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Remote Data Engineering Jobs in Tacoma, WA (NOW HIRING)

Mactores

AWS Data Engineer (Associate)

Seattle, WA · On-site +1

$130K - $156K/yr

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 ...

Mactores

AWS Data Engineer (Associate)

Seattle, WA · Remote

$117K - $140K/yr

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 ...

The AES Group

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

Remote - USA The AES Group is hiring an experienced Senior DevOps Engineer to join our growing ... Support Azure cloud-native services, including Azure Databricks, for data engineering and AI/ML ...

Sollucio Partners

Be Seen First

Business Systems Analyst

Seattle, WA · Remote

$90K - $110K/yr

Senior Business Systems Analyst - Data & Analytics Healthcare Payer Focus Location: Remote ... Partner with development and engineering teams to evaluate technical feasibility and ensure ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

YO AI Labs

SWE AI Training Data Expert - Remote

Seattle, WA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

YO AI Labs

SWE AI Training Data Expert - Remote

Seattle, WA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Fiveonefour

Senior Software Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

We have a remote-first team, are backed by incredible investors, and are building a high ... Data Engineering Exposure * Developer Tools Building Experience If you're looking for a challenging ...

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Showing results 41-60

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Tacoma, WA

Remote Data Engineering information

See Tacoma, WA salary details

$47.8K

$139.3K

$190.6K

How much do remote data engineering jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data engineering in Tacoma, WA is $139,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,000.00 and $147,700.00 per year, depending on experience, location, and employer.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Tacoma, WA?

The most popular types of Data Engineering jobs in Tacoma, WA are:

What are popular job titles related to Remote Data Engineering jobs in Tacoma, WA?

For Remote Data Engineering jobs in Tacoma, WA, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering jobs in Tacoma, WA look for?

The top searched job categories for Remote Data Engineering jobs in Tacoma, WA are:

What cities near Tacoma, WA are hiring for Remote Data Engineering jobs?

Cities near Tacoma, WA with the most Remote Data Engineering job openings:

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Tacoma, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $139,306 per year, or $67 per hour.

AWS Data Engineer (Associate)

Mactores

Seattle, WA • On-site, Remote

$130K - $156K/yr

Full-time

Re-posted 2 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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