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Manager Data Analytics Engineer Jobs in Vancouver, WA

Infrastructure Data Analytics Engineer

Gresham, OR

$121K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating ... Infrastructure monitoring platforms * CMDB and asset management systems * Cloud platforms (Azure ...

New

Data Engineer - Manager

Portland, OR

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Technical Architect - Data, Analytics & AI

Hillsboro, OR · Hybrid

$66.25 - $85.25/hr

  • Medical

  • Life

  • Retirement

  • PTO

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Technical Architect - Data, Analytics & AI

Gresham, OR · Hybrid

$67.25 - $86.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Data Engineer - Senior Manager

Portland, OR

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Scientist/Analyst

Vancouver, WA

$90K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Management Quality * Query, clean, transform, and validate data from multiple systems and data ... Analytics, Statistics, Mathematics, Computer Science, Economics, Engineering, or another ...

Data Engineer - Senior Associate

Portland, OR

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Data Governance- Manager

Portland, OR

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

... analytics capabilities, creating epics, user stories, and other assets for architects and engineers ... Support Agile planning, product roadmap management, and risk assessment. Maintain the data platform ...

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Showing results 1-20

Manager Data Analytics Engineer information

See Vancouver, WA salary details

$46.6K

$135.8K

$185.8K

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

As of Aug 14, 2026, the average yearly pay for manager data analytics engineer in Vancouver, WA is $135,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,900.00 and $144,000.00 per year, depending on experience, location, and employer.

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.

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 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.

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

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

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

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

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

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

Infrastructure Data Analytics Engineer

US Bank

Gresham, OR

$121K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 360 frontline employees who took The Breakroom Quiz

51st of 171 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This role combines data engineering, analytics, automation, and operational intelligence to provide actionable insights that support technology strategy, operational excellence, risk management, and executive decision making.

The ideal candidate possesses strong technical skills in SQL, Python, Alteryx, API integration, and data transformation while adhering to software development lifecycle (SDLC) practices, including source code management, testing, deployment, and release management.

Key Responsibilities

Data Acquisition & Integration

  • Design and develop data ingestion processes from multiple sources, including:

    • Infrastructure monitoring platforms

    • CMDB and asset management systems

    • Cloud platforms (Azure, AWS)

    • Enterprise databases

    • REST and GraphQL APIs

    • SaaS and third-party technology platforms

  • Build and maintain scalable ETL/ELT pipelines to acquire, cleanse, transform, validate, and enrich data.

  • Integrate structured and unstructured data from disparate technology systems into centralized analytics platforms.

  • Automate recurring data collection and processing activities.

Data Engineering & Transformation

  • Develop complex SQL queries, stored procedures, views, and data models.

  • Create Python-based solutions for:

    • Data extraction

    • Data transformation

    • Data quality validation

    • Automation workflows

    • API integrations

  • Design and maintain Alteryx workflows for data preparation, blending, and analytics automation.

  • Implement reusable transformation frameworks and standardized data processing patterns.

  • Perform data reconciliation and data quality assurance activities.

Analytics & Reporting

  • Analyze infrastructure and operational data to identify:

    • Trends

    • Risks

    • Performance issues

    • Capacity constraints

    • Optimization opportunities

  • Support executive reporting, operational scorecards, and KPI dashboards.

  • Translate technical findings into business-friendly recommendations and insights.

  • Partner with infrastructure, engineering, operations, and leadership teams to support data-driven decision making.

Automation & API Development

  • Develop API integrations between internal and external platforms.

  • Build automated workflows that reduce manual effort and improve data timeliness.

  • Support near real-time and batch data processing requirements.

  • Create reusable libraries and utilities that accelerate analytics delivery.

SDLC, DevOps & Release Management

  • Follow established Software Development Lifecycle (SDLC) methodologies including Agile delivery practices.

  • Maintain source code in approved repositories (GitHub, GitLab, Azure DevOps, etc.).

  • Utilize branching, pull request, peer review, and merging standards.

  • Develop and maintain CI/CD deployment pipelines.

  • Create and maintain technical documentation, runbooks, and deployment procedures.

  • Participate in release planning, change management, testing, and production deployments.

  • Ensure appropriate version control, auditability, and governance of analytics assets and code.

  • Support incident management and post-release validation activities.

Governance & Compliance

  • Ensure adherence to enterprise data governance, security, and compliance requirements.

  • Maintain data lineage and metadata documentation.

  • Implement controls for data quality, access management, and operational resiliency.

  • Support regulatory and audit requests related to analytics solutions.

Basic Qualifications

  • Bachelor's degree in a related field, or equivalent work experience

  • Five to seven years of statistical and/or data analytics experience

Preferred Qualifications

  • Experience analyzing infrastructure, cloud, or operational technology data.

  • Experience with Power BI, Tableau, or similar visualization platforms.

  • Experience with Azure, AWS, Databricks, Snowflake, or enterprise data platforms.

  • Knowledge of Infrastructure Observability and Monitoring platforms (Datadog, Splunk, Dynatrace, ServiceNow, etc.).

  • Experience with CI/CD tools and release automation.

  • Understanding of data governance, metadata management, and data quality frameworks.

  • Experience supporting enterprise-scale transformation or modernization programs.

Technical Skills

Programming & Analytics

  • SQL (Advanced)

  • Python

  • Alteryx

  • Power BI

  • Excel

Data & Integration

  • REST APIs

  • JSON / XML

  • ETL / ELT

  • Data Modeling

  • Data Quality Management

DevOps & SDLC

  • GitHub / GitLab / Azure DevOps

  • Version Control

  • CI/CD Pipelines

  • Release Management

  • Test Automation

  • Agile & Scrum Methodologies

Infrastructure Knowledge (Preferred)

  • Azure

  • AWS

  • Windows Server

  • Linux

  • Networking Fundamentals

  • CMDB / Asset Management

  • Infrastructure Monitoring Platforms

This position is not eligible for visa sponsorship

Location expectations
This role requires working from a U.S. Bank location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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