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Manager Data Analytics Engineer Jobs in Milton, WA

Hasbro

Manager, Data Analytics

Renton, WA · On-site

Drive data quality and governance standards in partnership with data engineering and BI teams ... We know that great analytics managers don't just build reports - they build teams, ask better ...

Hasbro

Manager, Data Analytics

Renton, WA · On-site

Drive data quality and governance standards in partnership with data engineering and BI teams ... We know that great analytics managers don't just build reports - they build teams, ask better ...

Weyerhauser Co

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... acre is managed with diligence, patience and pride. That's the Weyerhaeuser way. About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and operate the data ...

Weyerhaeuser Company

Data Engineer

Seattle, WA

$130K - $156K/yr

... acre is managed with diligence, patience and pride. That's the Weyerhaeuser way. About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and operate the data ...

ThriftBooks

Senior Analytics Engineer

Seattle, WA · On-site

$112K - $168K/yr

You will make data easy to discover, understand, and trust. Working closely with business analysts, data scientists and engineers, you'll build the analytics foundation that supports reporting ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Milton, WA

Manager Data Analytics Engineer information

See Milton, WA salary details

$47.4K

$138.1K

$188.9K

How much do manager data analytics engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for manager data analytics engineer in Milton, WA is $138,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,900.00 and $146,400.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are popular job titles related to Manager Data Analytics Engineer jobs in Milton, WA?

For Manager Data Analytics Engineer jobs in Milton, WA, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Milton, WA look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Milton, WA are:

What cities near Milton, WA are hiring for Manager Data Analytics Engineer jobs?

Cities near Milton, WA with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you

Data Analytics Engineer

Mutual of Enumclaw Insurance Company

Enumclaw, WA • On-site

$140K - $171K/yr

Other

Re-posted 23 days ago

Job description

Overview
Founded in 1898, Mutual of Enumclaw is a people-first insurer rooted in community, recognized as Washington's Best Company to Work For for the 14th consecutive year, and proudly serving individuals, families, farms, and businesses through local independent agents across the West.
The Data Analytics Engineer bridges the gap between raw data and business insights by designing, building, and governing analytics-ready data assets across the P&C insurance value chain - Underwriting, Actuarial, Claims, Product, Distribution, and Finance - and all lines of business (Personal, Commercial, and Farm). Translating insurance business logic into governed, scalable data models, the Data Analytics Engineer partners with stakeholders to deliver trusted reporting and analytics solutions and plays a key role in advancing Mutual of Enumclaw's Snowflake-based medallion architecture and enabling data-driven decision-making across the company.
Location: Remote, with preference given to those residing in WA, OR, ID, MT, WY, AZ, or UT. (Candidates must be able to work during our core Pacific Standard Time business hours and have high-speed internet - an internet speed test is required.)
Hiring Range: $140,891 - $157,545
Salary Range: $140,891 - $171,631
*The hiring range represents Mutual of Enumclaw's current hiring pay scale for this role. Mutual of Enumclaw reserves the right to modify or update this range any time. Exact compensation may vary based on skills and experience. Compensation is only one part of our entire total rewards package. To see some of the benefits and perks we offer, please click here.
Responsibilities
Supervisory Responsibilities:
  • None.

Responsibilities:
Business Partnership & Delivery
  • Partner with stakeholders across Product, Actuarial, Underwriting, Claims, Finance, and Distribution to gather requirements and define KPIs, reporting needs, and data specifications
  • Design, build, and maintain dashboards, reports, and visualizations in Sigma, Power BI, or equivalent BI platforms that deliver trusted insights to underwriters, actuaries, claims leaders, distribution partners, and executive leadership
  • Translate business needs into scalable data solutions, dashboards, and analyses that support strategic and operational decision-making
  • Support recurring and ad hoc reporting, including financial, operational, and executive reporting

Data Modeling & Engineering
  • Design, build, and maintain data models, transformations, and semantic layers within a Snowflake-based medallion architecture
  • Develop scalable, testable data pipelines using SQL and dbt (or equivalent tools)
  • Integrate data from internal and external sources (e.g., policy systems, Salesforce, HubSpot)
  • Enable self-service analytics by designing semantic layers and certified data products that allow business users to answer their own questions without engineering intervention

Data Governance & Quality
  • Define and enforce data governance standards, including data definitions, access controls, and metadata management
  • Validate and test data outputs to ensure accuracy and reliability
  • Monitor data performance and continuously improve data products based on user feedback

Agile Delivery & Support
  • Collaborate with Product Owners and participate in Agile ceremonies (planning, refinement, sprint reviews)
  • Define acceptance criteria and deliver high-quality data products
  • Provide production support and troubleshoot data/reporting issues as needed

Qualifications
Required Skills/Abilities:
  • P&C insurance industry experience required, with demonstrated understanding of the insurance value chain from underwriting through claims and fluency in core insurance concepts, terminology, and reporting metrics.
  • Strong experience designing, building, and publishing dashboards and reports in Sigma, Power BI, or equivalent BI platforms, including data modeling for self-service consumption required
  • Strong experience with cloud data warehouses (Snowflake preferred) and transformation tools such as dbt
  • Proficiency in SQL; working knowledge of Python or similar scripting languages preferred
  • Solid understanding of dimensional modeling, ELT processes, and modern data architectures (e.g., medallion/lakehouse)
  • Experience building or migrating to a modern data platform (e.g., legacy data warehouse to Snowflake/medallion architecture) preferred.
  • Knowledge of data integration methods (APIs, flat files, semi-structured data) and cloud platforms (AWS or equivalent)
  • Strong communication skills with the ability to translate technical concepts for business audiences
  • Experience working in Agile environments

Education and Experience:
  • Bachelor's degree in data science, computer science, statistics, or a related field (or equivalent experience)
  • 5+ years of experience in data analytics, data engineering, or related roles
  • Experience working with data systems, pipelines, and reporting solutions
  • Experience in P&C insurance and familiarity with insurance data and metrics required (e.g., premium, loss, reserving)
  • Working knowledge of insurance source systems such as Guidewire (PolicyCenter, ClaimCenter, BillingCenter), POINT, Duck Creek, or equivalent policy and claims administration platforms preferred

Physical Requirements:
  • Prolonged periods of sitting at a desk and working on a computer, including video conferencing.

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