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Full Time Data Engineer Jobs in Seattle, WA (NOW HIRING)

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Full Time Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do full time data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for full time data engineer in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Engineer vs Data Analyst?

AspectFull Time Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related; often certifications in cloud or data toolsBachelor's in Statistics, Math, or related; sometimes certifications in analytics tools
Work EnvironmentTech teams, data infrastructure projects, cloud platformsBusiness units, reporting, data visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, retail, consulting
Common Search & Comparison IntentUnderstanding roles, skills, and career pathsJob responsibilities, tools, and skills needed

Full Time Data Engineers focus on building and maintaining data infrastructure, pipelines, and systems, often requiring programming and cloud skills. Data Analysts interpret data, create reports, and visualize insights, typically using analytics tools. Both roles are essential in data-driven organizations but differ in technical depth and focus areas.

Are full time data engineers still in demand?

Full-time data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies like Hadoop and Spark. Organizations seek skilled professionals with expertise in database management, cloud platforms, and programming languages such as Python and SQL to build and maintain data pipelines and infrastructure.

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:

What are popular job titles related to Full Time Data Engineer jobs in Seattle, WA?

For Full Time Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Full Time Data Engineer jobs in Seattle, WA look for?

The top searched job categories for Full Time Data Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Full Time Data Engineer jobs?

Cities near Seattle, WA with the most Full Time Data Engineer job openings:

Full Time Data Engineer jobs near you
Infographic showing various Full Time Data Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $147,621 per year, or $71 per hour.

Data Scientist - Full Time Only

Next Level Business Services, Inc.

Redmond, WA • On-site

Full-time

Re-posted 17 days ago

Job description

Company Description

NLB Services offers a wide-range and best-in-class suite of value-based business solutions comprising of IT services, HR solutions, On-site & Off-site Outsourcing and Consulting services that are built on its robust process domain and people management expertise.
At NLB Services, we believe in a work culture that is open and energetic. Our operational methodology is clear and object oriented, blended with flexibility and a proactive attitude to help us focus on developing the right expertise that is required to deliver an unmatched set of services and products. Our team of experts works 24/7 to add value to your existing business and help you grow exponentially.

Job Description

Position Title: Data Scientist

Location: Redmond, WA

Hire Type: Full Time Only  

Salary: Good


Skills:

* 5-7 years work related experience. Advanced degree in Computer Science, Applied Statistics, Mathematics, Engineering or Operations Research. 

* 3 -5 years of development experience in R. Knowledge of ensemble methods and clustering methods such as K-means, Naive Bayes etc.

* Industry experience in Data analytics/BI, Data modeling and visualization, Optimization and statistics.

* Knowledge of Databases with strong working knowledge on SQL and R

* Experience with data manipulation and analysis using Big data technologies like Map Reduce/Hive, Azure ML, Cosmos ML. Knowledge of C#.  

* Experience working with big data and real time/near real time analytics and big data platforms. 

* Proven experience in data mining/data analysis and statistics (percentiles, median, standard deviation, outliers, distributions). Hands on knowledge and experience in building models (propensity, churn, forecasting, cross-sell, up-sell, clustering, segmentation etc.)

*Any background in basic machine learning is a plus.  

* Experience in customer facing interaction is must (Gathering requirements, translating business questions into executable steps)

* Expert with Excel, PowerPoint, PowerPivot, PowerQuery, and other reporting tools. 

* Proven technical strength and creativity - the ability to think outside the box for technical solutions. 

* Strong cross-group collaboration and communication skills - ability to coordinate deliverables across teams. 

* Prior experience with cloud services or cloud data services and/or data analytics projects preferred.  

* Technical skills to ask the right questions and find the right answers & willingness to learn new skills. Development / Coding experience is a plus. 


Responsibilities:

Drive & participate at each stage of Life cycle starts from Data Acquisition to Deployment & Reporting of Statistical and Machine Learning Modelling.

Required to take full ownership of the Model Development

Understand business problem, extract/analyze data, provide insights & recommendations

Generate the Business Insights & Communicate the same to key stake Holders

* Identify and analyze large data sets for data quality, data sufficiency and data integrity etc. to support business decisions.  

Required to provide the Technical support with regards.to. ML Platforms & Cloud technologies, Domain to other team members.

Should able to come up with tailor made solutions for specific business problems

Required to prepare detailed technical and process documentation


Desirable Technical Skills

Preferred experience solving business problems using modeling, text/data mining on large scale real-world business data sets


Mandatory Functional Skills

Ability to work independently or to manage a virtual team that will research innovative solutions to challenging business problems 

Ability to collaborate with partners and drive analytic projects end to end, 

Superior communication skills, both verbal and written 

Attention to detail and data accuracy



Thanks,

Ajay Singh


Additional Information

All your information will be kept confidential according to EEO guidelines.

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