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Data Engineer Jobs in Kirkland, WA (NOW HIRING)

Ziply Fiber

Data Engineer

Kirkland, WA · Remote

$70K - $104K/yr

Data Engineer Base Salary: $101,800 to $142,300 annually DOE Benefits: Medical, dental, vision, 401k, flexible spending account, paid sick leave and paid time off, parental leave, quarterly ...

New

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 · On-site

$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

$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 ...

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 ...

Novoco

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

The Data Engineer is responsible for building, operating, and optimizing the organization's analytical data pipelines and platforms. This position develops reliable, scalable, and performant data ...

Spark Tek Inc

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

Job Summary : Spark Tek Inc is a company seeking a Data Engineer with a strong technical background in SQL and data engineering. The role involves designing and implementing data pipelines ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and auditable data systems on our modern Databricks Lakehouse platform hosted in Microsoft Azure. In this ...

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 ...

Trupanion

Data Engineer

Seattle, WA · On-site

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and auditable data systems on our modern Databricks Lakehouse platform hosted in Microsoft Azure. In this ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and auditable data systems on our modern Databricks Lakehouse platform hosted in Microsoft Azure. In this ...

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 ...

Microsoft

Data Engineer

Redmond, WA · On-site

$133K - $219K/yr

We are looking for a Data Engineer who is about building highly scalable cloud services, secure platforms, and modern partner onboarding experiences. You will work on critical platform capabilities ...

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 ...

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 ...

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 ...

Weyerhauser Co

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and operate the data platform that powers reporting, analytics, and AI across the enterprise. This hands-on ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Kirkland, WA

Data Engineer information

See Kirkland, WA salary details

$50.6K

$147.5K

$201.8K

How much do data engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data engineer in Kirkland, WA is $147,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,200.00 and $156,300.00 per year, depending on experience, location, and employer.

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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The most popular types of Data Engineer jobs in Kirkland, WA are:

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Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Kirkland, WA as of August 2026, with employment types broken down into 83% Full Time, 8% Temporary, and 9% Contract. Highlights an 78% In-person, 8% Hybrid, and 14% Remote job distribution, with an average salary of $147,484 per year, or $70.9 per hour.

Data Engineer

Kirkland, WA • Remote

Ziply Fiber
Media and Telecom • 1 - 5K employees

6.3

Company rating: 6.3 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

79th of 99 rated telecommunications companies

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Uninterrupted breaks

Learn more about Ziply Fiberexternal

$70K - $104K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

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Job description

Position Title: Data Engineer
Base Salary: $101,800 to $142,300 annually DOE
Benefits: Medical, dental, vision, 401k, flexible spending account, paid sick leave and paid time off,
parental leave, quarterly performance bonus, training, career growth, and education reimbursement
programs.

Ziply Fiber is a local internet service provider dedicated to elevating the connected lives of the
communities we serve. We offer the fastest home internet in the nation, a refreshingly great customer
experience, and affordable plans that put customers in charge.
As our state-of-the-art fiber network expands, so does our need for team members who can help us grow
and realize our goals.

Our Company Values:

• Genuinely Caring: We treat customers and colleagues like neighbors, with empathy and full
attention.
• Empowering You: We help customers choose what is best for them, and we support
employees in implementing new ideas and solutions.
• Innovation and Improvement: We constantly seek ways to improve how we serve customers
and each other.
• Earning Your Trust: We build trust through clear, honest, human communication.

Job Summary
The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines,
data models, and infrastructure that support business intelligence, analytics, and operational data needs.
This role involves working with various structured and unstructured data sources, optimizing data
workflows, and ensuring high data reliability and quality. The ideal candidate will be proficient in modern
data engineering tools and cloud platforms bringing innovative solutions to a fast-paced and diverse data
infrastructure.

Essential Duties and Responsibilities:

The Essential Duties and Responsibilities listed below are a range of duties performed by the employee
and not intended to reflect all duties performed.

Data Pipeline Development and Integration
• Design, develop, and maintain scalable data pipelines for ingestion, transformation, and
storage of large datasets.
• Work with structured and unstructured data, integrating data from various sources including
databases, APIs, and streaming platforms.

Data Modeling, Analytics, and Infrastructure
• Optimize data models for analytics and business intelligence reporting.
• Build and maintain data infrastructure, ensuring performance, reliability, and scalability.

