Data Engineering Manager

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 highquality 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 SOXrelated 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 crossteam 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 longterm evolution of the enterprise data ecosystem. 

Qualifications: 

• Bachelors 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 $130000- $140000 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 Trupanions 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 more about how Trupanion has revolutionized our industry and the reimbursement model: 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.

Remote Work :

No

Employment Type :

Full-time