Jobs → Data & Analytics → Data Engineer

About the Role We are looking for a Data Engineer who can turn data into decisions that matter. This role involves supporting a statewide longitudinal data system, building pipelines that connect education records to workforce outcomes, and powering real policy decisions. Key Responsibilities • Design and build cloud data pipelines on AWS (S3, Glue, Redshift, EMR, Athena, Kinesis, Lambda) • Orchestrate workflows with Airflow / AWS Step Functions • Build monitoring, alerting, and data quality frameworks • Develop dashboards and decision-support products for executive users • Partner with data scientists and policy analysts on reproducible research Requirements • 5+ years of experience with AWS cloud data services • 5+ years of experience with Python / R / Java / C++ / Scala • 5+ years of experience with SQL & NoSQL (Oracle, SQL Server, Postgres, Cassandra) • 5+ years of experience with Git + CI/CD pipelines • 5+ years of experience with data modeling (dimensional, data vault, star/snowflake) • 5+ years of experience with big data tools (Hadoop, Spark, Kafka) • 5+ years of experience with Airflow / Luigi / Azkaban • 5+ years of experience with stream processing (Storm, Spark-Streaming) • Bonus: student-level higher education data experience.