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Manager Data Engineering Jobs in Issaquah, WA (NOW HIRING)

BakerHostetler

Data Solutions Engineer

Seattle, WA

$130K - $156K/yr

... data management • Medallion architecture design patterns using Delta Lake (bronze, silver, gold layers) • Microsoft Fabric, including Lakehouse, Data Engineering, and Real-Time Analytics • ...

Fred Hutchinson Cancer Center

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

Lead efforts to improve processes and meet strategic goals for data engineering, data management, infrastructure management, infrastructure automation, and platform reliability. * Proactively ...

Pwc

Data Engineer - Senior Manager

Seattle, WA

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Russell Investments

Data Platform Engineer II

Seattle, WA · On-site

$105K - $130K/yr

Your Expertise * 3-5+ years of Data Engineering experience required * Prior experience of working in Finance domain (Investment bank, Asset Management firm, Hedge Fund) * Bachelor's degree in ...

Dlapiper

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... data engineering practice) to deliver analytics-ready data. * Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field ...

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Showing results 41-60

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Issaquah, WA

Manager Data Engineering information

See Issaquah, WA salary details

$35.8K

$112K

$198.4K

How much do manager data engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manager data engineering in Issaquah, WA is $112,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $144,700.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

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

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the most commonly searched types of Data Engineering jobs in Issaquah, WA?

The most popular types of Data Engineering jobs in Issaquah, WA are:

What are popular job titles related to Manager Data Engineering jobs in Issaquah, WA?

For Manager Data Engineering jobs in Issaquah, WA, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Issaquah, WA look for?

The top searched job categories for Manager Data Engineering jobs in Issaquah, WA are:

What cities near Issaquah, WA are hiring for Manager Data Engineering jobs?

Cities near Issaquah, WA with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Issaquah, WA as of July 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $112,041 per year, or $53.9 per hour.

Data Engineer Azure Cloud & Enterprise Data Solutions

The AES Group

Seattle, WA • On-site

$130K - $156K/yr

Contractor

Re-posted 28 days ago

Job description

Job Title: Data Engineer – Azure Cloud & Enterprise Data Solutions
Location: Remote - USA (EST)

Why Join Us?

  • Work on high-impact cloud data initiatives
  • Engage with agile teams and cross-functional stakeholders
  • Opportunities to influence architecture and governance processes

About the Role

We are hiring a Senior Azure Data Engineer to support analytics and modernization projects for a major Client. This role requires deep expertise in Azure data services, strong hands-on skills in ETL/ELT pipeline development, and a solid background in data governance.

Key Responsibilities

  • Design, build, and maintain data pipelines using Azure Data Factory, Azure Databricks, and Synapse Analytics
  • Develop scalable ETL/ELT workflows with Python, SQL, and Apache Spark
  • Implement robust data models aligned to enterprise architecture standards
  • Engineer analytics and data integration pipelines in cloud/hybrid environments
  • Support data governance efforts including metadata management, data lineage, and cataloging
  • Drive data quality and compliance across regulated domains (healthcare, finance, or federal environments)
  • Collaborate in Agile teams and contribute to CI/CD pipelines via Azure DevOps

Required Skills & Experience

  • 10+ years of experience in data engineering, including 5+ years on Azure
  • Proven expertise in:
    • Azure Data Factory
    • Databricks
    • Azure Synapse
    • Apache Spark, SQL, and Python
  • Strong background in building cloud-native data solutions and modeling complex data sets
  • Experience in regulated or federal data environments
  • Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)
  • Excellent communication and stakeholder management skills

Nice to Have

  • Familiarity with Azure DevOps and CI/CD automation
  • Experience authoring secure, scalable ETL workflows in compliance-focused environments
  • Ability to lead and normalize data structures for enterprise use
  • Strong knowledge of data cataloging, lineage tracking, and data governance best practices
  • Passion for documentation, standards, and continuous improvement

Ready to build the future of data-driven solutions? Apply now and be part of something impactful!