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Data Integration Manager Jobs in Maple Valley, WA

Meta

Energy Integration Manager

Bellevue, WA

$160K/yr

Integrate energy data across the org by partnering with data and analytics teams to connect ... that asset management, origination, and wholesale all rely on * Up-level portfolio health ...

Meta

Energy Integration Manager

Seattle, WA

$160K/yr

Integrate energy data across the org by partnering with data and analytics teams to connect ... that asset management, origination, and wholesale all rely on * Up-level portfolio health ...

Proliance Surgeons

Strategy & Integration Partner

Seattle, WA · On-site

$91K - $164K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Managing projects with increased complexity, strategic priority, and/or visibility. These would ... Identifying, gathering, and analyzing all pertinent data, research and/or information necessary to ...

Team Red Dog

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Troubleshoot and resolve data quality, pipeline performance, and integration issues across enterprise systems * Modify and enhance existing databases, ETL processes, and data management systems to ...

Team Red Dog

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... integration issues across enterprise systems • Modify and enhance existing databases, ETL processes, and data management systems to improve scalability and reliability • Perform testing ...

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All JobsData Integration JobsData Integration Manager JobsData Integration Manager Jobs in Maple Valley, WA

Data Integration Manager information

See Maple Valley, WA salary details

$11

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$97

How much do data integration manager jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data integration manager in Maple Valley, WA is $59.79, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $67.31 per hour, depending on experience, location, and employer.

What is a data integration manager?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality and consistency. They often work with tools like ETL (Extract, Transform, Load) processes and require skills in data management, database systems, and project coordination to facilitate seamless data flow across organizations.

What is the difference between Data Integration Manager vs Data Analyst?

AspectData Integration ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications in data management or integration toolsBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentCollaborates with IT teams, data engineers, and business units to oversee data integration processesWorks with business stakeholders to analyze data, generate reports, and support decision-making
Employer & Industry UsageCommon in tech, finance, healthcare, and large enterprises managing complex data systemsWidely used across industries for data-driven roles focusing on insights and reporting

While both roles involve working with data, the Data Integration Manager focuses on overseeing the integration and management of data systems, ensuring data flows correctly across platforms. In contrast, the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong technical skills, but their core responsibilities and focus areas differ significantly.

What are some common challenges a data integration manager faces when coordinating cross-departmental projects?

Data Integration Managers often encounter challenges such as aligning different departments' data standards, managing conflicting priorities, and ensuring data security across systems. Effective communication and strong project management skills are essential for navigating these complexities. Building collaborative relationships and setting clear expectations early in the project can help streamline data flows and minimize bottlenecks.

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

To thrive as a Data Integration Manager, you need expertise in data management, ETL processes, and a strong understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as experience with cloud platforms and relevant certifications, is typically required. Strong leadership, problem-solving skills, and effective communication help manage cross-functional teams and stakeholder expectations. These skills ensure seamless data flow, system reliability, and successful project delivery in complex data environments.

What job categories do people searching Data Integration Manager jobs in Maple Valley, WA look for?

The top searched job categories for Data Integration Manager jobs in Maple Valley, WA are:

What cities near Maple Valley, WA are hiring for Data Integration Manager jobs?

Cities near Maple Valley, WA with the most Data Integration Manager job openings:

Data Integration Manager jobs near you
Infographic showing various Data Integration Manager job openings in Maple Valley, WA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 17% Part Time, and 1% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $124,365 per year, or $59.8 per hour.

Energy Integration Manager

Meta

Bellevue, WA

$160K/yr

Full-time

Re-posted 19 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Meta's energy footprint is scaling faster than any single team can assess end to end. We have deep specialist strength across data, analytics, asset management, and energy origination — but the connective tissue between them, the shared view of portfolio health, and the operating cadence that turns those signals into procurement decisions are still maturing. This role builds the connective tissue.This is a force-multiplier role for the entire Energy organization: one person owning how our teams' data, decisions, and execution come together into a single, trusted, AI-accelerated view of portfolio health — and using it to unlock faster, sharper, more confident energy procurement at scale. It is explicitly complementary to our specialist teams: it does not replace their judgment or own their functions; it makes each of them faster, more connected, and more visible to leadership.
Energy Integration Manager Responsibilities:
  • Integrate energy data across the org by partnering with data and analytics teams to connect fragmented sources into a coherent, decision-grade portfolio picture — defining the shared data model, definitions, and source of truth that asset management, origination, and wholesale all rely on
  • Up-level portfolio health visibility by taking reporting from periodic and manual to continuous, predictive, and trusted — surfacing risk, exposure, and opportunity early enough to act on, and setting the metrics, cadence, and review forums leadership runs the portfolio by
  • Expand the operating model across all Energy teams by bringing a consistent, lightweight program operating system to data, analytics, asset management, energy origination, and wholesale — ensuring cross-team initiatives have clear ownership, dependencies are visible, and execution doesn't stall at the seams between functions
  • Apply AI to scale the work by standing up AI and agentic tooling that automates portfolio reporting, flags anomalies and risks, drafts decision briefs, and compresses the time from data to insight to procurement action — serving as the org's pathfinder for where AI meaningfully accelerates energy operations
  • Be a thought partner to all energy and partner teams by translating the integrated portfolio view into clear, executive-ready narratives that drive resourcing, prioritization, and procurement strategy for the years ahead

Minimum Qualifications:
  • Demonstrated experience standing up operating cadences, portfolio/health reporting, and governance that leaders actually run their business by
  • Proven track record of leading complex, cross-functional programs or operations in energy and infrastructure
  • Hands-on experience applying AI/automation to operational or analytical work, with sound judgment on where it adds leverage versus where it does not
  • Strong data fluency — comfortable defining metrics and data models, working directly with analytics teams, and turning messy multi-source data into trusted decision-grade reporting
  • Executive communication skills with the ability to distill complexity into crisp narratives for leadership and influence without authority across specialist teams

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Background spanning both technical (data/analytics) and commercial (procurement/origination/wholesale) contexts
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Domain knowledge of large energy portfolio metrics, energy markets, procurement, and the energy origination process
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and familiarity with responsible AI practices including risk assessment and quality reviews
  • Experience driving alignment and operational cohesion across multiple teams by establishing shared processes, visibility, and cross-functional coordination
  • Experience building AI/agentic workflows in a production setting (e.g., automated reporting, anomaly detection, decision-support tooling) with demonstrated ability to optimize/redesign workflows and drive measurable impact

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$160,000/year to $232,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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