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Weekend Data Jobs in Seattle, WA (NOW HIRING)

Vibotek LLC

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Vibotek LLC is a technology company seeking a Data Engineer. The role involves ingesting and processing data from various sources and building data pipelines to deliver curated datasets for AI and ...

krg technology inc

Data Engineer

Redmond, WA

$128K - $154K/yr

Company Description Vignesh KRG Technologies Inc. 661 367 8000 *405 vignesh.c at krgtech.com 5-8 years' experience as a technical analyst or data analyst, in an engineering or technology operations ...

Vibotek LLC

Data Engineer

Seattle, WA

$130K - $156K/yr

Key Responsibilities: * 1. Ingest and process data from Salesforce (Investments), Dynamics 365 Coupa (Finance), Workday (HR), Concur (Operations), and external program/partner data (e.g., Health ...

Bespoke Labs

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Amazon

Data Engineer II, Data Management Team

Seattle, WA · On-site

$130K - $156K/yr

Build robust and scalable data integration (ETL) pipelines using SQL, Python and AWS services such as Data Pipelines, Glue Implementing data structures using best practices in data modeling to ...

Bespoke Labs

Data Engineer

Tacoma, WA · On-site

$123K - $147K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Amazon

Data Engineer II, Data Management Team

Seattle, WA · Remote

$130K - $156K/yr

In this role, the ideal candidate will be responsible for developing and managing big data systems using advanced data engineering knowledge in the data warehousing space and redefining best ...

Amazon

Data Engineer II, Data Management Team

Seattle, WA · Remote

$130K - $156K/yr

In this role, the ideal candidate will be responsible for developing and managing big data systems using advanced data engineering knowledge in the data warehousing space and redefining best ...

Bespoke Labs

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Microsoft Corporation

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Experience supporting Data Engineering, Analytics, AI, or Business Intelligence environments. * Experience with CI/CD pipelines, GitHub, Azure DevOps, and automation frameworks. * Experience with ...

New

Microsoft

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Experience supporting Data Engineering, Analytics, AI, or Business Intelligence environments. * Experience with CI/CD pipelines, GitHub, Azure DevOps, and automation frameworks. * Experience with ...

Navtech, Inc.

"Data Engineer"

Seattle, WA · On-site

$130K - $157K/yr

I have an opportunity for "Data Engineer" and looking for a candidate who can join Immediately if you are interested reply me with your updated resume or consultant's contact details and if you could ...

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All JobsData JobsWeekend Data JobsWeekend Data Jobs in Seattle, WA

Weekend Data information

See Seattle, WA salary details

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How much do weekend data jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for weekend data in Seattle, WA is $20.94, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $21.07 per hour, depending on experience, location, and employer.

What are the main responsibilities and challenges of working as a weekend data?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

What is the difference between Weekend Data vs Weekend Data Analyst?

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

What are the key skills and qualifications needed to thrive as a weekend data, and why are they important?

To thrive as a Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

What is a weekend data?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.

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

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

What cities near Seattle, WA are hiring for Weekend Data jobs?

Cities near Seattle, WA with the most Weekend Data job openings:

Weekend Data jobs near you
Infographic showing various Weekend Data job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $43,557 per year, or $20.9 per hour.

Data Engineer

Vibotek LLC

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Vibotek LLC is a technology company seeking a Data Engineer. The role involves ingesting and processing data from various sources and building data pipelines to deliver curated datasets for AI and machine learning applications.
Responsibilities:
• Ingest and process data from Salesforce (Investments), Dynamics 365 Coupa (Finance), Workday (HR), Concur (Operations), and external program/partner data (e.g., Health, Education).
• Build and maintain pipelines in Databricks, DBT, and Snowflake to deliver curated datasets for AI/ML.
• Design simple, reusable data models to support training and inference.
• Implement data quality tests, documentation, and lineage in DBT
• Ensure performance optimization, cost efficiency, and compliance with governance standards.
• Collaborate with Knowledge Management (AI/Data Science) team to provide feature ready datasets.
Qualifications:
Required:
• Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning).
• Strong background in ETL/ELT pipeline development.
• Experience with enterprise SaaS systems (Salesforce, D365, Coupa, Workday, Concur).
• Solid SQL and Python skills; knowledge of data quality frameworks.
Company:
We screen and shortlist candidates before presenting to our clients. Therefore reducing hiring time and cost. Founded in 2022, the company is headquartered in Kent, Washington, US, , with a team of 11-50 employees. The company is currently Early Stage.

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