Data & Infrastructure Engineer

Company: WorkBay
Location: Salt Lake City, UT area | On-Site preferred | Hybrid considered
Employment Type: Full-Time
Compensation: Based on experience

About WorkBay
WorkBay is the largest owner/operator of micro-bay industrial warehouse parks in the United
States. Fully vertically integrated, we develop, acquire, and manage micro-bay properties across
the country's top markets. We move fast, think strategically, and build systems that scale — and
we're looking for an engineer who does the same.

Position Overview
We are seeking a skilled and motivated Data & Infrastructure Engineer to own and evolve the
data platform that powers WorkBay's operations, analytics, and strategic decision-making. You
will maintain and extend our data pipelines, API integrations, cloud deployments, and AI powered tools — ensuring the integrity, security, and reliability of our proprietary systems as we
continue to scale.

Key Responsibilities

- Maintain and extend scheduled data sync pipelines that pull from third-party APIs into our
PostgreSQL database
- Monitor and troubleshoot cloud deployments across Vercel (serverless functions) and
Railway (container services), including uptime, logs, and performance
- Build and manage API integrations — designing endpoints, handling authentication, and
ensuring reliability across internal and external services
- Enforce data integrity standards including validation, cleansing, deduplication, and quality
assurance across complex multi-source data
- Implement and maintain data security protocols to protect WorkBay's proprietary
information, including access controls and encryption
- Support and extend our AI infrastructure, prompt configurations, evaluation suites, and cost
monitoring
- Own database schema migrations, indexing, and query optimization in PostgreSQL
- Manage version-controlled codebases using GitHub, including code reviews, CI/CD pipelines,
and deployment workflows
- Collaborate with leadership to design data-driven tools and dashboards that support
operational decision-making
- Document data architecture, runbooks, and processes to ensure organizational continuity

Qualifications

Required

- 3–5 years of professional experience in data engineering, platform engineering, or a related
field
- Strong proficiency in Python and SQL
- Production experience with PostgreSQL (schema design, migrations, query optimization)
- Experience building and consuming REST APIs
- Proficiency with GitHub and modern version control workflows (branching, PRs, CI/CD)
- Experience with serverless platforms (Vercel, AWS Lambda, Cloudflare Workers, or similar)
- Comfort with Linux CLI, shell scripting, and remote server management
- Strong problem-solving skills with the ability to work independently and manage multiple
priorities

Preferred

- Exposure to AI/LLM architecture — understanding how large language models consume
data and how to structure pipelines that support AI-driven applications
- Experience with container-based deployment platforms (e.g., Railway, Docker, Fly.io)
- Experience with CRM integrations (e.g., Salesforce, HubSpot) or property management systems
(e.g., Yardi, MRI, RealPage)
- Background in real estate, property management, or commercial real estate tech
- Experience with ETL/ELT patterns and workflow orchestration (e.g., APScheduler, Airflow,
Dagster)
- Familiarity with React/TypeScript (not required, but helpful for full-stack debugging)
- Experience in a high-growth or scaling company environment

What We Offer

• Competitive compensation based on experience
• Generous PTO policy
• Opportunity to own critical infrastructure at a fast-scaling company in commercial real estate
• A lean, entrepreneurial environment where your work directly impacts company growth
• Cutting-edge AI/ML workflows for real estate — you'll work with LLM APIs, prompt engineering, and AI-powered automation in a live business context

*WorkBay is an equal opportunity employer. We celebrate diversity and are committed to*
*creating an inclusive environment for all employees*