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Data Engineering Manager

Reads like a Data Leadership role: running a data team.

Pay
$130,000–140,000/year · BaseAnnual period assumed — pay source
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.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to work in the USApplicants must be authorized to work for any employer in the US We are unable to sponsor or take over sponsorship of an employment visa at this time

What you’ll work on

Full posting
  • Set team priorities and assign work to keep data delivery reliable and on time

  • Own operational health of data platforms, including incidents, root-cause analysis, and SLAs

  • Oversee ETL/ELT pipelines, integrations, and streaming solutions

  • Align data engineering work with Data Analytics, Data Science, and business stakeholders

  • Mentor and develop data engineers

From the employer’s posting
Lead and manage the Data Engineering team by setting priorities, assigning work, and supporting day-to-day execution
Own the operational health of enterprise data platforms and pipelines, including availability, performance, data freshness, incident response, root-cause analysis
Ensure the design, development, and maintenance of scalable, high‑quality data pipelines, including ETL/ELT processes, data integrations, and streaming and big data solutions.
Partner closely with Data Analytics, Data Science, and business stakeholders to align data engineering initiatives with organizational goals
Mentor and develop data engineers by providing technical guidance, feedback, and growth opportunities

What you’ll bring

All qualifications

Core experience

  • Bachelor’s level degree in Computer Science, Engineering, or appropriate work experience required
  • 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)
  • 3+ years of experience leading, managing, or providing technical leadership to data engineering teams, including coaching engineers and managing delivery across multiple concurrent initiatives.
  • Experience with Microsoft Azure IaaS & PaaS solutions
  • 5+ years of experience designing, building, and enhancing ETL processes for data warehousing, data marts, data integrations, data analysis across the enterprise
  • Experience driving towards Continuous Delivery while valuing and maintaining a strong attention to detail

Preferred experience

  • Experience with similar tools in a Linux/AWS environment a plus.
Qualification wording
Bachelor’s level degree in Computer Science, Engineering, or appropriate work experience required
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)
3+ years of experience leading, managing, or providing technical leadership to data engineering teams, including coaching engineers and managing delivery across multiple concurrent initiatives.
Experience with Microsoft Azure IaaS & PaaS solutions
5+ years of experience designing, building, and enhancing ETL processes for data warehousing, data marts, data integrations, data analysis across the enterprise
Experience driving towards Continuous Delivery while valuing and maintaining a strong attention to detail
Experience with similar tools in a Linux/AWS environment a plus.
Education & alternatives
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.

Benefits in the posting

Full benefits wording
  • 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
  • Free medical health insurance for your pet (1 dog or cat)
  • Paid time off to volunteer at nonprofit organizations

From the employer’s posting.

Apply at Trupanion

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$130K–$140K against $154K–$225K, the middle half of what similar US postings state.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 7 and day 53.

From 7,797 similar postings that came down. Coming down is not always a hire.

Trupanion is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • Spark
  • SQL Server
  • PySpark
Where the posting names them
- 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:
- 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.
- 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.
- 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
- 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

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Job description

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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.  

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.

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. 

Source details

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Pay
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.
Location & working pattern

Seattle, United States

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:
More source context
- 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
Work authorization
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. Company Description

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