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Data Engineer Two Jobs in Everett, WA (NOW HIRING)

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Requirement - AI Data Engineer Location- Redmond WA 98052-Hybrid Contract W2 Top 3 Must-Have Hard ... Ability to develop and maintain HTML/web-based reports. 2. Automation, AI & Agentic Solutions - 3+ ...

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Ability to develop and maintain HTML/web-based reports. 2. Automation, AI & Agentic Solutions - 3+ ... Minimum 5 years of experience in data engineering and data integration. * Strong proficiency in SQL ...

Microsoft Corporation

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Overview Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the ... 2+ years experience in business analytics, data science, software development, data modeling, or ...

New

Weekday AI

Data Engineer - Finance

Bellevue, WA

$60 - $85/hr

Requirements * 2-4 years of professional experience as a Data Engineer . * Strong hands-on experience with PySpark and distributed data processing frameworks. * Advanced SQL skills with experience ...

Microsoft

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Overview Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the ... 2+ years experience in business analytics, data science, software development, data modeling, or ...

Amazon

Data Engineer II, Canada Product & Tech

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're seeking a Data Engineer who thrives on building scalable, reliable data systems that unlock business value. You are expected to architect and build large-scale, high-performance data ...

Microsoft

Software Engineer II

Redmond, WA · On-site

$109K - $149K/yr

Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of ... As a Software Engineer II, this is your opportunity to take on a challenge to build and improve ...

Microsoft

Software Engineer II

Redmond, WA · On-site

$109K - $149K/yr

Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of ... The Observability Site Reliability Team is looking for a Software Engineer II to build and improve ...

Microsoft

Software Engineer II

Redmond, WA · On-site

$102K - $202K/yr

Microsoft's Azure Data engineering team is looking to hire a Software Engineer II. We are leading the transformation of analytics in the world of data with products like databases, data integration ...

Microsoft

Software Engineer II

Redmond, WA · On-site

$109K - $149K/yr

Overview The Microsoft AI - Bing Places Data team is seeking a passionate engineer to accelerate ... We seek a MAI - Search Places - Software Engineer II with a solid passion for technology ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA · On-site

$125K/yr

... 2+ years' experience building cloud hosted data systems. Azure highly preferred. Preferred: · ... engineering use cases (feature engineering, feature stores, model training/serving datasets, and ...

Russell Investments

Data Platform Engineer II

Seattle, WA · On-site

$105K - $130K/yr

  • Medical

  • Retirement

  • PTO

As a Data Platform Engineer, you will lead the design, development, and optimization of scalable data platforms that support enterprise-level warehousing, analytics and reporting. Leveraging your ...

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Showing results 41-60

All JobsData Engineer Two JobsData Engineer Two Jobs in Everett, WA

Data Engineer Two information

See Everett, WA salary details

$49.2K

$143.3K

$196.1K

How much do data engineer two jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data engineer two in Everett, WA is $143,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,500.00 and $151,900.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Two vs Data Engineer One?

AspectData Engineer TwoData Engineer One
Required CredentialsBachelor's degree in Computer Science or related field; experience with cloud platformsSimilar credentials, often entry-level or less experience
Work EnvironmentCollaborates on complex data pipelines, often in team settingsSupports basic data tasks, more independent work
Employer & Industry UsageUsed in tech, finance, healthcare industriesCommon in same industries, often as entry-level roles
Search & Comparison IntentOften searched for by those with some experience seeking advanced rolesTypically searched by entry-level candidates

Data Engineer Two roles generally require more experience and involve handling complex data systems, whereas Data Engineer One positions are more entry-level with simpler responsibilities. Both roles are prevalent across industries like tech, finance, and healthcare, but Data Engineer Two is suited for those with more technical expertise and experience.

What other jobs can a data engineer do?

Data engineers can transition into roles such as data architects, data scientists, machine learning engineers, or analytics managers, leveraging their skills in data pipeline development, database management, and programming. They often work with tools like SQL, Python, and cloud platforms, and may pursue certifications to expand their expertise. These roles typically require strong analytical skills and knowledge of data modeling and infrastructure.

What are popular job titles related to Data Engineer Two jobs in Everett, WA?

For Data Engineer Two jobs in Everett, WA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Two jobs in Everett, WA look for?

The top searched job categories for Data Engineer Two jobs in Everett, WA are:

Data Engineer Two jobs near you
Infographic showing various Data Engineer Two job openings in Everett, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $143,294 per year, or $68.9 per hour.

AI Data Engineer

1 point system

Redmond, WA • On-site

$128K - $154K/yr

Contractor

Re-posted 12 days ago

Job description

Requirement - AI Data Engineer

Location- Redmond WA 98052-Hybrid

Contract W2

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.