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Data Engineer Contract Jobs in Bothell, WA (NOW HIRING)

Mactores

AWS Data Engineer (Associate)

Seattle, WA

$130K - $156K/yr

Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. This role sits in our Data Platform Modernization pillar: consolidating and ...

Mactores

AWS Data Engineer (Associate)

Seattle, WA · On-site +1

$130K - $156K/yr

Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. This role sits in our Data Platform Modernization pillar: consolidating and ...

Mactores

AWS Data Engineer (Associate)

Seattle, WA · Remote

$117K - $140K/yr

Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. This role sits in our Data Platform Modernization pillar: consolidating and ...

TekWissen LLC

Data Engineer III

Redmond, WA · On-site

$83/hr

Data Engineer III Duration: 6 Months Location: Redmond, WA 98052 Job Type ... Contract Work Type: Onsite Client is looking for a Data Scientist to join the Kuiper Production ...

Syntricate Technologies

Azure Data Engineer__ITAR

Seattle, WA · On-site

$62.50 - $77.75/hr

Syntricate Technologies is seeking an Azure Data Engineer for a contract position. The role involves building and maintaining data pipelines, supporting Azure infrastructure, and collaborating with ...

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Showing results 21-40

All JobsData Engineer Contract JobsData Engineer Contract Jobs in Bothell, WA

Data Engineer Contract information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

How much do data engineer contract jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data engineer contract in Bothell, WA is $145,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

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

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

What are popular job titles related to Data Engineer Contract jobs in Bothell, WA?

For Data Engineer Contract jobs in Bothell, WA, the most frequently searched job titles are:

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

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

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

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

Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in Bothell, WA as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $145,008 per year, or $69.7 per hour.

AWS Data Engineer (Associate)

Seattle, WA

Mactores
Business Management Consulting • 1 - 10 employees
Learn more about Mactoresexternal

$130K - $156K/yr

Full-time

Re-posted 7 days ago

Job description

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60-70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.


This role sits in our Data Platform Modernization pillar: consolidating and migrating customer data infrastructure on AWS in weeks, not quarters. Customers come to us with pipelines nobody trusts, metrics nobody agrees on, and warehouses that stall every new business question. You'll build the data products that fix that - working with business leads, analysts, and data scientists to understand the domain, then shipping pipelines and models that hold up in production.

Because Aedeon handles the repetitive layer source discovery, schema mapping, validation harnesses - you won't spend your early career grinding through spreadsheet audits. You'll spend it writing code that reaches production and learning judgment from engineers who own cutovers. Data quality isn't a checkbox here; it's the product.

 
What you will do?
  • Write efficient PySpark and Amazon Glue code that ships to production.
  • Write SQL in Amazon Athena and Amazon Redshift.
  • Pick up new technologies and techniques and put them to work on real business problems.
  • Work across engineering and business teams to build data products and services people actually use.
  • Deliver projects with the team and land customer updates on time.
What are we looking for?
  • 1 to 3 years of experience in Apache Spark, PySpark, and Amazon Glue.
  • 2+ years of experience writing ETL jobs using PySpark and SparkSQL.
  • 2+ years of experience with SQL queries and stored procedures.
  • Deep understanding of the Dataframe API and the transformation functions supported by Spark 2.7+.
You will be preferred if you have
  • Prior experience in working on AWS EMR,  Apache Airflow
  • Certifications AWS Certified Big Data - Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer
  • Understanding of DataOps Engineering
How we work?
We run a forward-deployed model. Engineers embed with the customer's team, own outcomes from discovery through production, and carry the delivery commitment personally. Aedeon absorbs scale; engineers absorb judgment; the contract absorbs risk. As an associate, you'll work inside that model from day one shipping alongside senior engineers rather than watching from a bench. The culture is casual and steers clear of rigid corporate habits. We care about what ships, and we let you be yourself while you ship it. 
Life at Mactores
 
We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
 
1. Be one step ahead
2. Deliver the best
3. Be bold
4. Pay attention to the detail
5. Enjoy the challenge
6. Be curious and take action
7. Take leadership
8. Own it
9. Deliver value
10. Be collaborative
 
We would like you to read more details about the work culture on https://mactores.com/careers 
 
 
The Path to Joining the Mactores Team
At Mactores, our recruitment process is structured around three distinct stages:
 
Pre-Employment Assessment: 
A series of evaluations of your technical proficiency and suitability for the role.
 
Managerial Interview: The hiring manager engages with you in multiple discussions, 30 minutes to an hour each, covering technical skills, hands-on experience, leadership potential, and communication. 
 
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.
 
Mactores provides equal opportunities in all employment practices. We don't discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This applies to every part of the employment relationship, recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs.
 
 
Note: Please answer as many questions as possible with this application to accelerate the hiring process.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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