ZipRecruiter

Log In

1

Data Engineer Jobs in Kenmore, WA (NOW HIRING)

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.

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 ...

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 ...

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 · On-site

$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 · 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 ...

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 ...

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 ...

The Walt Disney Company

Sr Data Engineer

Seattle, WA · On-site

$148K - $199K/yr

Job Posting Title: Sr Data Engineer Req ID: 10145881 The Senior Data Engineer will design, build, and operate scalable data pipelines and data products in AWS and Snowflake that power analytics ...

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 ...

INSPYR Solutions

Data Engineer

Redmond, WA · On-site

$70 - $80/hr

Data Engineer Location: Redmond, WA Duration: 8 month contract, long-term/reoccurring extensions & conversion to FTE possible Compensation: $70/hr - $80/hr Work Requirements: Export Control ...

Microsoft

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Experience supporting Data Engineering, Analytics, AI, or Business Intelligence environments. * Experience with CI/CD pipelines, GitHub, Azure DevOps, and automation frameworks. * Experience with ...

Microsoft

Data Engineer II

Redmond, WA · On-site

$128K - $154K/yr

As a Data Engineer II , you will build, operate, and evolve data platforms that transform large volumes of operational and business data into trusted, actionable insights. You will work with product ...

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 Kenmore, WA

Data Engineer information

See Kenmore, WA salary details

$49.3K

$143.6K

$196.5K

How much do data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data engineer in Kenmore, WA is $143,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,700.00 and $152,200.00 per year, depending on experience, location, and employer.

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 is a data engineer?

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What cities near Kenmore, WA are hiring for Data Engineer jobs? Cities near Kenmore, WA with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Kenmore, WA as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $143,574 per year, or $69 per hour.

Data Engineer

Noblesoft Technologies

Seattle, WA • Remote

$117K - $140K/yr

Contractor

Re-posted 8 days ago

Job description

Job Role: 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.
• Build and maintain a metadata-driven Lakehouse architecture with threaded datasets to support multiple consumption patterns.
• Develop agent-specific data lakes and an orchestration layer for an uber-agent that can query across agents to answer customer questions.
• Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics tools.
• Ensure data quality, lineage, and governance across all ingestion and transformation processes.
• Collaborate with product teams to understand data needs and deliver scalable solutions.
• Optimize performance and cost across storage and compute layers.
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, Pipelines, Notebooks)
o Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2
o Power BI and/or other visualization tools
o Azure Functions, Logic Apps, and orchestration frameworks
o SQL, Python and PySpark/Scala
• Experience working with structured and semi-structured data (JSON, XML, CSV, Parquet).
• Proven ability to build metadata-driven architectures and reusable components.
• Familiarity with agent-based architectures and conversational AI integration is a plus.
• Strong understanding of data modeling, data governance, and security best practices.
Preferred Qualifications
• Experience with Azure OpenAI, Copilot Studio, or similar conversational platforms.
• Knowledge of CI/CD pipelines and DevOps practices for data engineering.
• Experience in building multi-tenant data platforms or domain-specific lakes.