Data Engineering Manager
Company websitetrupanion.com (Trupanion, opens in new tab)
Base salary $130K to $140K
Employer-published annual base salary, USD. Advertised base range in Seattle, WA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSeattle, WA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (45 min ago) · observed since
About this job
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, escalate 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 escalate risks early.
Compensation:
- The base salary range for this position is $130,000 - $140,000 on 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.
For more information about Trupanion, visit https://trupanion.com/about
Learn more about how Trupanion has revolutionized our industry and the reimbursement model: https://www.youtube.com/watch?v=vdWZ4KHiPTQ
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.
Source: Trupanion on SmartRecruiters · View original posting (opens in new tab)
Pay in context
This role's base floor ($130,000) is above 10% of the 1,388 Software Engineering roles in Washington listed on this site; 5 others list the same floor. Their median floor is $143,700; the middle half runs from $143,700 to $168,100.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingData Engineering Manager$130K to $140K
Cybersecurity Analyst$120K to $140K
Cybersecurity Analyst$120K to $140K
Director, Digital Acquisition Marketing$145K to $160K
Senior Platform Engineer - Microsoft$145K to $155K
Program Manager$115K to $125K
Solutions & Platform Architect - Microsoft$145K to $165K
Chart as a table
| Role | Published base |
|---|---|
| Data Engineering Manager (this listing) | $130K - $140K |
| Cybersecurity Analyst | $120K - $140K |
| Cybersecurity Analyst | $120K - $140K |
| Director, Digital Acquisition Marketing | $145K - $160K |
| Senior Platform Engineer - Microsoft | $145K - $155K |
| Program Manager | $115K - $125K |
| Solutions & Platform Architect - Microsoft | $145K - $165K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-11-04
Where this pay comes from
Location as the employer wrote it: Seattle, United States
- The base salary range for this position is $130,000 - $140,000 on a full-time schedule.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
