5 lead data engineer jobs at 5 companies in Shepherd, TX
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Lead Analytics & Automation Engineer
Irving or The Woodlands or Richmond or Atlanta or United States
$114k-$190k/yrHybridFull Time
McKessonNew York Stock Exchange: MCK: Distributes pharmaceuticals and provides healthcare information technology solutions.
7+ YOEDegree or equivalent, 7+ years analytics/BI experience with 2+ years leadership; strong SQL, Python, Power BI/Tableau/Looker, Databricks/Snowflake experience; BI best practices and data modeling knowledge.
SQL, Microsoft Power BI, Tableau, Looker, Python, Databricks, Snowflake, SAP S4, RPA, AI/ML, GenAI
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOE5+ years software engineering experience, hands-on LLM and agentic system production experience, proficiency in Python/Java, large-scale data processing, Kafka, cloud-native engineering, CI/CD and secure engineering practices.
Lead Computer Systems Validation (CSV) Engineer (W)
The Woodlands, Texas, United States
OnsiteFull Time
Cellipont Bioservices: Contract development and manufacturing organization for cell therapies.
6+ YOEBachelor's in engineering/computer science/life sciences, 6+ years in regulated biopharma/GMP environment, CSV and data integrity expertise (21 CFR Part 11, EU Annex 11), risk-based validation, Smartsheet and Excel experience, mentorship and cross-functional collaboration skills.
Canacre: Provides environmental and land services for infrastructure projects.
8+ YOESenior GIS professional with 5+ years routing and siting experience and 8+ years GIS experience; expert in ArcGIS Pro/Enterprise, Python/ArcPy, FME, spatial modeling, SQL Server, and large-scale geospatial data management.
Spring or San Jose or Durham or Fort Collins or Andover
$170k-$413k/yrHybridFull Time
Hewlett Packard EnterpriseNYSE: HPE: Provides edge-to-cloud IT infrastructure and platform services.
15+ YOE5+ MgmtBachelor's in CS/engineering required; 15+ years product experience with 5+ years leading product teams in AI/ML or data infrastructure. Experience with AI platforms, model serving, GPU ecosystems, GTM and monetization.