Data Engineering Manager

Trupanion; Seattle (WA); Hybrid; USD 130,000 - 140,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

Paid time off & holidays

Sabbatical after five years

Pet-friendly office

Office amenities: gym, parking, ORCA

Job summary

Trupanion seeks a Data Engineering Manager to lead the Data Engineering team, align data initiatives with analytics and business goals, and own the design, delivery, and operation of scalable data pipelines in a hybrid Seattle office setting.

You will collaborate with Data Analytics and Science, implement CI/CD for data workloads, and guide architecture decisions while ensuring data quality, security, and regulatory compliance across enterprise platforms.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or appropriate work experience.
• 3+ years leading data engineering teams, coaching engineers and delivering multiple initiatives.
• 5+ years designing and enhancing ETL processes for data warehousing and enterprise data integration.
• 3+ years with data warehousing in Microsoft/Azure environment using SQL Server, Azure SQL, ADLS Gen2, Synapse, Databricks.
• Experience with Linux/AWS environments is a plus.
• Experience with software/infrastructure change management, release management and source control.
• Experience with CI/CD and automated testing for data engineering workloads.
• Knowledge of modern data architectures (Lakehouse, medallion, dimensional modeling).
• Experience with cloud cost optimization and data governance.

Responsibilities

• Lead and manage the Data Engineering team by setting priorities and supporting day-to-day execution for reliable data delivery.
• Partner with Data Analytics, Data Science, and business stakeholders to align data initiatives with goals.
• Design, develop, and maintain scalable data pipelines including ETL/ELT, data integrations, streaming, and big data solutions.
• Own operational health of enterprise data platforms: availability, performance, incident response, SLAs/SLOs.
• Promote engineering standards, testing, documentation, and operational excellence.
• Improve engineering workflows, delivery processes, and cross-team communication.
• Oversee data warehousing and analytics in Azure: Synapse, Databricks, ADLS Gen2.
• Ensure data accuracy, integrity, and compliance with enterprise standards and SOX controls.
• Manage release management and source control; coordinate deployments.
• Support Agile development with backlog management and sprint execution.
• Mentor data engineers and provide technical guidance for growth.
• Contribute to architecture decisions for long-term data ecosystem evolution.

Skills

SQL

Python

PySpark

CI/CD

Data pipelines

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Azure SQL

Synapse Analytics

ADLS Gen2

Databricks

Spark

SQL Server

Job description

• Compensation: USD 130,000 - USD 140,000 - yearly

Company Description

Trupanion is a leading provider of medical insurance for cats and dogs in North America. Our mission is to help loving, responsible pet owners budget and care for their pets. At Trupanion, we offer a collaborative, casual, and pet-friendly environment where everyone is encouraged to be themselves.

Job Description

The Data Engineering Manager is responsible for leading the Data Engineering team. The role coordinates team priorities, supports execution, ensures high-quality engineering practices, and aligns work with Data Analytics, Data Science, and other stakeholders. The manager helps maintain stable operations while driving improvements in processes, communication, and delivery.

This position is open to candidates in the Seattle, WA area. You will have a hybrid remote/in-office schedule where you will work from our casual, pet-friendly office at least 3 days a week.

