Data Engineer (Hybrid)

TM Floyd

  • Richmond, VA
  • 9 days ago
  • $62.57 Per Hour

Highlights

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.

Numbers & Facts

LocationRichmond, VA

Description

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. 

TM Floyd & Company is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

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!

TM Floyd & Company participates in E-VERIFY.
AAP, EEO

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