Data Engineer (Hybrid)

TM Floyd and Company

$130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of data engineering experience
  • Advanced expertise in SQL, ELT patterns, and performance tuning
  • Strong background in Oracle Exadata, Snowflake, or similar data warehouses
  • Hands-on experience with enterprise ETL/ELT platforms (e.g., Talend, dbt)
  • Deep understanding of data warehousing architecture and dimensional modeling
  • Experience designing large-scale production data pipelines
  • Strong scripting skills in Python or shell

Responsibilities

  • Build end-to-end data pipelines and ETL/ELT solutions for analytics
  • Develop, test, and deploy scalable batch and incremental data workflows
  • Optimize data modeling and transformation logic through technical expertise
  • Evaluate and integrate tools to meet project requirements via prototyping
  • Create complex, high-volume SQL-centric data pipelines
  • Implement scalable streaming pipelines for real-time data processing
  • Maintain low-latency streaming data pipelines using Kafka, Kinesis, or Spark Streaming

Benefits

  • Generous array of benefits based on assignment length
  • Referral bonus of up to $1,000
Full Job 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.

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!

Similar Jobs

More Jobs at TM Floyd and Company

More Information Technology Jobs

Find similar Data Engineer (Hybrid) jobs: