A company is looking for a Data Engineer (DoD Secret | Remote).
Key Responsibilities
Build and maintain end-to-end data pipelines using Airflow, Spark, dbt, and Iceberg
Ingest and normalize structured and unstructured data for analytics and AI / ML use cases
Collaborate with DevSecOps and Data Science teams to deliver AI-ready datasets
Required Qualifications
4+ years of experience in Data Engineering or Analytics Engineering
Proficient in SQL and Python, with experience in modular, version-controlled transformations
Hands-on experience with Apache Airflow, Apache Spark, and data lake frameworks
Strong understanding of ETL / ELT design, data modeling, and governance
Familiar with AWS services and cloud-native data architectures
Data Engineer • Lincoln, Nebraska, United States