Job Summary:
Acuity, Inc. is a technology consulting firm that supports federal agencies, and they are seeking a Data Engineer to design, develop, and maintain scalable data pipelines and integration solutions. The role involves building and optimizing ETL/ELT workflows and delivering high-performing data solutions that support analytics and reporting.
Responsibilities:
• 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
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent relevant experience
• 5+ years of experience developing big data or data engineering solutions in an Agile environment
• Hands-on experience with Databricks, including Delta Lake or lakehouse-based data engineering
• Experience developing and deploying ETL/ELT pipelines using Apache Spark
• Strong SQL skills, including complex queries, joins, aggregations, and window functions
• Experience with AWS and cloud-based data platform services
• Experience with Python, PySpark, SQL, or similar data engineering languages and frameworks
• Experience with code versioning, CI/CD, and configuration management concepts
• Experience working in Agile delivery environments, including Scrum
• Ability to troubleshoot and optimize data pipelines for quality, performance, and reliability
• Must be a U.S. Citizen with the ability to obtain and maintain U.S. suitability
Preferred:
• Experience with Delta Lake design and optimization
• Experience integrating Databricks with Git-based workflows in controlled network environments
• Experience with data quality, lineage, logging, and metadata practices
• Experience supporting advanced analytics or machine learning data pipelines
• Experience tuning performance in distributed data processing environments
Company:
Acuity is an information technology company that offers cybersecurity and project management services. Founded in 2002, the company is headquartered in Reston, USA, with a team of 201-500 employees. The company is currently Growth Stage.