We are looking for a Staff Data Engineer to design, build, and scale the data systems that power how Foley operates and grows. In this role, you will lead the development of reliable data pipelines, shape our enterprise data architecture, and establish high standards for how data is modeled, governed, and accessed across the organization.
This is a highly strategic and hands-on technical leadership role. You will be the most senior data engineering voice on the team, partnering closely with Engineering, Product, Analytics, and business stakeholders to ensure our data systems are scalable, trusted, and built for long-term impact.
The ideal candidate combines strong data architecture depth with practical execution. They should be able to operate independently, navigate ambiguity, and make sound technical tradeoffs in a fast-moving environment.
What You’ll DoData Architecture and StrategyLead the design and evolution of Foley’s enterprise data architecture
Contribute to the ongoing development of our Enterprise Data Model
Define standards and best practices for data modeling, storage, access, and reliability
Drive architectural decisions that balance scalability, maintainability, and performance
Design, build, and maintain scalable data pipelines across internal systems, vendor platforms, and the data warehouse
Improve data quality, observability, and reliability across core workflows
Optimize data workflows for efficiency and long-term operational health
Support both batch and event-driven or CDC-based pipeline patterns
Own schema design and warehouse modeling strategy, including dimensional and normalized approaches where appropriate
Help define and implement data governance best practices, including RBAC
Ensure shared definitions, documentation, and trust in core business data
Serve as a thought partner to Engineering, Product, Analytics, and business teams
Translate technical complexity into clear recommendations and tradeoffs
Raise the bar for data engineering practices across the organization
Help the company make better decisions through strong, accessible data foundations
Identify opportunities to improve workflows through automation, tooling, and thoughtful use of AI
Experiment pragmatically with new technologies and scale what works
Build systems and guardrails that enable teams to move faster without sacrificing quality
Strong experience building and maintaining production ETL/ELT pipelines
Experience working across both batch and streaming / CDC / event-driven data environments
Proven ability to design scalable warehouse schemas and data models in a layered architecture
Deep knowledge of database architecture and distributed data systems
Experience with cross-system entity resolution and complex data modeling
Experience implementing data governance standards, including RBAC
Strong software engineering fundamentals, including reliability, backend systems, and data processing
Ability to operate at a Staff level, setting direction and influencing across teams
Strong experience with Python, SQL, and AWS data tooling including Redshift, Glue, Lambda, S3 and Data Orchestration (e.g. Airflow).
Experience supporting ML or LLM-related pipelines in production
Familiarity with multi-step agent orchestration frameworks such as LangGraph
Experience partnering with Data Science teams to operationalize data products
Experience helping organizations introduce AI-enabled workflows in a thoughtful, production-oriented way
Think in systems and tradeoffs, not just tools
Enjoy solving ambiguous data problems and turning them into scalable solutions
Can communicate clearly with both technical and non-technical stakeholders
Take ownership and raise the bar for those around you
Are curious about using AI and automation to improve how work gets done, while maintaining strong technical standards
Location: This role is primarily remote, US-based, and operates largely in EST hours, with occasional travel for team collaboration and company events.
About usAt 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.
As we continue to grow, we’re looking for curious, strategic thinkers who thrive in complexity, are motivated by making an impact, and want to join a team that’s passionate about building great products and supporting customers. Our core values — Teammateship, Grit, and Innovation — guide everything we do. Whether we’re collaborating internally or helping customers, we approach every challenge with optimism, humor, and a shared commitment to success.
Benefits
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.
Equal Employment Opportunity
Foley is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, or any other legally protected characteristic.
Reasonable Accommodations
If you require a reasonable accommodation during the application or interview process, please contact us at [email protected]
Employment Status
Employment with Foley is on an at-will basis. Nothing in this job posting or in future communications should be construed as a contract of employment.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Privacy Policy: Please see our Applicant Privacy Policy for more information on how Foley processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.
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