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Senior Program Manager - CICADAS
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Senior Technical Product Manager
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Controls Program Manager
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…facilitating the execution of New Product Introduction (NPI) engineering development programs through all phases of the Gas Power product life cycle. As a key leadership position within the…

Trupanion

Data Engineering Manager

Seattle, United States

$130,000 to $140,000 USD / year

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Job details

Pay: $130,000 to $140,000 USD / year
Experience: 5+ years of experience designing, building, and enhancing ETL processes for data warehousing, data marts, data integrations, data analysis across the enterprise
Posting language: English
Posted: Nov 4, 2026

Original job description

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.

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.

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More about this job

Skills

Data engineering
Data analysis
Communication skills
Incident response
Root cause analysis
Documentation
Process improvement
Data warehousing
Microsoft Azure
SQL
Google Analytics
Databricks
Apache Spark
Regulatory compliance
Agile development
Collaboration
Computer science
Leadership
Coaching
Microsoft SQL Server
Linux
AWS
Change management
CI/CD
Test automation
Python
PySpark
Attention to detail
Agile
Software development

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