Data Engineer - (Direct Client Hire (FTE))

Data Engineer Location: Remote (U.S.) Skills: SAS data extraction, Snowflake, cloud ETL tools, AWS services, SQL, Python Role Overview The Data Engineer supports Treasury’s data modernization initiative migrating large legacy datasets from SAS to Snowflake on AWS, focusing on data ingestion, transformation, validation, and operational support of secure cloud analytics platforms. Key Responsibilities Develop and execute data pipelines to migrate datasets from SAS to Snowflake on AWS Extract and transform legacy data using SAS scripts, SQL, and Python Load data into Snowflake using bulk loading and staging techniques Support data storage and access using Amazon S3 and Snowflake stages Perform data quality checks, reconciliation, and validation post‑migration Assist in converting SAS data models to Snowflake‑compatible schemas Work with Parquet, CSV, and JSON data formats Follow Federal security, governance, and documentation standards Support testing, deployment, and operational monitoring Required Skills & Qualifications Hands‑on experience with SAS data extraction and transformation Experience with Snowflake or cloud‑based data warehouses Working knowledge of AWS services (S3, IAM, basic Glue) Proficiency in SQL and Python Understanding of data warehousing and ETL concepts Familiarity with data security best practices Preferred Qualifications Experience supporting Federal or Government data environments Exposure to AWS Glue or cloud ETL tools AWS Certification preferred (AWS Cloud Practitioner or AWS Data Analytics – Associate) Snowflake foundational or SnowPro certification a plus Active Public Trust clearance is plus, however client will sponsor clearance for qualified candidates Seniority Level Entry level Employment Type Full-time Job Function Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr Snowrelic Inc