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This role sits at the intersection of data engineering, API development, and search infrastructure. Unlike traditional data pipeline roles, the focus here is on low-latency services, governed data access, and search/discovery capabilities over the BizMap (unified data platform) curated datacube. You will design and operate production-grade APIs (FastAPI / REST), deploy them in containerized cloud environments, and build search and retrieval services leveraging analytical databases like ClickHouse, Snowflake, and Elasticsearch/OpenSearch to enable fast, relevant company discovery at a global scale.
Job Responsibility:
Design, implement, and maintain BizMap’s core APIs (/company, /search, /bulk, /agent) using Python and FastAPI
Build low-latency, scalable REST APIs for firmographics, financials, workforce data, and derived signals
Implement pagination, filtering, relevance ranking, and response shaping for diverse product and AI use cases
Develop search APIs supporting keyword, fuzzy, and semantic queries across company data
Use Elasticsearch/OpenSearch for relevance-ranked search and optimize databases for analytics and high-volume reads
Collaborate with ML and Data teams to integrate semantic ranking into responses
Containerize and deploy services with Docker and Kubernetes
Maintain scaling, observability, and reliability standards
Support authentication, authorization, and policy enforcement
Ensure APIs meet security, performance, and uptime standards
Partner with Data Engineering and ML teams to consume curated, deduplicated data and expose it through client-facing APIs
Requirements:
5–8+ years building API-driven systems with Python and FastAPI (or similar)
Experienced in designing and running production REST APIs
Skilled in containerization and orchestration (Docker, Kubernetes)
Built or operated search systems with Elasticsearch/ OpenSearch
Worked with high-performance analytical databases and large datasets
Translate data into efficient, low-latency API responses
Expert in scalable microservices, CI/CD, version control, and automated testing
Understand API versioning, backward compatibility, and performance trade-offs
Work effectively in cross-functional teams with data, ML, and product engineers
Own services end-to-end from design to production
Communicate technical constraints in product-aware terms
What we offer:
Join a fast-growing, high-impact team
Contribute to an ambitious effort to create the highest quality, most comprehensive business directory in the world
Be part of a startup-style group within the company that’s redefining how they deliver consulting through productization and data innovation
Work with cutting-edge data tools, including AI/ML enrichment, semantic matching, and modern cloud-based infrastructure