Data & AI Platform Engineer
Chicago, IllinoisAll locationsChicago, IllinoisSan Ramon, CaliforniaSalt Lake City, UtahPhiladelphia, PennsylvaniaPasadena, CaliforniaBellevue, WashingtonIrvine, CaliforniaDuluth, GeorgiaDowntown Los Angeles, CaliforniaBoca Raton, FloridaBrunswick, GeorgiaAtlanta, GeorgiaBoise, IdahoEl Segundo, CaliforniaDenver, ColoradoDallas, TexasNew York City, New York (Madison Ave.)Century City, CaliforniaGarden City, New YorkNashville, Tennessee On-site
$91,300–$124,400 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g., Power BI, Tableau).
What you'll bring
- Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud operations role (internships/co-ops count).
- Minimum 1 year of representative accounting experience whether implementing systems, or any direct accounting roles.
- Note this is an important requirement.
- Candidates that understand accounting systems will have a significant edge in pursuit of this role.
- Comfort with one or more of the following areas (not all):
- A BI platform: Power BI or Tableau
- CI/CD concepts (Git, branching/PRs, basic pipelines)
- Basic scripting capability in Python or PowerShell (or willingness to learn quickly).
- Strong troubleshooting mindset: can break problems down, gather evidence, and communicate clearly.
- Ability to document what you learned (runbooks, checklists, short “how-to” guides).
- Exposure to cloud concepts: identity/access, resource organization, logging/monitoring.
- Familiarity with SQL and performance basics (indexes/partitioning concepts, query plans at a high level).