Overview Acuity Inc. is seeking a highly skilled Data Engineer to join our Engineering Team, helping drive the design and delivery of AWS cloud-scale data platforms for federal clients. This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise data modernization. This is a remote role, based from Fairfax County, Virginia, United States.

Responsibilities - Build and maintain scalable PySpark-based data pipelines in Databricks notebooks to support ingestion, transformation, and enrichment of structured and semi-structured data. - Design and implement Delta Lake tables optimized for ACID compliance, partition pruning, schema enforcement, and query performance across large datasets. - Develop ETL and ELT workflows that integrate multiple source systems into a centralized, query-optimized data warehouse architecture. - Leverage Spark SQL and DataFrame APIs to implement business rules, dimensional joins, and aggregation logic aligned to warehouse modeling best practices. - Collaborate with data architects and engineers to implement cloud-native data solutions on AWS using S3, Glue, RDS, and IAM for secure, scalable storage and access control. - Optimize pipeline performance through intelligent partitioning, caching, broadcast joins, and adaptive query tuning. - Deploy and version data engineering assets using Git-integrated development workflows and automate deployment with CI/CD tools such as GitLab or Jenkins. - Monitor pipeline health, j

Overview Acuity Inc. is seeking a highly skilled Data Engineer to join our Engineering Team, helping drive the design and delivery of AWS cloud-scale data platforms for federal clients. This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise data modernization. This is a remote role, based from Fairfax County, Virginia, United States.

Responsibilities - Build and maintain scalable PySpark-based data pipelines in Databricks notebooks to support ingestion, transformation, and enrichment of structured and semi-structured data. - Design and implement Delta Lake tables optimized for ACID compliance, partition pruning, schema enforcement, and query performance across large datasets. - Develop ETL and ELT workflows that integrate multiple source systems into a centralized, query-optimized data warehouse architecture. - Leverage Spark SQL and DataFrame APIs to implement business rules, dimensional joins, and aggregation logic aligned to warehouse modeling best practices. - Collaborate with data architects and engineers to implement cloud-native data solutions on AWS using S3, Glue, RDS, and IAM for secure, scalable storage and access control. - Optimize pipeline performance through intelligent partitioning, caching, broadcast joins, and adaptive query tuning. - Deploy and version data engineering assets using Git-integrated development workflows and automate deployment with CI/CD tools such as GitLab or Jenkins. - Monitor pipeline health, j