Sr. Data Engineer

BambooHR
Utah
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Communication","Analytical thinking","Problem-solving","Detail-oriented","Continuous learning"]

Design, build, and operate scalable data platforms, analytics systems, and AI/ML infrastructure. Develop reliable ingestion, transformation, and data models across lake, lakehouse, warehouse, and data marts, then productionize machine learning pipelines with observability, versioning, reproducibility, and lineage. Partner cross-functionally to translate business needs into ERDs, data flows, and feature pipelines, including agentic LLM workflows and unstructured data pipelines.

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FursaFursa
BambooHR
BambooHR
1 month ago

Sr. Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Design, build, and operate scalable data platforms, analytics systems, and AI/ML infrastructure. Develop reliable ingestion, transformation, and data models across lake, lakehouse, warehouse, and data marts, then productionize machine learning pipelines with observability, versioning, reproducibility, and lineage. Partner cross-functionally to translate business needs into ERDs, data flows, and feature pipelines, including agentic LLM workflows and unstructured data pipelines.
Location: Utah
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and maintain scalable data ingestion and transformation pipelines using Python and SQL.
  • •Build and optimize lake/lakehouse/warehouse/data mart architectures and maintain data models and domain-specific data products.
  • •Develop and operationalize ML pipelines for training, validation, deployment, and observability; support model lifecycle management and lineage.
  • •Build and maintain ML feature stores and reusable feature pipelines, and integrate AI-powered applications and agentic workflows (LLM-based agents, RAG, automation).
  • •Implement infrastructure as code and CI/CD for data/ML systems, ensuring data privacy, security, access control, and data quality through tests and documentation.

Pay and Benefits

Perks:Health InsuranceLife InsuranceDisability Insurance401kPaid LeaveParental Leave

Key Requirements

  • •Strong Python development experience and advanced SQL skills, including query optimization.
  • •Experience building and scaling data pipelines using Databricks and PySpark, with deep knowledge of lake/lakehouse/warehouse/data mart architectures.
  • •Experience with data modeling, modern transformation tooling (e.g., dbt), and data quality testing.
  • •Hands-on experience building AI agents and agentic workflows, with exposure to LLMs, embeddings, vector stores/vector databases, and unstructured data pipelines.
  • •Experience building machine learning pipelines in production, including feature stores and ML lifecycle management (monitoring/evaluation).
Experience:Data engineeringMachine learningAI agentsMLOpsData modeling
Education:Bachelor's
Skills:CommunicationAnalytical thinkingProblem-solvingDetail-orientedContinuous learning
Tech Stack:PythonSQLDatabricksPySparkDbtAWSGitCI/CDInfrastructure as codeLLMsEmbeddingsVector databasesVector storesRetrieval-augmented generationClaude CodeCursorWindsurferStreaming dataCDCUnit tests

Company Brief

BambooHR
Provides cloud-based human resources software that streamlines HR tasks including employee onboarding, time-off tracking, performance management, and HR analytics for small to mid-sized businesses, centralizing people data and automating HR workflows.
Industry: HR Tech
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Lindon, United States
Founded: 2008
WebsiteLinkedIn