Jobs / Bri***
AI & Data Engineer, Data Discovery Services
Bri*** · Princeton, NJ, United States
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Princeton, NJ, United States87,810-106,399 USD/yearlyHybrid
Remuneration
87,810-106,399 USD/yearly
Location
Princeton, NJ, United States
Visa sponsorship
Sponsors visa
Job summary
Working with Us Challenging. Those aren’t words that are usually associated with a job. But working at Bri*** is anything but usual.
Benefits
We offer a wide variety of competitiveServices and programs that provide our employees with the resources to pursue thRead more: careers.bms.com/working-with-us .PositionThe starting compensation range(s) for this role are listed above for a full-timListed on our careers site may vary based on the job and location.For more onPlease visit https://careers.bms.com/life-at-bms/.Benefit offerings are subject to the terms and conditions of the applicable planInclude:Health Coverage: Medical, pharmacy, dental, and vision care.Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Bett
Qualifications
- Experience:
- Required
- Bachelor’s degree in computer science, Data Science, Information Science, Engineering, or a related field.
- Master's degree preferred.
- Demonstrated proficiency in data engineering, software engineering, or a related technical discipline, with a track record of delivering production data pipelines.
- Proficient Python
- Experience with semantic knowledge layers, RAG patterns, vector search
- The starting pay rate takes into account characteristics of the job, such as required
Responsibilities
- As an AI / Data Engineer, you'll be a hands-on Python developer building the pipelines and integrations that make enterprise data more discoverable.
- You'll also contribute to search and AI-powered retrieval as you grow into the role.
- Working alongside data engineers, search engineers, and data scientists, this is a hands-on engineering role - you'll write code, build pipelines, ship features, and own what you deliver.
- Your primary focus is data engineering — pipelines, metadata enrichment, transformations, and platform integrations.
- Working alongside data engineers, search engineers, and data scientists, this is hands-on engineering role — you'll write code, build pipelines, ship features, and own what you deliver.
- Build and maintain Python pipelines that pull metadata from enterprise data catalogs, enrich it with taxonomy tags and ownership information, and publish it to the discovery platform.
- Tune and optimize search indexes - adjust analyzers, boost fields, and test queries - to ensure results match what users need.
- Maintain integrations that sync ontology and taxonomy changes into the discovery platform, so classifications stay current.
- Investigate and resolve data pipeline issues across Databricks and AWS Glue, trace root causes through metadata enrichment flows, and add data quality checks to prevent recurrence.
- Build API endpoints and Model Context Protocol (MCP) servers that expose search and metadata capabilities to applications and AI agents.
Skills
CommunicationExcel
Degrees
AssociateDegreeMaster
Work schedule
Shift
Travel
Travel
Industry
DefenseEnergyHealthcareInsuranceManufacturingPharma
Company size
EnterpriseSmb