Data Engineer

FOLEY INC
Boston, MA, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon S3 Data Analysis Data as a Services Data Architecture Data Governance Extract Transform Load (ETL) Data Systems Data Warehousing Python (Programming Language) Machine Learning Role-Based Access Control
+4 more
SQL Databases Cloud Platform System Large Language Models Data Pipelines

Job description

We are looking for a Senior Data Engineer to help design, build, and scale the data systems that power how Foley operates and grows. In this role, you will build reliable data pipelines, contribute to our enterprise data architecture, and help improve how data is modeled, governed, and accessed across the organization.

This is a hands-on senior engineering role for someone who enjoys solving real technical problems, delivering production-quality data solutions, and improving systems over time. You will partner closely with Engineering, Product, Analytics, and business stakeholders to ensure our data systems are scalable, trusted, and built to support decision-making across the company.

The ideal candidate combines strong technical depth with practical execution. They should be comfortable operating in ambiguity, troubleshooting issues as they arise, and delivering well-structured solutions within a defined scope., * Design, build, and maintain scalable data pipelines across internal databases, vendor systems, and our data warehouse

  • Support both batch and event-driven or CDC-based data workflows
  • Improve pipeline reliability, observability, and performance
  • Troubleshoot issues in production and proactively solve data quality or system problems

Data Modeling & Governance

  • Build and maintain data warehouse schemas and transformation layers to support analytics and operational use cases
  • Contribute to data modeling standards and best practices
  • Implement data governance practices, including role-based access control and trusted data definitions
  • Support data quality and consistency across systems

Cross-Functional Partnership

  • Partner with Engineering, Product, Analytics, and business stakeholders to translate requirements into practical data solutions
  • Communicate clearly about implementation choices, tradeoffs, and technical constraints
  • Help stakeholders access data that is reliable, understandable, and useful

Continuous Improvement

  • Identify opportunities to improve data workflows through better tooling, automation, and engineering practices
  • Embrace new technologies, including AI-enabled tools, where they improve quality or efficiency
  • Continuously improve system design, maintainability, and team effectiveness

Data Architecture & Systems Design

  • Contribute to the design and evolution of our enterprise data architecture
  • Help shape scalable patterns for how data is ingested, transformed, stored, and accessed
  • Apply sound architectural judgment to build solutions that balance scalability, maintainability, and performance
  • Support a layered data architecture, including bronze, silver, and gold data models

Requirements

  • Strong experience building and maintaining ETL/ELT pipelines in production environments
  • Experience working across both batch and streaming / CDC / event-driven data patterns
  • Proven ability to design and maintain scalable warehouse schemas and data models within a layered architecture
  • Strong experience with Python, SQL, and cloud-based data platforms
  • Experience with AWS data services such as Redshift, Glue, Lambda, S3, and EventBridge
  • Strong software engineering fundamentals, including reliability, testing, and maintainability
  • Ability to operate independently and deliver high-quality solutions within a defined technical scope
  • Strong problem-solving skills and a track record of handling issues in production environments

Nice-to-Haves

  • Experience with medallion architecture and bronze, silver, gold data modeling patterns
  • Experience with graph data models and entity resolution
  • Experience implementing data governance practices, including RBAC
  • Experience supporting machine learning or LLM-related pipelines in production environments
  • Familiarity with tools or workflows that use AI to improve engineering productivity
  • Experience partnering with Data Science or Analytics teams to support data products

You Might Thrive in This Role If You

  • Enjoy being hands-on and solving concrete technical problems
  • Think in systems and tradeoffs, not just tools
  • Can clearly explain what you built, why you built it that way, and what impact it had
  • Are comfortable owning execution and working through ambiguity
  • Notice when something is broken or inefficient and take initiative to improve it
  • Are open to using AI and automation thoughtfully, even if you are not an expert in AI systems

Benefits & conditions

Foley offers a comprehensive benefits package that includes medical, dental, and vision coverage, a 401(k) with company match, paid time off and holidays, wellness programs, and an employee assistance program.

About the company

At Foley, we’re reimagining how safety-sensitive industries hire, stay compliant, and manage risk. We’ve evolved into a modern SaaS company with an all-in-one, AI-ready platform that helps transportation, construction, distribution, and utility businesses operate faster, smarter, and safer.

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Good distractions

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