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Data Engineer Jobs in Shoreline, WA (NOW HIRING)

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Data Engineer Location: Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark)

Weekday AI

Data Engineer - Finance

Bellevue, WA · On-site

$60 - $85/hr

This role is for one of our clients Compensation: $60 - $85 per hour A rapidly growing AI organization is seeking a Data Engineer - Finance to build and maintain the data infrastructure that powers ...

Fred Hutchinson Cancer Center

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

The Data Engineer IV is a senior member of the Office of the Chief Data Office (OCDO) Data Engineering team leading the development of new translational data infrastructure, integrations, and user ...

Aquent

Data Engineer

Redmond, WA · On-site

$80 - $85/hr

Demonstrated ability to integrate enterprise data sources and develop SQL queries, ETL processes, and data pipelines. * Proficiency in scripting/programming languages such as Python, PowerShell, or ...

krg technology inc

Data Engineer

Redmond, WA

$128K - $154K/yr

Company Description Vignesh KRG Technologies Inc. 661 367 8000 *405 vignesh.c at krgtech.com 5-8 years' experience as a technical analyst or data analyst, in an engineering or technology operations ...

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 processing data from various sources and building data pipelines to deliver curated datasets for AI and ...

Bespoke Labs

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA · On-site

$125K/yr

Lead Data Engineer \\n Primary Skills * AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions Specialization * Azure Data Engineering Advanced: Senior Data Engineer Job requirements * Data ...

Team Red Dog

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA · On-site

$130K - $156K/yr

Lead Data Engineer Primary Skills * AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions Specialization * Azure Data Engineering Advanced: Senior Data Engineer Job requirements * Data Engineer:

Team Red Dog

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

Amazon

Data Engineer, SPTC

Seattle, WA · On-site

$130K - $156K/yr

We are looking for an exceptional data engineer to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel Sellers' trust in Amazon is our top priority ...

Globenet Consulting Corp

Lead Data Engineer

Lynnwood, WA · On-site

$45 - $55/hr

Training & development Lead Data Engineer - Azure Databricks Location: Charlotte, North Carolina 28273 Work Arrangement: Onsite, 5 days per week Let's Create Our Future Together at The AES Group The ...

Meta

Data Engineer, Product Analytics

Seattle, WA · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Shoreline, WA

Data Engineer information

See Shoreline, WA salary details

$49.3K

$143.7K

$196.6K

How much do data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineer in Shoreline, WA is $143,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,800.00 and $152,300.00 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

What job categories do people searching Data Engineer jobs in Shoreline, WA look for?

The top searched job categories for Data Engineer jobs in Shoreline, WA are:

What cities near Shoreline, WA are hiring for Data Engineer jobs?

Cities near Shoreline, WA with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Shoreline, WA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $143,687 per year, or $69.1 per hour.

Data Engineer

Noblesoft Technologies

Bellevue, WA • Remote

$117K - $140K/yr

Contractor

Re-posted 4 days ago

Job description

Position: Data Engineer
Location: Bellevue, WA. (Remote)
 
Job Description:
Mandatory Skills: Vectr and Cribl
8+ years of experience.
  1. Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark).
  2. Build and manage API integrations for data exchange between systems.
  3. Write and optimize SQL queries and stored procedures for data transformation and analysis.
  4. Implement Azure cloud services, including Azure Data Lake, Azure SQL Database
  5. Develop Python-based data processing solutions for automation and orchestration.
  6. Monitor, troubleshoot, and optimize data workflows and pipelines.
  7. Ensure data security, governance, and compliance with industry standards.
  8. Undertake Unit testing making full utilization of automation tools available and working with the system test team to ensure tests are integrated as         
  9. part of the overall test plan.
  10. Good multi-tasking and flexibility to stretch when situation demands.
Excellent communication skills