Data Acquisition Engineer
- Hiring from
- United States
- Work type
- Hybrid
- Posted
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About Parcell
Parcell is a modern site-selection and scoring platform built for affordable housing developers leveraging the Low-Income Housing Tax Credit (LIHTC) program. LIHTC is responsible for roughly 85% of all affordable housing development in the U.S., and every state administers the program through its own Qualified Allocation Plan (QAP)—a complex set of scoring rules that developers must navigate.
Our platform uses AI to turn this complexity into clarity. We help developers pinpoint the best sites, optimize scoring, and make higher-confidence decisions in minutes instead of weeks. Industry leaders often describe Parcell as “the ChatGPT for LIHTC site selection.” We work with many of the most reputable affordable housing developers in the country including the likes of Pivotal Housing, Columbia Residential and Dominium (all in the top 50 affordable developers nationwide).
We are headquartered in Atlanta, GA, with a remote team composed of highly driven technologists, former executives, and entrepreneurs. The founders are Sang Venkatraman and Carlos Lawton.
About the Role
The easy data is already automated. You’ll tackle the harder problems: uncovering data behind municipal portals, reconstructing useful metrics, and building datasets that don’t exist off the shelf.
You’ll take that work from investigation through production, alongside operations and the people bringing new states onto Parcell. Your work will help affordable housing developers decide where to build.
This is a full-time, hybrid role based in Atlanta, GA.
What You Will Do
- Partner with operations and the people bringing new states onto Parcell to understand data needs and work through challenges together.
- Uncover difficult data sources and combine or reconstruct information into datasets the platform can use.
- Explore ideas through prototypes, then turn promising approaches into production software.
- Design data models that make new information useful within Parcell’s platform.
- Build repeatable ways to acquire and refresh data as sources change.
- Validate the results and work with operations to make each solution reliable to run.
Who You Are
- You love a good data puzzle. An unfamiliar portal or an elusive dataset makes you want to dig in and figure it out.
- You follow clues, test ideas, and find a practical way forward—even when nobody can hand you the answer.
- You enjoy turning discoveries into working software and have owned production systems from idea through release.
- You’re strong in PostgreSQL and think carefully about how data should fit into the platform.
- You can read and review TypeScript, catch issues, and verify that code matches the intended design.
- You work with AI agents as part of your development team, directing their work and owning the technical decisions.
- You understand spatial data or are eager to learn PostGIS, with the technical foundation to do so.
Bonus Points
- Web scraping, difficult public-data acquisition, or inspecting undocumented APIs and network traffic.
- PostGIS and government, municipal, or open-data sources.
- Startup or small-team experience with broad ownership of production systems.
- Experience validating messy data where accuracy, completeness, and methodology cannot be assumed.
A specific degree, LIHTC or housing experience, and traditional data-warehouse tooling are not required.
Why You’ll Love Working at Parcell
- High ownership of problems from initial investigation through production.
- Work that directly influences where affordable housing gets built.
- A small, pragmatic team where you can shape how problems are solved.
- Join as an early engineer and help shape the product and how we build it.
- Work directly with the founders at a small, profitable startup.