Data Engineer

Acuity, Inc. seeks a Data Engineer to design, develop, and maintain scalable data pipelines and integration solutions supporting a federal client. This role builds and optimizes ETL/ELT workflows across the data warehouse, data lake, and analytics platform environment, with strong emphasis on Databricks, Apache Spark, and AWS.

Requirements

• Design, build, and maintain scalable data pipelines, ETL/ELT processes, and integration workflows
• Develop transformations and curated datasets using Databricks, Apache Spark, and SQL
• Support ingestion, processing, and delivery of structured, semi-structured, and unstructured data
• Build and optimize workflows across data lake, data warehouse, and analytics platforms
• Implement data quality checks, validation rules, and operational monitoring across pipelines and datasets
• Improve performance, reliability, scalability, and security of data processing solutions
• Support cloud-based data engineering solutions in AWS, including storage and data service integration
• Collaborate with engineers, architects, analysts, and stakeholders to implement technical requirements
• Support Big Data, Advanced Analytics, and Machine Learning use cases from a data engineering perspective
• Maintain documentation for pipelines, transformations, data flows, and operational procedures
• Support code versioning, CI/CD, and controlled deployment of data engineering assets
• Troubleshoot pipeline, data, and platform issues across development, test, and production environments

Benefits

• Competitive compensation
• Health/Dental/Vision coverage
• 401(k) with company match
• Up to $6,000/year for training & professional development