Data & Infrastructure Engineer

WorkBay • Draper, UT

6d • Onsite

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed