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Data Engineering Jobs in Kent, WA (NOW HIRING)

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Experience with AI-assisted engineering tools, Copilot/Agentic platforms, and automated report generation. 3. Data Engineering - 5+ Years * Minimum 5 years of experience in data engineering and data ...

Intellisoft Technologies

Data & AI Engineer

Bellevue, WA · On-site

$128K - $154K/yr

The role involves leveraging extensive experience in data engineering to deliver big data projects and implement best practices in data modeling for eCommerce and consumer-facing applications.

VDart Inc

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Apply core data engineering concepts including Slowly Changing Dimensions (SCD Type 2), schema evolution, partitioning, clustering, normalization and denormalization, natural and surrogate keys, and ...

New

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Required Qualifications * 5+ years of experience in data engineering with a focus on Microsoft Azure and Fabric technologies. Strong expertise in: o Microsoft Fabric (Lakehouse, Dataflows Gen2 ...

Dlapiper

Data Engineer

Seattle, WA · Hybrid

$130K - $156K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Dlapiper

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines which transform data into clean, enriched, and ...

Weekday AI

Data Engineer - Finance

Bellevue, WA · On-site

$60 - $85/hr

Collaborate closely with finance and engineering stakeholders to translate business requirements into reliable data infrastructure solutions. * Own end-to-end data quality by identifying ...

Georgia IT, Inc.

NOSQL Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

The role requires extensive experience in data engineering and expertise in NoSQL databases to support data platforms and related projects. Qualifications : Required : • 7+ years of professional ...

QXO

Staff Software Engineer, Data

Seattle, WA · On-site

$130K - $156K/yr

Drive data engineering best practices including Data Discovery, Naming Conventions, Data Quality frameworks, Operational Excellence, and Security standards. * Make architectural trade-offs between ...

QXO

Staff Software Engineer, Data

Seattle, WA · On-site

$175K - $400K/yr

Drive data engineering best practices including Data Discovery, Naming Conventions, Data Quality frameworks, Operational Excellence, and Security standards. * Make architectural trade-offs between ...

CyberProof

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... engineering vertical, executing solution designs and building data models and visualizations under guidance. Responsibilities : • Execute assigned components of solution designs handed off by ...

Hasbro

Manager, Data Platform Engineering

Renton, WA · On-site

This team builds and operates the shared platform that data engineers, analytics engineers, data scientists, and ML engineers depend on every day, and which provides the critical substrate for an AI ...

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Showing results 21-40

All JobsData Engineering JobsData Engineering Jobs in Kent, WA

Data Engineering information

See Kent, WA salary details

$51.9K

$186.3K

$274.9K

How much do data engineering jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data engineering in Kent, WA is $186,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,700.00 and $191,900.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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

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

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

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

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

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

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

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

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Kent, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $186,287 per year, or $89.6 per hour.

AI Data Engineer

Redmond, WA • On-site

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

$128K - $154K/yr

Contractor

Re-posted 13 days ago

Job description

Top 3 Must-Have Hard Skills

 

1. Reporting & Analytics – 5+ Years

  • Minimum 5 years of experience designing and developing reporting and analytics solutions.
  • Hands-on expertise with Power BI, Data Modeling, and DAX.
  • Experience with Grafana or similar reporting/dashboard platforms.
  • Ability to develop and maintain HTML/web-based reports.

2. Automation, AI & Agentic Solutions – 3+ Years

  • Minimum 3 years of experience in automation and AI-driven engineering solutions.
  • Strong programming skills in Python, C#, and PowerShell.
  • Experience with AI-assisted engineering tools, Copilot/Agentic platforms, and automated report generation.

3. Data Engineering – 5+ Years

  • Minimum 5 years of experience in data engineering and data integration.
  • Strong proficiency in SQL, ETL processes, and data pipeline development.

Typical Day in the Role

  • Purpose of the Team: The purpose of this team is to provide telemetry reporting, analytics, automation, and AI-driven insights that improve visibility into service health, availability, and operational performance through dashboards, reporting solutions, and data engineering capabilities.
  • Key projects: This role will contribute to telemetry and service health initiatives by developing reporting, analytics, and automation solutions. Responsibilities include building Power BI reports and Grafana dashboards, creating Kusto-based analytics, supporting telemetry monitoring, and improving data-driven insights related to availability and operational health.

Candidate Requirements

  • Disqualifiers: Candidates with limited or no experience in reporting and analytics, automation, AI-assisted solutions, data engineering, Power BI, Grafana, or Kusto-based data analysis will not be eligible for the role.
  • Best vs. Average: The ideal resume will contain hands-on experience with telemetry and analytics platforms, including Power BI, Grafana, SQL/Kusto, Python, PowerShell, or C#, along with expertise in data engineering, ETL/data pipelines, automation, and AI-assisted reporting solutions. Experience supporting telemetry health, availability monitoring, operational dashboards, and enterprise-scale reporting environments is highly preferred.

Description

The main function of an AI Data Engineer is to design, develop, enhance, validate, maintain, and support telemetry reporting, data solutions, automation, and AI-assisted solutions. The role develops reports, dashboards, data models, automation, reporting & analytics agent components, and supporting data solutions to improve telemetry coverage, telemetry availability, clean telemetry, and telemetry data quality.

 

Job Responsibilities

  • Design, develop, and maintain telemetry reporting, data solutions, automation, and AI-assisted solutions.
  • Design, develop, and enhance Power BI reports, Grafana dashboards, semantic models, and analytics solutions to deliver actionable business insights.
  • Develop and optimize Azure Data Explorer (Kusto/ADX) queries, functions, data models, scheduled tables, materialized tables, snapshot tables, and supporting datasets.
  • Integrate enterprise data sources and develop supporting SQL queries, ETL processes, and data pipelines required for analytics and reporting solutions.
  • Develop automation solutions using Python, PowerShell, C#, or similar scripting/programming languages to automate operational tasks and support business requirements.
  • Develop AI-enabled reporting and analytics agent components, including Copilot Agents, Agency CLI skills, prompt assets, and supporting knowledge files.
  • Validate data quality, business logic, report accuracy, dashboards, and scheduled refreshes to ensure reliable production solutions.
  • Monitor, troubleshoot, and resolve data pipeline, query, reporting, and production issues to maintain solution reliability and performance.
  • Create and maintain technical documentation, reusable components, and engineering best practices to support long-term solution maintainability.
  • Collaborate with cross-functional engineering teams to deliver scalable, high-quality analytics and reporting solutions.