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Weekend Ai Data Engineer 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

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 ...

Team Red Dog

AI Data Engineer 3

Redmond, WA

$128K - $154K/yr

Team Red Dog is building a pipeline of qualified candidates for an anticipated AI Data Engineer 3 opening with one of our long-term enterprise technology clients. This opportunity is expected to ...

Team Red Dog

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

Team Red Dog is building a pipeline of qualified candidates for an anticipated AI Data Engineer 3 opening with one of our long-term enterprise technology clients. This opportunity is expected to ...

eTeam

AI & Data - Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Job Summary : eTeam is looking for a Data Engineer specializing in AI and Data. The role involves ingesting and processing data from various sources, building and maintaining data pipelines, and ...

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 ...

Vibotek LLC

Data Engineer

Seattle, WA

$130K - $156K/yr

The Data Engineer will be responsible for designing, building, and maintaining robust and scalable ... Build and maintain pipelines in Databricks, DBT, and Snowflake to deliver curated datasets for AI ...

Aquent

AI Data Engineer 3

Redmond, WA · On-site

$70 - $77/hr

Collaborate with engineering, operations, program management, and leadership to define data requirements and develop reporting and analytics solutions that inform strategic decisions. * Analyze ...

Deloitte

AI Engineer Consultant

Seattle, WA · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Vibotek LLC

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Vibotek LLC is a technology company seeking a Data Engineer. The role involves ingesting and ... AI and machine learning applications. Responsibilities : • Ingest and process data from ...

Deloitte

Lead Generative AI Data Engineer III

Seattle, WA

$116K - $153K/yr

Work You'll Do As a Lead AI and Data Science Engineer II on the team, you will be responsible for: * Lead the design, development, testing, and deployment of machine learning and artificial ...

OTSI

AI & Data Solutions Architect

Seattle, WA · Remote

Provide technical leadership to global development and data engineering teams. Serve as the ... Advanced AI Strategy: Design robust AI/ML solutions that advance beyond foundational LLM ...

Deloitte

Agentic AI, AI & Data Science Engineer

Seattle, WA · On-site

$130K - $156K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. Working within an ...

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All JobsAi Data Engineer JobsWeekend Ai Data Engineer JobsWeekend Ai Data Engineer Jobs in Seattle, WA

Weekend Ai Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do weekend ai data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for weekend ai data engineer in Seattle, WA is $147,621.00, 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 Weekend Ai Data Engineer vs Weekend Data Engineer?

AspectWeekend Ai Data EngineerWeekend Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; familiarity with AI/ML toolsBachelor's in CS, Data Science, or related field; basic data engineering skills
Work EnvironmentProjects involving AI/ML models, data pipelines for AI applicationsGeneral data processing, ETL tasks, data pipeline setup
Employer & Industry UsageTech companies, AI startups, research institutionsVarious industries including finance, healthcare, e-commerce
Common Search & ComparisonOften compared for specialization in AI data tasksBroader data engineering roles

The Weekend Ai Data Engineer focuses on building data pipelines and models specifically for AI and machine learning applications, requiring knowledge of AI tools. In contrast, the Weekend Data Engineer handles general data processing tasks across various industries. Both roles share similar educational backgrounds but differ in their focus and project types.

What are the most commonly searched types of Ai Data Engineer jobs in Seattle, WA? The most popular types of Ai Data Engineer jobs in Seattle, WA are:
What are popular job titles related to Weekend Ai Data Engineer jobs in Seattle, WA? For Weekend Ai Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Weekend Ai Data Engineer jobs in Seattle, WA look for? The top searched job categories for Weekend Ai Data Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Weekend Ai Data Engineer jobs? Cities near Seattle, WA with the most Weekend Ai Data Engineer job openings:
Weekend Ai Data Engineer jobs near you
Infographic showing various Weekend Ai Data Engineer job openings in Seattle, WA as of June 2026, with employment types broken down into 66% Full Time, 27% Part Time, and 7% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

AI Data Engineer

1 point system

Redmond, WA • On-site

$128K - $154K/yr

Contractor

Re-posted 4 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.