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.
Reads like a Data Leadership role: running a data team.
Seattle, United States
Actively hiring, first seen by us todayCompensation: 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
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Applicants 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
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
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
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.
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.
From the employer’s posting.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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.
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.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
- 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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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:
Qualifications:
Skills:
Compensation:
Benefits and Perks:
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.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
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:
- 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
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