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Industrial Data Engineer Jobs in Renton, WA (NOW HIRING)

Reply

Senior Data Platform Engineer

Seattle, WA · On-site

$135K - $155K/yr

Leading with platform engineering - and with data engineering as the assumed foundation - the ... Reply is a network of highly specialized companies supporting global industrial groups operating in ...

Reply

Senior Data Platform Engineer

Seattle, WA · On-site

$135K - $155K/yr

Leading with platform engineering - and with data engineering as the assumed foundation - the ... Reply is a network of highly specialized companies supporting global industrial groups operating in ...

Weyerhaeuser Company

Data Scientist

Seattle, WA · On-site

We are seeking an experienced Data Scientist to provide technical leadership and passionate about ... feature engineering patterns, and best practices across Industrial AI use cases. * 5 years of ...

Weyerhaeuser Company

Data Scientist

Seattle, WA · On-site

We are seeking an experienced Data Scientist to provide technical leadership and passionate about ... feature engineering patterns, and best practices across Industrial AI use cases. * 5 years of ...

Weyerhaeuser

Data Scientist

Seattle, WA · On-site

We are seeking an experienced Data Scientist to provide technical leadership and passionate about ... libraries, feature engineering patterns, and best practices across Industrial AI use cases.

Lincoln Property Company

Building Engineer

Seattle, WA · On-site

$30 - $33/hr

The Building Engineer I is responsible for maintaining, operating, and troubleshooting building ... industrial, data center, production studio, healthcare, government, universities, sports and ...

Lincoln Property Company

Building Engineer

Seattle, WA · On-site

$30 - $33/hr

The Building Engineer I is responsible for maintaining, operating, and troubleshooting building ... industrial, data center, production studio, healthcare, government, universities, sports and ...

Pwc

AI & GenAI Data Scientist - Manager

Seattle, WA · On-site

$99K - $232K/yr

... Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing ... Analytics/Science, Artificial Intelligence and Robotics - At least one of the following:

Reply

Manager, Data Engineering

Seattle, WA · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ... Reply is a network of highly specialized companies supporting global industrial groups operating in ...

Reply

Manager, Data Engineering

Seattle, WA

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ... Reply is a network of highly specialized companies supporting global industrial groups operating in ...

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Showing results 41-60

All JobsIndustrial Data Engineer JobsIndustrial Data Engineer Jobs in Renton, WA

Industrial Data Engineer information

See Renton, WA salary details

$40.5K

$93.9K

$130.5K

How much do industrial data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for industrial data engineer in Renton, WA is $93,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,700.00 and $106,300.00 per year, depending on experience, location, and employer.

What is an industrial data engineer?

An Industrial Data Engineer is a professional who designs, develops, and maintains data systems specifically for industrial environments such as manufacturing plants, utilities, or supply chains. They focus on collecting, processing, and analyzing data from industrial equipment and processes to optimize performance, improve efficiency, and support decision-making. Their work often involves integrating data from sensors, control systems, and enterprise platforms, ensuring data quality, and enabling advanced analytics such as predictive maintenance and process optimization.

How does an industrial data engineer typically collaborate with operations and maintenance teams on data-driven projects?

Industrial Data Engineers frequently work closely with operations and maintenance teams to understand equipment performance, process flows, and areas for efficiency improvement. They gather requirements from these teams, design data collection systems, and translate operational challenges into actionable data solutions. Regular communication ensures that the data pipelines and analytics they develop are practical and directly support production goals. This collaboration not only improves asset reliability and process optimization but also helps data engineers gain valuable domain knowledge to drive impactful insights.

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

To thrive as an Industrial Data Engineer, you need strong expertise in data engineering, industrial automation, and programming languages such as Python or SQL, usually supported by a degree in engineering, computer science, or a related field. Familiarity with industrial IoT systems, SCADA, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Azure Data Engineer are typically required. Excellent problem-solving, communication, and teamwork skills help you work effectively with multidisciplinary teams and stakeholders. These skills are essential for designing robust data pipelines and analytics solutions that optimize manufacturing processes and drive operational efficiency.

What is the difference between Industrial Data Engineer vs Data Analyst?

AspectIndustrial Data EngineerData Analyst
CredentialsBachelor's in Engineering, Computer Science, or related field; certifications in data engineering or cloud platformsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentIndustrial settings, manufacturing plants, or data centersOffice environments, corporate or business settings
Industry UsageManufacturing, energy, logistics, and industrial sectors

Industrial Data Engineers focus on designing and maintaining data infrastructure for industrial processes, integrating sensor data, and optimizing manufacturing operations. Data Analysts interpret data to generate reports and insights for business decisions. While both roles handle data, Industrial Data Engineers build the systems that Data Analysts use to analyze industrial data effectively.

What are popular job titles related to Industrial Data Engineer jobs in Renton, WA?

For Industrial Data Engineer jobs in Renton, WA, the most frequently searched job titles are:

What job categories do people searching Industrial Data Engineer jobs in Renton, WA look for?

The top searched job categories for Industrial Data Engineer jobs in Renton, WA are:

Industrial Data Engineer jobs near you
Infographic showing various Industrial Data Engineer job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $93,920 per year, or $45.2 per hour.

Senior Data Platform Engineer

Seattle, WA • On-site

Reply
Software Development • 11 - 50 employees
Learn more about Replyexternal

$135K - $155K/yr

Full-time

Posted 11 days ago

Key responsibilities

  • Design, build, and enhance platform capabilities within Databricks and related technologies.

  • Evaluate and adopt emerging platform features and technologies; run self-assessments and research initiatives.

  • Improve governance, automation, observability, security, and operational excellence.

Job description

Valorem Reply, part of the Reply Network, is a leader in Microsoft-based IT solutions. We support and advise our Giant Tech customers in all aspects of Microsoft, and other industry-leading technologies. From designing and developing custom solutions and low-code solutions, to implementing and managing them seamlessly, Valorem Reply helps customers unlock the potential of their IT infrastructure to enable their sales and partner initiatives. 
 

Accelerate your career by working with the largest technology clients in the world. Join this diverse team that thrives on innovation and making a real-world impact.  

This role sits at the intersection of platform engineering, data engineering, and data product development within financial services applications. Leading with platform engineering - and with data engineering as the assumed foundation - the engineer builds reusable platform capabilities and data products that let quantitative researchers discover, access, and consume data across a complex, disparate landscape, and then accelerates the good prototypes to production.
•    Design, build, and enhance platform capabilities within Databricks and related technologies.
•    Evaluate and adopt emerging platform features and technologies; run the self-assessments and technology evaluations research initiatives depend on.
•    Improve governance, automation, observability, security, and operational excellence.
•    Help define the target-state architecture for custom platform.

•    Work through AI agents by default. Use agentic tools to design, build, test, and operate, and know when to trust them versus verify.

Required Skills

•    Hands-on Databricks experience across workspace, notebooks, and jobs, plus building platform capabilities on it (not just using it).
•    Strong Python and SQL.
•    Platform-engineering foundation: infrastructure as code with Terraform and modern CI/CD.
•    Data governance and observability in a managed environment (e.g. Unity Catalog, lineage, monitoring).
•    Strong workflow orchestration experience with Apache Airflow (we use Astro / Astronomer).
•    Building and operating data pipelines that integrate disparate, heterogeneous data sources.
•    Building reusable, self-service data products for non-engineer end users (researchers/analysts).
•    An AI-first mindset: fluent with agentic coding tools (e.g. Claude Code) and eager to make them central to how the team works.
About Reply
 
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
 
The base compensation range for this full-time position is between $135,000 - $155,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.
 
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.