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Part Time Data Analytics Engineer Jobs in Seattle, WA

iSpot

Manager, Client Data Science

Bellevue, WA · Remote

$136K - $168K/yr

Comprising Analysts, Data Scientists, and Engineers, our team brings a deep understanding of the ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

iSpot

Principal Software Development Engineer

Bellevue, WA · On-site +1

$163K - $212K/yr

Lead the design of core architecture to support real-time data ingestion, large-scale analytics ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

Ryan Companies

Scheduling Engineer Intern

Seattle, WA · On-site

$20 - $25/hr

Help capture and organize completed project schedule data to support the Data Analytics team ... Currently pursuing a degree in Construction Management, Civil Engineering, Architectural ...

New

JLL

Operating Engineer (Part Time)

Bothell, WA · On-site

$76.92/hr

... data . Schedule:Part time, 20 hours per week What your day-to-day will look like: * Complete ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

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All JobsData Analytics Engineer JobsPart Time Data Analytics Engineer JobsPart Time Data Analytics Engineer Jobs in Seattle, WA

Part Time Data Analytics Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do part time data analytics engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for part time data analytics 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 are the key skills and qualifications needed to thrive as a part time data analytics engineer?

To thrive as a Part Time Data Analytics Engineer, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI is essential, with certifications in these tools considered advantageous. Excellent problem-solving abilities, attention to detail, and effective communication skills are important soft skills for this role. These skills ensure accurate data analysis, actionable insights, and efficient collaboration, which are critical for delivering value in a part-time capacity.

What does a part time data analytics engineer do?

A Part Time Data Analytics Engineer is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They build and manage data pipelines, use programming languages like Python or SQL, and create dashboards or reports to visualize data trends. Working part time, they may focus on specific projects or support ongoing analytics needs, often collaborating with other team members to ensure data quality and actionable insights.

How does working as a part time data analytics engineer differ from a full time position in terms of team collaboration and project ownership?

As a part-time Data Analytics Engineer, you'll often collaborate closely with full-time team members, focusing on specific tasks or projects that align with your available hours. You may be assigned to support data pipeline development, create dashboards, or perform data cleaning, but typically with a narrower project scope compared to full-time engineers. Communication and documentation are especially important, as you'll need to ensure smooth handoffs and updates for work that continues outside your scheduled hours. This structure provides flexibility but also requires proactive coordination to stay aligned with team goals and deadlines.
What are the most commonly searched types of Data Analytics Engineer jobs in Seattle, WA? The most popular types of Data Analytics Engineer jobs in Seattle, WA are:
What are popular job titles related to Part Time Data Analytics Engineer jobs in Seattle, WA? For Part Time Data Analytics Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Part Time Data Analytics Engineer jobs in Seattle, WA look for? The top searched job categories for Part Time Data Analytics Engineer jobs in Seattle, WA are:
Part Time Data Analytics Engineer jobs near you
Infographic showing various Part Time Data Analytics Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $147,621 per year, or $71 per hour.

Manager, Client Data Science

iSpot

Bellevue, WA • Remote

$136K - $168K/yr

Full-time, Part-time

Re-posted 3 days ago

Job description

Immigration / Work Authorization Notice: Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.

iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.

What You'll Be Part Of:

Our Client Data Science team is dedicated to delivering invaluable insights and reports to our clients. We thrive on innovation, employing cutting-edge techniques that empower our clients to advance their businesses. Comprising Analysts, Data Scientists, and Engineers, our team brings a deep understanding of the media landscape, advanced data science techniques, and strong coding skills, all fueled by a passion for growth.

Responsibilities:

As a key member of the Client Data Science team, you will be responsible for a variety of critical tasks, including:

● Managing, mentoring and growing three direct reports as well as fostering growth of the entire Data Science team.
● Collaborating on complex problems, both independently and as part of a team, while writing and optimizing R, Python, or SQL scripts for effective data processing.
● Adapting existing tools and methods to meet evolving needs, balancing workloads across various projects, and leveraging solid machine learning and statistical skills to inform data-driven decisions.
● Collecting, aggregating, and manipulating data from multiple sources, applying analytical techniques to derive insights, and creating clear visualizations or reports.
● Engaging with internal and external teams to clarify requirements, address challenges, and develop tailored solutions, while documenting project status and updates in tools like JIRA.
● Communicating effectively with diverse audiences, translating complex findings into accessible formats through written reports and presentations, and actively participating in team discussions to support collaboration and problem-solving.
Qualifications and Education Requirements:
● Experience: 5+ years of experience in Analytics, Data Science, or a comparable field
● Education: Bachelor's degree in a quantitative or social science field, Master's/PhD preferred
● Coding Experience: 3+ years coding experience with 2+ years coding specifically in R or Python;
● Coding Skill: Advanced coding skill in Python, or R;
● Management Experience: 1+ years of people management or people mentorship;

Preferred Skills:

• Technical Knowledge: Intermediate knowledge of Analytics, Data Science, Statistics, Marketing, and Visualizations;
• Communication: Exceptional written and verbal communication with internal and external stakeholders at all levels;
• iSpot's Client Data Science team expects all candidates to have a range of soft skills, including but not limited to: critical thinking, attention to detail, and effective communication. Additionally, the following soft skills are required for success in this role: Problem solving; Empathy; Leadership.

Target cash compensation range: $136,000-168,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-REMOTE

If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!

iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.

California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.