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Data Engineer 1 Jobs in Seattle, 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 Skills 1. Reporting & Analytics - 5+ Years * Minimum 5 years of experience designing and developing ...

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Top 3 Must-Have Hard Skills 1. Reporting & Analytics - 5+ Years * Minimum 5 years of experience ... Minimum 5 years of experience in data engineering and data integration. * Strong proficiency in SQL ...

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 ...

PitchBook Data

Lead Data Engineer

Seattle, WA

$130K - $156K/yr

... one. That's why we offer specialized training and a mentorship program that is tailored ... Act as a technical mentor and coach a team of data engineers with diverse experience levels

Shannon & Wilson Inc

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data ... Sick leave accrues based on state requirements * 9 paid holidays per year + 1 personal holiday

Shannon & Wilson Inc

Data Engineer

Seattle, WA

$90K - $120K/yr

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data ... Sick leave accrues based on state requirements * 9 paid holidays per year + 1 personal holiday

Shannon & Wilson, Inc.

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data ... Sick leave accrues based on state requirements * 9 paid holidays per year + 1 personal holiday

Zortech Solutions

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

However, If you are not in the job market, feel free to forward this position to some one you may know to be a good fit for this role. * Data Engineer Skills required: * Cosmos SQL experience Azure ...

CyberProof

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Required : • Graduation Year: 2024, 2025 or 2026 • GPA: 3.5 • Experience: 1+ years • ... data engineering or software engineering experience, including internships and academic project ...

Microsoft

Data Engineer II

Redmond, WA · On-site

$128K - $154K/yr

Experience with SQL and one or more modern data engineering technologies such as Spark, Python, PySpark, Scala, data warehouses, or cloud-based data platforms. * Experience working with business ...

New

Amazon

Data Engineer II- AMZ26497.1

Seattle, WA · On-site

$144K - $178K/yr

Data Engineer II Location: Seattle, WA Multiple Positions Available: Design, develop, implement ... Must have one year of experience in the following skill(s): (1) developing and operating large ...

Fred Hutchinson Cancer Center

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

The Data Engineer IV is a senior member of the Office of the Chief Data Office (OCDO) Data ... Proficient in one or more scripting language. * In-depth knowledge and expertise of database ...

Microsoft

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Overview Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the ... or related field AND 1+ year(s) experience in business analytics, data science, software ...

Bespoke Labs

Data Engineer

Tacoma, WA · On-site

$123K - $147K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Aquent

Data Engineer

Redmond, WA · On-site

$80 - $85/hr

... data pipelines. * Proficiency in scripting/programming languages such as Python, PowerShell, or C# ... We're about creating an inclusive environment-one where different backgrounds, experiences, and ...

1 point system

Ex Amazon Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Role Overview This role supports a compliance solutions team by combining data engineering and software engineering responsibilities. You will build data pipelines, backend services, and analytics ...

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Showing results 1-20

All JobsData Engineer 1 JobsData Engineer 1 Jobs in Seattle, WA

Data Engineer 1 information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do data engineer 1 jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data engineer 1 in Seattle, WA is $147,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer 1 vs Data Engineer 2?

AspectData Engineer 1Data Engineer 2
Required CredentialsBachelor's degree in CS, IT, or related field; some experience with SQL, Python, and cloud platformsSimilar credentials, often with 1-3 years of experience and additional certifications
Work EnvironmentEntry-level role, often in team-based projects, supporting data pipelines and infrastructureMid-level role with increased responsibilities, handling complex data systems and optimization
Employer & Industry UsageCommon in tech, finance, healthcare, and retail industriesSimilar industries, with a focus on scaling data solutions and performance

Data Engineer 1 typically represents an entry-level position focused on supporting data infrastructure, while Data Engineer 2 involves more responsibility and experience. Both roles share similar credentials and industry usage, but Data Engineer 2 handles more complex tasks and system optimization.

What is a Data Engineer?

A Data Engineer is a professional responsible for designing, building, and maintaining systems and infrastructure that collect, store, and process large volumes of data. They develop data pipelines, ensure data quality and integrity, and optimize data workflows for analytics and business intelligence. Data Engineers work closely with data scientists, analysts, and other stakeholders to make data accessible, reliable, and usable for various organizational needs.

What are some common challenges faced by entry-level Data Engineers, and how can they be addressed?

Entry-level Data Engineers often encounter challenges such as managing large volumes of data, learning new data pipeline tools, and adapting to evolving data architectures. Collaborating effectively with data scientists and analysts can also be challenging due to differing technical backgrounds and priorities. To overcome these, it's helpful to seek mentorship from experienced team members, proactively ask questions, and regularly participate in code reviews. Familiarizing yourself with the company's data infrastructure and staying updated on best practices can also ease the transition into the role.

What is data engineer 1?

A Data Engineer 1 is an entry-level professional responsible for designing, building, and maintaining data pipelines and infrastructure. They typically work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and reporting. Strong programming skills and understanding of databases are essential for this role.

What are the key skills and qualifications needed to thrive as a Data Engineer 1, and why are they important?

To thrive as a Data Engineer 1, you need a solid understanding of database management, SQL, data modeling, and a bachelor's degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, and big data frameworks such as Hadoop or Spark is typically required. Strong problem-solving skills, attention to detail, and effective communication help you work efficiently with teams and handle complex data challenges. These skills and qualities are crucial for building reliable data pipelines and supporting data-driven decision making within organizations.

Can I make 200K as a data engineer?

Data engineers can earn 200K or more annually, especially with several years of experience, advanced skills in tools like Spark or Hadoop, and in high-demand industries or regions. Salaries vary based on location, company size, and expertise, with senior roles and specialized skills commanding higher pay.

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn $300,000 or more annually, especially in high-cost-of-living areas or within top-tier companies. Achieving this level often requires expertise in cloud platforms, distributed systems, and leadership roles.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require several years of experience and expertise in cloud platforms, data architecture, and programming languages like Python or Scala.
What are popular job titles related to Data Engineer 1 jobs in Seattle, WA? For Data Engineer 1 jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Engineer 1 jobs in Seattle, WA look for? The top searched job categories for Data Engineer 1 jobs in Seattle, WA are:
Data Engineer 1 jobs near you
Infographic showing various Data Engineer 1 job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 19% Part Time, and 8% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $147,618 per year, or $71 per hour.

AI Data Engineer

1 point system

Redmond, WA • On-site

$128K - $154K/yr

Contractor

Re-posted 27 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.