Operational Excellence, Automation, and Documentation
• Troubleshoot and resolve data pipeline and ETL failures, implementing robust monitoring and
alerting systems.
• Automate data workflows to increase efficiency and reduce manual intervention.
• Develop and maintain documentation for data engineering processes and workflows.

Stakeholder Collaboration, Governance, and Compliance
• Collaborate with data analysts, data scientists, and business stakeholders to understand data
needs and design appropriate solutions.
• Implement best practices for data governance, security, and compliance.

Other Duties
• Performs other duties as required to support the business and evolving organization.

Required Qualifications:
• Bachelor’s degree in computer science, Engineering, or a related field.
• Minimum of three (3) years of experience in data engineering, ETL development, or related fields.
• Strong proficiency in SQL and database technologies (PostgreSQL, MySQL, Oracle, SQL Server,
etc.).
• Experience with big data processing frameworks such as Spark, Hadoop, Flink, and Apache
Hudi.
• Proficiency in programming languages such as Python, Java, or Scala for data engineering tasks.
• Hands-on experience with cloud platforms, with a strong focus on Microsoft Azure and its data
services such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
• Experience working with data warehouses such as Snowflake, Redshift, BigQuery, or Azure SQL
Data Warehouse.
• Familiarity with workflow orchestration tools such as Apache Airflow or Azure Data Factory.
• Knowledge of data modeling, schema design, and data architecture best practices.
• Strong understanding of data governance, security, and compliance standards.
• Ability to work independently in a remote environment and collaborate effectively across teams.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Azure
Resource Manager (ARM) templates.
• Knowledge of containerization and orchestration technologies such as Docker, Kubernetes, and
Azure Kubernetes Service (AKS).
• Exposure to GraphQL and RESTful APIs for data retrieval and integration.
• Familiarity with NoSQL databases such as MongoDB, DynamoDB, Cassandra, or Azure Cosmos
DB.
• Experience with:
o Real-time analytics databases such as Apache Pinot.
o Data transformation tools such as DBT, AWS Glue, or Alteryx.
o Metadata management and data discovery tools such as Apache DataHub.
o Data visualization tools such as Tableau, Power BI, or Looker.
o Version control software such as GitLab.

Knowledge, Skills, and Abilities:
• Experience working with real-time data streaming technologies like Kafka, Kinesis, or Azure
Event Hubs.
• Knowledge of machine learning pipelines and MLOps best practices, with experience using Azure
Machine Learning.
• Familiarity with DevOps practices and CI/CD pipelines for data engineering, including Azure
DevOps.
• Understanding of data privacy regulations such as GDPR and CCPA.

Work Authorization
Applicants must be currently authorized to work in the US for any employer. Sponsorship is not available
for this position.

Physical Requirements
The physical demands described here are representative of those that must be met by an employee to
successfully perform the essential functions of this job. Reasonable accommodations may be made to
enable individuals with disabilities to perform the essential functions.

Essential and marginal functions may require maintaining physical condition necessary for bending,
stooping, sitting, walking, or standing for prolonged periods of time; most of time is spent sitting in a
comfortable position with frequent opportunity to move about. The employee must occasionally lift and/or
move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision,
color vision, peripheral vision, depth perception, and the ability to adjust focus.

Work Environment
Work is performed in an office setting with exposure to computer screens and requires extensive use of a
computer, keyboard, mouse, and multi-line telephone system. The work is primarily a modern office
setting.

At all times, Ziply Fiber must be your primary employer. Unless otherwise prohibited by law, employees
may not hold outside employment nor be self-employed without obtaining approval in writing from Ziply
Fiber. In holding outside employment or self-employment, employees should ensure that participation
does not conflict with responsibilities to Ziply Fiber or its business interests.

Diverse Workforce / EEO:
Ziply Fiber is an equal opportunity employer. Ziply Fiber will consider all qualified candidates regardless of
race, color, religion, national origin, gender, age, marital status, sexual orientation, veteran status, and the
presence of a non-job-related handicap or disability or any other legally protected status.

Ziply Fiber requires a pre-employment background check as conditions of employment. Ziply Fiber may
require a pre-employment drug screening.

Ziply Fiber is a drug free workplace.


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