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Data Engineer Jobs in Maple Valley, WA (NOW HIRING)

Data Engineer IV

Seattle, WA ยท On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer IV is a senior member of the Office of the Chief Data Office (OCDO) Data Engineering team leading the development of new translational data infrastructure, integrations, and user ...

Data Engineer

Redmond, WA ยท On-site

$80 - $85/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Demonstrated ability to integrate enterprise data sources and develop SQL queries, ETL processes, and data pipelines. * Proficiency in scripting/programming languages such as Python, PowerShell, or ...

Principal Data Engineer

Redmond, WA ยท On-site

$128K - $154K/yr

Principal Data Engineer Position Description: Protingent Staffing has an exciting direct-hire opportunity for a Principal Data Engineer Job Responsibilities: * Lead the implementation of Snowflake ...

Data Engineer IV

Seattle, WA ยท On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer IV is a senior member of the Office of the Chief Data Office (OCDO) Data Engineering team leading the development of new translational data infrastructure, integrations, and user ...

Data Engineer

Redmond, WA ยท On-site

$128K - $154K/yr

Company Description Vignesh KRG Technologies Inc. 661 367 8000 *405 vignesh.c at krgtech.com 5-8 years' experience as a technical analyst or data analyst, in an engineering or technology operations ...

Data Engineer II

Bellevue, WA ยท On-site

$144K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer II Bellevue, WA -Ads - Full time - R30286 What you'll do: * Own the design, development, and maintenance of our end-to end data pipelines. * Tackle complex data issues to provide ...

Data Engineer

Tacoma, WA ยท On-site

$123K - $147K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

AI Data Engineer 3

Redmond, WA

$128K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

AI Data Engineer 3

Redmond, WA ยท On-site

$128K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

Lead Data Engineer - R01568940

Seattle, WA ยท On-site

$130K - $156K/yr

Lead Data Engineer Primary Skills * AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions Specialization * Azure Data Engineering Advanced: Senior Data Engineer Job requirements * Data Engineer:

Data Engineer, SPTC

Seattle, WA ยท On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for an exceptional data engineer to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel Sellers' trust in Amazon is our top priority ...

Data Engineer - Manager

Seattle, WA ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Data Engineer - Senior Associate

Seattle, WA ยท On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer - Senior Manager

Seattle, WA ยท On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Showing results 21-40

Data Engineer information

See Maple Valley, WA salary details

$51.5K

$150.1K

$205.3K

How much do data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data engineer in Maple Valley, WA is $150,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,500.00 and $159,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.

What are the most commonly searched types of Data Engineer jobs in Maple Valley, WA?

The most popular types of Data Engineer jobs in Maple Valley, WA are:

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

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

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

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

Infographic showing various Data Engineer job openings in Maple Valley, WA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $150,065 per year, or $72.1 per hour.

$130K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Overview

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.

TheData Engineer IVis a senior member of the Office of the Chief Data Office (OCDO)ย Data Engineering team leading the development of new translational data infrastructure, integrations, and user-facing applications. This role combines deep data engineering expertise in the Databricks Lakehouse ecosystem with hands-on experience in designing and operatingcloud infrastructure-as-code (IaC)onAWSusingTerraform.ย 

This engineer will be responsible for ensuring data pipelines, compute infrastructure, and security architecture are aligned, reproducible, and cost-efficient. The ideal candidate will lead by example in engineering excellence, reliability, and collaboration, helping the team scale data services for research and clinical innovation in a secure, compliant, and responsive environment.

Responsibilities
  • Lead the research, design, and development of data solutions to address analytical, research, and clinical data requirements, ensuring system scalability, security, performance and reliability.
  • Design and maintain data applications such as interfaces, ingestion pipelines, data transfer mechanisms and data partition strategies using Databricks, Delta Lake, Unity Catalog, and related cloud technologies to enable efficient access of data structures.
  • Develop prototypes and pilot new data engineering solutions to determine their viability for adoption and long-term operational support.
  • Lead the planning process around future growth scalability, and optimization of data solutions.
  • Establish and support data standards, governance practices, lineage tracking, and data quality processes.
  • Lead efforts to improve processes and meet strategic goals for data engineering, data management, infrastructure management, infrastructure automation, and platform reliability.
  • Proactively identify issues, troubleshoot and tune data solutions for scientific computing.
  • Work with internal stakeholders to correctly scope, define, implement, and deliver data platform solutions.
  • Prepare and present technical information on data solutions to all levels of stakeholders.
  • Independently organize and manage multiple complex projects, priorities, and technical initiatives simultaneously.
  • Prepare and maintain written technical design specifications, flow charts and data flow diagrams as needed for new and existing applications.
Qualifications

MINIMUM QUALIFICATIONS:

  • BS in Computer Science, Engineering or equivalent experience.
  • Minimum of 10 years of experience with various database platforms, reporting tools, and data structures.
  • Minimum of 10 years of experience with database design and ETL development.
  • Minimum of 10 years of experience in technical leadership.
  • Proficient in one or more scripting language.
  • In-depth knowledge and expertise of database technologies, along with solid programming, design and system analysis skills.
  • Proven track record researching, implementing and socializing technical solutions.

PREFERRED QUALIFICATIONS:

  • Advanced skills using and collaborating on code development using git/GitHub and deep familiarity with SDLC processes and implementation.ย 
  • CI/CD automation experience including testing and environment promotion for data pipelines.ย 
  • Proven experience designing and operatingDatabricks based pipelines (Delta Lake, Jobs/Workflows, DLT).ย 
  • Proficiencyย inAWSservices (S3, IAM, Lambda, EC2, networking) and pipeline troubleshooting.ย 
  • Strong debugging, cost-performance tuning, and incident remediation skills.ย 
  • Experience mentoring engineers, leading design sessions, andย demonstratedย ownership and reliability of data engineering implementations.ย 
  • Deep familiarity withDatabricks-AWS integrations, including Terraform-based cluster management and policy enforcement.
  • Experience in regulated or healthcare environments (e.g., HIPAA, FHIR, OMOP).ย 
  • Familiarity withdata governance, lineage, and observability tools(e.g., Great Expectations, Monte Carlo).ย 
  • Hands-on experience withTerraformor otherย IaCย tools for infrastructure management.ย 
  • Experience withAirflow,ย dbt, orย Dagsterfor orchestration and transformation design.ย 

The annual base salary range for this position is from $133,328 to $210,725, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).

Additional InformationWe are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.Employment Type: FULL_TIME