Client : State of Vermont
Location : Remote
JD:
Data engineers will be responsible for designing and implementing data ingestion workflows to ingest data from a variety of sources, including government operations, business data, workforce data, and health data. Domain expertise in one or more of these areas is preferred. They will build robust, scalable, and efficient ELT (Extract, Load, Transform) patterns using AWS services such as S3, Glue, Athena, and Redshift. The data engineers will also be responsible for designing the data models and managing the schemas for the bronze and silver layers of the medallion architecture, as well as implementing data quality checks, data lineage tracking, and metadata
management to ensure data governance and compliance. Additionally, they will automate data pipeline workflows using tools like AWS Glue, AWS Step Functions, or Apache Airflow, and collaborate closely with technical staff, data analysts, data scientists, and business stakeholders. The selected data engineers should have a minimum of 3-5 years of experience in building and maintaining large-scale, enterprise grade data lake solutions on the AWS platform and will be required to maintain comprehensive documentation of the data lake architecture, data models, and data pipe.
