ZipRecruiter

Log In

1

From Home Data Engineer Jobs in Seattle, WA (NOW HIRING)

Ziply Fiber

Data Engineer

Kirkland, WA · Remote

$101K - $142K/yr

We offer the fastest home internet in the nation, a refreshingly great customer experience, and ... Work with structured and unstructured data, integrating data from various sources including ...

Dlapiper

Data Engineer

Seattle, WA

$130K - $156K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL ...

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 ... from various sources * Collaborate with data scientists analysts and business stakeholders to ...

PitchBook Data

Lead Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

At PitchBook, we believe that the Data Operations team plays a vital role in setting us apart from ... Partner with Product, Engineering, and Data Platform teams to align architecture and shared ...

Staffingine LLC

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Job Title: Data Engineer Job Location: Redmond WA Job Type: Contract * Design, develop, and ... Integrate data from multiple sources and ensure data quality, consistency, and accuracy across ...

PitchBook Data

Lead Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

At PitchBook, we believe that the Data Operations team plays a vital role in setting us apart from ... Partner with Product, Engineering, and Data Platform teams to align architecture and shared ...

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.

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and ... Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ...

Trupanion

Data Engineer

Seattle, WA · On-site

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and ... Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ...

Goli Tech

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Monitor and troubleshoot data engineering-related incidents * Support development and maintenance ... recovery from incidents utilizing well defined operational procedures, tools, and efficient ...

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 ...

Weyerhauser Co

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

For over 125 years, our Weyerhaeuser team has been making a difference in the world - from the ... About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and ...

Spark Tek Inc

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

The Data Engineer will support the development, configuration, and automation of data systems that ... recovery from incidents utilizing well defined operational procedures, tools, and efficient ...

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 ...

Weyerhaeuser Company

Data Engineer

Seattle, WA

$130K - $156K/yr

For over 125 years, our Weyerhaeuser team has been making a difference in the world - from the ... About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and ...

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 ...

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 ...

CyberProof

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... clearly, and learn from feedback. • Strong problem-solving instincts, curiosity, and the ... Data Engineer Associate) or working toward them. • Familiarity with data privacy concepts (GDPR ...

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Identify and analyse multi-structured data or metadata from a variety of sources to select and ... Leverage modern data engineering practices and frameworks with an object-oriented approach to ...

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 ...

next page

Showing results 1-20

All JobsData Engineer JobsFrom Home Data Engineer JobsFrom Home Data Engineer Jobs in Seattle, WA

From Home Data Engineer information

See Seattle, WA salary details

$52.3K

$187.8K

$277.1K

How much do from home data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for from home data engineer in Seattle, WA is $187,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,900.00 and $193,500.00 per year, depending on experience, location, and employer.

What is a from home data engineer?

A From Home Data Engineer is a professional who designs, builds, and maintains data systems and infrastructure while working remotely. They are responsible for collecting, processing, and storing large amounts of data, ensuring that it is accessible and usable for analysis. These engineers often use tools like SQL, Python, and cloud platforms such as AWS or Azure to manage data pipelines. Working from home, they collaborate with team members virtually to support business intelligence and data analytics needs.

What are the key skills and qualifications needed to thrive as a from home data engineer?

To thrive as a From Home Data Engineer, you need strong proficiency in programming languages like Python or Scala, a solid understanding of database systems, and typically a degree in computer science or a related field. Familiarity with big data technologies (such as Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications like AWS Certified Data Analytics are highly valued. Excellent problem-solving skills, self-motivation, and effective virtual communication are vital soft skills in remote settings. These skills and qualities enable efficient data processing, collaboration, and delivery of reliable analytics solutions while working independently from home.

How do from home data engineers typically collaborate with team members and stakeholders given the remote work setup?

From Home Data Engineers often rely on digital collaboration tools such as Slack, Zoom, and project management platforms to communicate with fellow engineers, data analysts, and business stakeholders. Regular virtual meetings, code reviews, and shared documentation help ensure everyone is aligned on project goals and timelines. While working remotely can present challenges like time zone differences and fewer face-to-face interactions, successful data engineers proactively schedule check-ins and participate in team channels to stay connected and maintain strong working relationships.

What is the difference between From Home Data Engineer vs From Home Data Analyst?

AspectFrom Home Data EngineerFrom Home Data Analyst
Required CredentialsBachelor's in CS, Engineering, or related; experience with cloud platformsBachelor's in Statistics, Math, or related; proficiency in data visualization tools
Work EnvironmentRemote, often collaborating with engineering teamsRemote, working with business teams to interpret data
Industry UsageTech, finance, healthcare, and moreRetail, marketing, finance, and other sectors
Common Search/ComparisonFrom Home Data Engineer vs From Home Data Analyst

While both roles involve working with data remotely, From Home Data Engineers focus on building data pipelines and infrastructure, whereas From Home Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What are the most commonly searched types of Data Engineer jobs in Seattle, WA?

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

From Home Data Engineer jobs near you

Data Engineer

Ziply Fiber

Kirkland, WA • Remote

$101K - $142K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Ziply Fiber rating

6.3

Company rating: 6.3 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

80th of 101 rated telecommunications companies

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.


What Ziply Fiber employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom