10 bigquery data engineer jobs at 5 companies in Bloomington, IN
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
Bloomerang: Donor management and fundraising software for nonprofit organizations
5+ YOE5+ years building production data pipelines on modern lakehouse/warehouse, strong SQL and Python, experience with identity resolution, EMR/streaming awareness, observability, and AI-native tooling.
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
4+ YOE4+ years in data operations/engineering or technical BI; strong SQL and Python; experience building/monitoring data pipelines, data models, validation/tests (dbt or Python); familiarity with Snowflake/BigQuery/Airflow and REST APIs; knowledge of PII handling.
Senior Director – Real World Data (RWD) Architect - Engineer
Indianapolis, Indiana, United States
$170k-$249k/yrOnsiteFull Time
Eli Lilly and CompanyNYSE: LLY: Researches and manufactures medicines for human health.
5+ YOE3+ MgmtBachelor's degree, 5+ years data engineering experience with healthcare RWD, 3+ years people management, deep SQL and Python skills, cloud and Databricks experience, OMOP and healthcare coding familiarity.
Forward Deployed Engineer (FDE) - Public Sector, Nonprofit & Education
McLean or Maryland or Chicago or West Virginia or Virginia or Irvine or Indianapolis or San Francisco or New York City or Dallas or Denver or Atlanta or Austin
$89k-$288k/yrHybridFull Time
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
3+ YOE3+ years software engineering or technical delivery experience, customer-facing delivery experience, production systems experience, proficiency with Python/JavaScript/TypeScript/Java/Apex, hands-on LLM and data integration experience.
San Diego or San Francisco or South San Francisco or Boston or Louisville or Indianapolis
OnsiteFull Time
Eli Lilly and CompanyNYSE: LLY: Researches and manufactures medicines for human health.
1+ YOEBS/MS in a relevant STEM field; 1+ (MS) or 3+ (BS) years scientific software development; proficiency in Python and another language, SQL, cloud and container experience; authorized to work in the US (no visa sponsorship).
San Diego or San Francisco or Boston or Louisville or Indianapolis
$152k-$244k/yrOnsiteFull Time
Eli Lilly and CompanyNYSE: LLY: Researches and manufactures medicines for human health.
1+ YOEDegree in a STEM field; significant scientific software development experience; proficiency in Python plus one other language, strong SQL, RESTful APIs, cloud and containerization, MLOps tooling (MLflow, W&B), and lab automation integration experience.
3+ YOE3+ years in go-to-market/marketing operations or similar; hands-on experience with CRM and marketing automation (e.g., HubSpot, Salesforce, Marketo, Klaviyo); APIs, webhooks, Zapier/Make/n8n; scripting with SQL and Python or JavaScript; BI/data warehouse experience and AI/automation tooling.
3+ YOE3+ years experience in go-to-market/marketing or revenue operations; hands-on CRM and marketing automation experience; working knowledge of APIs, webhooks, and no-code automation; scripting with SQL plus Python or JavaScript; familiarity with data warehouses and BI tools; experience building AI workflows.
Eli Lilly and CompanyNYSE: LLY: Researches and manufactures medicines for human health.
3+ YOEBachelor's in a technical field and minimum 3 years data engineering experience with healthcare RWD; strong SQL and Python skills; experience with cloud data platforms, distributed computing, OMOP, and regulatory/privacy frameworks.