Data Engineer
About The Position
Infinitive is a data and AI consultancy that enables its clients to modernize and operationalize their data to create lasting and substantial value. We bring deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable measurable value. Infinitive has been named Best Small Firms to Work For by Consulting Magazine 8 times, most recently in 2025. Infinitive has also been named a Washington Post Top Workplace, Washington Business Journal Best Places to Work, and Virginia Business Best Places to Work. We are seeking a skilled and driven Data Engineer to support the design, build, and maintenance of scalable data pipelines and integration solutions supporting a federal client. This role will focus on building and optimizing ETL/ELT workflows across the data lake, data warehouse, and analytics platform - leveraging AWS, Databricks, and Apache Spark.
Requirements
- Eligible applicants must be United States Citizens with the ability to obtain a government security clearance.
- Minimum of 4 years of professional experience in data engineering or a closely related role.
- Bachelor’s Degree in Computer Sciences, Information Systems, Engineering, or a related field.
Nice To Haves
- Advanced degree or relevant professional certifications (e.g., AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer, Azure Data Engineer Associate) preferred.
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
