Job Summary:
CoStar Group is building a new platform for CRE underwriting and is seeking a Senior Business Analyst, Data Integration to manage API integrations that facilitate the flow of data from external systems into their platform. The role involves owning the customer-facing aspects of these integrations, ensuring reliability, and evolving them into agent-callable surfaces over time.
Responsibilities:
• The API integrations that land customer data in the platform — core banking exports, property data feeds, CMBS data, borrower-supplied rent rolls, anything else a design partner shows up with. Each one becomes a typed write path that respects our data model.
• The outbound side of those integrations — exporting contextual data back to customer systems via API so the work done in our platform shows up where the customer already runs their business. Enriched records, derived metrics, scenario outputs, snapshot data: the integrations move in both directions, and the export side matters as much as the ingest side for customers to trust the round trip.
• The customer-facing side of all of it. You will be the person each customer’s IT team talks to during scoping, credentialing, and cutover, and the person they call when something looks wrong six months later. Each API connection is a relationship, not just a config file.
• The reliability story for those pipelines — error handling, idempotency, replays, retry semantics, auth refresh, the things that decide whether a customer trusts us with their next quarter’s data.
• The mapping decisions that nobody else can make — how a source-system field maps to our model on the way in, how an enriched record maps back on the way out, when a fuzzy address match is good enough, what gets logged for review vs. auto-resolved.
• The ongoing health of every active API connection — monitoring, alerting, version upgrades when a vendor deprecates an endpoint, coordinating with customer IT when credentials rotate or schemas drift.
• Over time: the evolution of these integrations from scheduled pipelines into agent-callable surfaces. You will be the person who decides which writes stay pipeline-only and which become tools an agent can call, and how the typed contracts on each side meet.
Qualifications:
Required:
• 7+ years building and operating production API integrations, in both directions. REST, GraphQL, webhooks, OAuth flows, batch ETL, the whole catalog. You have opinions about how to handle pagination, rate limits, schema drift, auth expiry, and bad data without escalating every edge case to engineering.
• Experience managing API connections as customer-facing assets — scoping with a customer’s IT or data team, working through their security review, and being the named contact when the pipeline misbehaves. You’re comfortable on a call with a bank’s API team and equally comfortable in the logs.
• Comfort writing scripts to glue, transform, and validate — Python, Node, or equivalent. You don’t need to be a software engineer, but you need to read code, ship working integrations end to end, and know when a one-off script should become a pipeline.
• A working understanding of why typed data models matter, and why production-grade integrations require more than moving rows from A to B.
• Bachelor’s degree from an accredited, not-for-profit, in person, university or college.
• A track record of commitment to prior employers
Preferred:
• Familiarity with CRE data sources is a plus, not a requirement. If you’ve integrated systems like FIS, CoStar, Intex, Yardi, or MRI, say so. If you haven’t, we’ll teach you the domain; we can’t teach the integration instincts in the same timeframe.
• Curiosity about LLM agents and the interface between agents and the systems they call. You don’t need to have shipped an agent-callable tool. You need to find the question of 'what does an agent need from this integration that a pipeline doesn’t' genuinely interesting.
Company:
Discover what the gold standard in commercial real estate means for you. Founded in 1987, the company is headquartered in Arlington, VA, US, , with a team of 1001-5000 employees. The company is currently Late Stage.