ZipRecruiter

Log In

1

Data Engineer Jobs in Redmond, WA (NOW HIRING)

IFG - International Financial Group

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

AI Data Engineer 3 Top IT Firm Type: Contract on W2 Location: Hybrid: Redmond; 3days per week Duration: 18months NO C2C OR 1099 Typical Day in the Role • Purpose of the Team: The purpose of this ...

Dlapiper

Data Engineer

Seattle, WA

$130K - $156K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Senior Data Engineer Location: Remote JD: Key Responsibilities • Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Job Location: Bellevue - Washington Job Type: Contract to Hire * Design build and maintain robust scalable and efficient data pipelines using tools such as Azure Data Factory Databricks ...

Sono Bello

Data Engineer

Bellevue, WA · Hybrid

$125K - $140K/yr

SUMMARY The Data Engineer owns the end-to-end data platform, building high-scale pipelines, optimizing cloud resources, and ensuring that analysts and executives have trusted, timely data. You will ...

Staffingine LLC

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Data Engineer Job Location: Redmond WA Job Type: Contract * Design, develop, and maintain scalable data pipelines using Azure Data Factory, PySpark, and Databricks. * Work with large-scale data lake ...

PitchBook Data

Lead Data Engineer

Seattle, WA

$130K - $156K/yr

Act as a technical mentor and coach a team of data engineers with diverse experience levels * Uplevel the team's capabilities in SQL, Python, data modeling, and system design * Establish coding ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with PySpark * Knowledge of Big Data pipelines, Data Engineering * Working Knowledge of the MSBI stack on ...

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 platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our ...

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 platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our ...

PBK

Data Engineer

Seattle, WA

$130K - $156K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated datasets that power analytics, reporting, and AI initiatives for PBK's Architecture vertical and broader ...

PBK

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated datasets that power analytics, reporting, and AI initiatives for PBK's Architecture vertical and broader ...

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 platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our ...

Vibotek LLC

Data Engineer

Seattle, WA

$130K - $156K/yr

The Data Engineer will be responsible for designing, building, and maintaining robust and scalable data pipelines and infrastructure. This role requires a strong understanding of data warehousing, ET ...

Navtech, Inc.

"Data Engineer"

Seattle, WA · On-site

$130K - $157K/yr

I have an opportunity for "Data Engineer" and looking for a candidate who can join Immediately if you are interested reply me with your updated resume or consultant's contact details and if you could ...

Goli Tech

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Monitor and troubleshoot data engineering-related incidents * Support development and maintenance of relevant documentation * Participate in knowledge transfer activities, issues, and risks ...

Zortech Solutions

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Skills required: * Cosmos SQL experience Azure Power BI * Knowledge of Azure Data Factory ADLS * Individuals with strong technical background in SQL SQL Server data engineering BI Kusto ...

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

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 ...

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 ...

next page

Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Redmond, WA

Data Engineer information

See Redmond, WA salary details

$49.8K

$145.3K

$198.8K

How much do data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data engineer in Redmond, WA is $145,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,200.00 and $154,000.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

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 strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Redmond, WA? The most popular types of Data Engineer jobs in Redmond, WA are:
What are popular job titles related to Data Engineer jobs in Redmond, WA? For Data Engineer jobs in Redmond, WA, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Redmond, WA look for? The top searched job categories for Data Engineer jobs in Redmond, WA are:
What cities near Redmond, WA are hiring for Data Engineer jobs? Cities near Redmond, WA with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Redmond, WA as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $145,276 per year, or $69.8 per hour.

Data Engineer

IFG - International Financial Group

Redmond, WA • On-site

$128K - $154K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Description:

Position Title: AI Data Engineer 3

Top IT Firm

Type: Contract on W2

Location: Hybrid: Redmond; 3days per week

Duration: 18months

NO C2C OR 1099


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.


Hard Skills Assessments

• Expected Dates that Hard Skills Assessments will be scheduled: ASAP

• Hard Skills Assessment Process: The assessment process will include 1 round with sponsor.

• Required Candidate Preparation:



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.


Explain a typical day in the role.:

Design, develop, and maintain telemetry reporting, analytics, automation, and AI-assisted solutions. Build Power BI reports and Grafana dashboards, develop Kusto queries and data models, integrate enterprise data sources, develop automation and reporting & analytics agent components, validate production solutions, and troubleshoot production issues.

What is the ideal background of a candidate for this role?:

Strong experience developing reporting, analytics, automation, and data solutions using Power BI, Grafana, SQL, Kusto or similar analytics platforms, Python, PowerShell or C#, data modeling, ETL/data pipelines, Azure DevOps, and AI-assisted reporting & analytics agent components. Experience with telemetry, monitoring, or operational systems is preferred.


**Top 3 Must-Have HARD Skills**


**1. Reporting & Analytics** — **5+ years**

* Power BI

* Data Modeling

* DAX

* Grafana or similar reporting platforms

* HTML/Web-based reports


**2. Automation, AI & Agentic Solutions** — **3+ years**

* Python

* C#

* PowerShell

* AI-assisted engineering

* Agentic platforms / Copilot agents

* Automated report generation


**3. Data Engineering** — **5+ years**

* SQL

* ETL / data pipelines

* Azure Data Explorer (Kusto) or similar cloud analytics platforms


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.


In conclusion, don't miss out on this exciting opportunity to join our team and make a meaningful impact! Apply today! 🤝👍✉️ Please feel free to drop in your resume at Harshiv@ifgpr.com.


Thanks

Apply