintain scalable data pipelines and ETL/ELT processes Build and optimize data solutions within cloud environments using AWS services and Databricks Ingest, transform, and integrate structured and unstructured data from multiple sources Develop and maintain data models, data marts, and database structures to support analytics and reporting Ensure data quality, integrity, and availability through validation, cleansing, and monitoring processes Collaborate with architects, analysts, and developers to translate business requirements into technical solutions Support CI/CD processes and automated deployments in collaboration with DevSecOps teams Participate in Agile development processes, including sprint planning, backlog grooming, and daily stand-ups Troubleshoot data issues, perform root cause analysis, and implement solutions in development and production environments Create and maintain technical documentation for data pipelines, transformations, and workflows Requirements 3–5 years of experience in data engineering, data integration, or related technical roles 3+ years of strong proficiency in Python and SQL for data processing and transformation U.S. Citizenship required due to federal contract requirements Bachelor’s degree in computer science, Engineering, or a related field (preferred) 2+ years of hands‑on experience with AWS data services (e.g., S3, Glue, Lambda, Redshift, RDS or similar) 2+ years of experience working with Databricks and Apache Spark or similar distributed data processing platforms 3+ years of experience with ETL/ELT frameworks, data pipeline development, and data ingestion patterns 3+ years of experience working with relational databases such as Oracle or PostgreSQL #J-18808-Ljbffr Jobtailor
Vacancy posted 4 days ago
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