We're hiring a Data Engineer to join our team in Richmond, VA. This role offers a hybrid schedule, with onsite work required 5 days in the office and 5 days out.Skills & Qualifications:- 5-7 years of data engineering experience
- Advanced expertise in SQL, ELT patterns, and performance tuning
- Strong experience with Oracle Exadata, Snowflake or similar cloud/on-prem data warehouses
- Hands-on experience with enterprise ETL/ELT platforms (e.g., Talend, dbt, Informatica)
- Deep understanding of data warehousing architecture and dimensional modeling
- Experience designing and supporting large scale, production data pipelines
- Strong scripting experience (Python, shell)
- Experience with data virtualization tools (e.g., Denodo, Composite, dremio, Starburst)
- Experience with DataOps practices, CI/CD, and observability
- ETL Development and Process Support, may require weekend/off business hours work
Key Responsibilities:- Build end-to-end data pipelines and ETL/ELT solutions to support analytics, reporting, and AI/ML use cases ensuring solutions are robust and production-ready through practical implementation
- Apply scalable patterns for batch and incremental processing by developing, testing, and deploying data workflows focusing on hands-on coding and troubleshooting
- Review and implement data modeling, transformation logic, and performance strategies using deep technical expertise to optimize and validate solutions
- Evaluate, select, and integrate tooling, frameworks, and platform capabilities by actively prototyping and configuring systems to meet project requirements
- Build up complex, high-volume data pipelines using SQL-centric ETL/ELT patterns
- Design and implement scalable streaming pipelines to process real-time data ensuring low latency and reliable delivery for analytics and operational use cases
- Build and maintain scalable, low-latency streaming data pipelines using technologies such as Kafka, Kinesis, or Spark Streaming
Education/Certifications:- Bachelor's degree or higher required
- Discipline: Computer Science, Information Systems, Mathematics
The hourly rate for this position is $62.57.
We offer a generous array of benefits, depending on the length of assignment. We also offer a referral bonus of up to $1,000. Ask us for more details!