Responsibilities

• Lead and manage the Data Engineering team by setting priorities, assigning work, and supporting day-to-day execution to ensure reliable and timely data delivery across the organization.
• Partner closely with Data Analytics, Data Science, and business stakeholders to align data engineering initiatives with organizational goals and analytical needs.
• Ensure the design, development, and maintenance of scalable, high-quality data pipelines, including ETL/ELT processes, data integrations, and streaming and big data solutions.
• Own the operational health of enterprise data platforms and pipelines, including availability, performance, data freshness, incident response, root-cause analysis, capacity planning, and adherence to defined SLAs/SLOs.
• Establish and promote strong engineering standards and best practices, including code quality, testing, documentation, and operational excellence.
• Drive continuous improvement in engineering workflows, delivery processes, and team communication to increase efficiency and predictability.
• Oversee data warehousing and analytics solutions within a Microsoft Azure environment, including technologies such as Azure SQL, Synapse Analytics, ADLS Gen2, Databricks, and Spark.
• Ensure data accuracy, integrity, and compliance with enterprise standards and regulatory requirements, including SOX-related controls where applicable.
• Manage software and infrastructure change processes, including release management, source control practices, and deployment coordination.
• Support Agile development practices by improving sprint execution, backlog management, and cross-team collaboration.
• Identify technical risks and constraints early, elevate issues as needed, and guide the team toward optimal, pragmatic solutions.
• Mentor and develop data engineers by providing technical guidance, feedback, and growth opportunities to build a strong and resilient team.
• Contribute to technology and architecture decisions to support the long-term evolution of the enterprise data ecosystem.

Qualifications

• Bachelor’s level degree in Computer Science, Engineering, or appropriate work experience required
• 3+ years of experience leading, managing, or providing technical leadership to data engineering teams, including coaching engineers and managing delivery across multiple concurrent initiatives.
• 5+ years of experience designing, building, and enhancing ETL processes for data warehousing, data marts, data integrations, data analysis across the enterprise
• 3+ years of technical experience with data warehousing in a Microsoft/Azure environment with the following tools or similar: SQL Server, Azure SQL, Azure Data Lake Storage - ADLS Gen2, Azure Streaming Analytics, DataBricks, DeltaLake, Apache Spark/SparkSQL.
• Experience with similar tools in a Linux/AWS environment a plus.
• Experience required with software and infrastructure change management, release management and source code control
• Experience operating production data platforms with defined SLAs, monitoring, incident management, root‑cause analysis, and performance optimization.
• Experience implementing CI/CD and automated testing practices for data engineering workloads.
• Experience with modern data architecture patterns, including Lakehouse, medallion architecture, dimensional modeling, data warehousing, and batch and real-time processing.
• Experience with cloud cost optimization and capacity management for enterprise data platforms.
• Strong understanding of data governance, security, privacy, metadata, lineage, and role-based access control.
• Strong SQL skills and sufficient hands‑on technical depth in Python, PySpark, or similar languages to provide technical direction and conduct meaningful design/code reviews.

Skills

• Proven experience in leading, designing and implementing data pipelines for a variety of flows (data integrations across systems, ETL/ELT pipelines, streaming analytics, big data analytics)
• Familiar with data accuracy standards, and compliance expectations (including SOX-related work).
• Experience with Microsoft Azure IaaS & PaaS solutions
• Experience driving towards Continuous Delivery while valuing and maintaining a strong attention to detail
• Experience with Agile software development organizations
• An ability to quickly identify and drive to the optimal solution when presented with a series of constraints
• Experience in improving engineering workflows, documentation, and reliability and able to identify and elevate risks early.

Compensation

• The base salaryrange for this position is $130,000 - $140,000on a full-time schedule.
• Along with base compensation, Trupanion employees are currently eligible for monthly bonuses.
• We want all employees to be invested in Trupanion’s success, so we grant Restricted Stock Units to all new team members. Our new hire grants vest over 4 years.

#LI-HYBRID

Additional Information

Benefits and Perks

• Full medical, dental, and vision benefits at no cost to the employee
• Four weeks of paid time off and 9 paid float holidays (you can decide which days are most important to you!)
• Five-week sabbatical after five years of employment
• Open, casual, pet-friendly, and fun office environment
• Free medical health insurance for your pet (1 dog or cat)
• Paid time off to volunteer at nonprofit organizations
• Seattle Office Amenities: Free on‑site gym, free dog walking services for office pets during business hours, free parking, and paid ORCA cards.

Trupanion is an equal‑opportunity employer and embraces diversity. We are committed to building a team that represents a variety of backgrounds, abilities, perspectives, and skills.

We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodations.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.