Senior Data Engineer

Foley · Remote · Remote US ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
$140k – $180k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior Data Engineer
  • Fully remote (US)
  • Python + SQL + AWS
  • EST time zone
  • SaaS industry

Join Foley as a Senior Data Engineer to help build the data infrastructure that powers their safety-compliance SaaS platform. You will design scalable pipelines, implement data governance, and contribute to enterprise architecture while collaborating with Engineering, Product, and Analytics teams.

This hands-on role requires solving complex technical problems and delivering production-quality solutions. You will work in a remote environment, focusing on system reliability, data modeling, and continuous improvement of data workflows.

What you'll do

  • Design and maintain scalable data pipelines across databases and vendor systems
  • Support batch, event-driven, and CDC-based data workflows
  • Build and maintain data warehouse schemas and transformation layers
  • Implement data governance practices including role-based access control
  • Partner with stakeholders to translate requirements into data solutions
  • Contribute to the evolution of enterprise data architecture
  • Identify opportunities to improve workflows through automation and tooling

What you'll need

  • Strong experience building ETL/ELT pipelines in production environments
  • Proficiency with Python, SQL, and cloud-based data platforms
  • Experience with AWS services like Redshift, Glue, Lambda, S3, and EventBridge
  • Ability to design scalable warehouse schemas within layered architectures
  • Strong software engineering fundamentals including testing and reliability
  • Proven track record of troubleshooting issues in production systems
  • Comfortable working independently and handling ambiguity

Nice to have

  • Experience with medallion architecture and bronze/silver/gold patterns
  • Knowledge of graph data models and entity resolution
  • Experience supporting machine learning or LLM-related pipelines
  • Familiarity with AI tools to improve engineering productivity
  • Background in partnering with Data Science or Analytics teams

Stack

  • Python
  • SQL
  • AWS
  • Redshift
  • Glue
  • Lambda
  • S3
  • EventBridge

How you'll work

  • Primarily remote within the United States
  • Operates largely in Eastern Standard Time hours
  • Occasional travel required for team collaboration and events

What you get

  • Medical, dental, and vision coverage
  • 401(k) plan with company match
  • Paid time off and holidays
  • Wellness programs
  • Employee assistance program