Data Engineer - Hybrid Lakehouse on Azure & Data Quality

Trupanion

Seattle (WA)

Hybrid

USD 130,000 - 150,000

Full time

3 days ago
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Benefits offered by this job

Medical benefits
PTO 4 weeks + 9 holidays
Sabbatical after 5 years
Pet-friendly office
Pet health insurance for your pet

Job summary

Trupanion is hiring a Data Engineer to design, build, and optimize data systems on a Databricks Lakehouse hosted in Azure. You will focus on reliable data ingestion, gold-layer data marts, and data quality governance.

The role emphasizes collaboration with analytics teams and a strong focus on data accuracy and auditable pipelines. The position supports a nationwide search with a preference for Seattle or East Coast time zones and offers a hybrid schedule with in-office presence at least three

Qualifications

  • Bachelor’s level degree or higher in Computer Science, Engineering, or equivalent practical experience.
  • Minimum 2+ years of experience designing, building, and enhancing high-performance pipelines (ETL/ELT) and building optimized Data Marts across the enterprise.
  • Minimum 2+ years of deep technical experience within a Databricks-centric environment leveraging Delta Lake, Spark, Unity Catalog, and Delta Live Tables.
  • Proven experience implementing robust data quality, testing, and monitoring frameworks.
  • Experience with CI/CD pipelines and source code control.

Responsibilities

  • Ingest data and maintain reliable pipelines across batch and real-time streaming, ensuring high availability of feeds.
  • Deliver query-ready Gold-layer data marts and dimensional models by partnering with analytics teams.
  • Implement automated data validation gates to protect data lake integrity at ingestion.
  • Develop automated data quality test suites and monitoring for key transformations.
  • Document schemas, metadata tags, and data assets for governance and discoverability.
  • Collaborate with downstream teams and resolve data discrepancies to support analysts and data scientists.

Skills

ETL/ELT pipelines
Databricks
Data modeling
Data quality
CI/CD
Observability
Agile

Education

Bachelor's degree in CS or related field

Tools

Delta Lake
Apache Spark
Unity Catalog
Delta Live Tables
Azure DevOps
GitHub Actions

Job description

Trupanion is hiring a Data Engineer to design, build, and optimize data systems on a Databricks Lakehouse hosted in Azure. You will focus on reliable data ingestion, gold-layer data marts, and data quality governance.

The role emphasizes collaboration with analytics teams and a strong focus on data accuracy and auditable pipelines. The position supports a nationwide search with a preference for Seattle or East Coast time zones and offers a hybrid schedule with in-office presence at least three

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