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Data Associate Jobs in Edgewood, WA (NOW HIRING)

Mactores

AWS Data Engineer (Associate)

Seattle, WA · On-site +1

$130K - $156K/yr

You'll build the data products that fix that - working with business leads, analysts, and data ... As an associate, you'll work inside that model from day one shipping alongside senior engineers ...

Mactores

AWS Data Engineer (Associate)

Seattle, WA · Remote

$117K - $140K/yr

You'll build the data products that fix that -- working with business leads, analysts, and data ... As an associate, you'll work inside that model from day one shipping alongside senior engineers ...

CROSSMARK

Retail Data Collection Associate - PT

Issaquah, WA · On-site

$17.50 - $20.25/hr

Retail Data Collection Associate - PT As a retail data collection associate, you would be a part of our CROSSMARK Field Intelligence Team. The primary function of this team is to travel locally to ...

PACCAR

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

Additionally, you'll support others by being a technical lead in order to support the development of other Associate Data Scientists. This position is a part of the Advanced Analytics team, a ...

PACCAR

Data Scientist

Renton, WA

$104K - $146K/yr

Additionally, you'll support others by being a technical lead in order to support the development of other Associate Data Scientists. This position is a part of the Advanced Analytics team, a ...

PACCAR

Data Scientist

Renton, WA

$104K - $146K/yr

Additionally, you'll support others by being a technical lead in order to support the development of other Associate Data Scientists. This position is a part of the Advanced Analytics team, a ...

Monks

Associate Director, Data Engineering

Seattle, WA · On-site

You will architect robust data engineering solutions and write production-level code to ensure data integrity and scalability. While this is an engineering-first role, you will also work with the ...

Pwc

Data Engineer - Senior Associate

Seattle, WA · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

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Showing results 21-40

All JobsData Associate JobsData Associate Jobs in Edgewood, WA

Data Associate information

See Edgewood, WA salary details

$15

$35

$60

How much do data associate jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for data associate in Edgewood, WA is $35.63, according to ZipRecruiter salary data. Most workers in this role earn between $26.39 and $42.21 per hour, depending on experience, location, and employer.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What is a data associate?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

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

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a data associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What cities near Edgewood, WA are hiring for Data Associate jobs? Cities near Edgewood, WA with the most Data Associate job openings:
Data Associate jobs near you
Infographic showing various Data Associate job openings in Edgewood, WA as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $74,111 per year, or $35.6 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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