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Weekend Data Jobs in Seattle, WA (NOW HIRING)

Lead Data Engineer

Seattle, WA

$130K - $156K/yr

At PitchBook, we believe that the Data Operations team plays a vital role in setting us apart from our competitors. We take immense pride in providing top-quality data to our customers, while also ...

AI & Data - Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Job Summary : eTeam is looking for a Data Engineer specializing in AI and Data. The role involves ingesting and processing data from various sources, building and maintaining data pipelines, and ...

Support and complete data clean-up by submitting requirements and collaborating with IT for PLM and ERP data clean-up and maintenance following the IT process for mass updates of data. Develop ...

Company Description Annik is a global data and analytics solutions company helping businesses leverage their data assets to deliver tangible business value. We work with businesses across the globe ...

Data Analyst

Redmond, WA · Hybrid

$55 - $60/hr

Data Analyst - PLM Implementation Location: Redmond, WA (Hybrid) Work Schedule: Hybrid Pay Rate: $55-$60 per hour Job Type: 1-year (Contract) Position Overview We are seeking a Data Analyst to ...

Data Analyst

Everett, WA · On-site

$90K - $130K/yr

The Data Analyst role exists to make our data trustworthy. magniX operates across multiple systems -- ERP, program management, and financial planning tools -- and this analyst will be the person who ...

Company Description Annik is a global data and analytics solutions company helping businesses leverage their data assets to deliver tangible business value. We work with businesses across the globe ...

Data Analyst

Auburn, WA · On-site

$70K - $140K/yr

SUMMARY OF POSITION The Data Analyst - Category & Supplier Insights transforms syndicated POS data and demand signals into actionable intelligence that drives growth across retailers, brands, and ...

We are seeking a Data Analyst to join our growing Data & Analytics team at Funko. In this role, you will leverage data to deliver actionable insights that support business growth, operational ...

Data Engineer II , GTMO DATA

Seattle, WA · On-site

$130K - $156K/yr

These data solutions would be used in reporting and to drive business decision making while dealing efficiently with the massive scale of data available through our Data Warehouse as well as our ...

Data Analyst Location â Redmond, WA Duration â 12 months Experience Required: â Advanced Excel Skills (beyond just vlookups and pivot tables) â knows how to aggregate data sources and make data ...

Data Engineer II , GTMO DATA

Seattle, WA

$130K - $156K/yr

These data solutions would be used in reporting and to drive business decision making while dealing efficiently with the massive scale of data available through our Data Warehouse as well as our ...

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Weekend Data information

See Seattle, WA salary details

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How much do weekend data jobs pay per hour?

As of Jul 26, 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 Analyst?

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 Analyst, 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 are Weekend Data jobs?

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:
Infographic showing various Weekend Data job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $43,557 per year, or $20.9 per hour.
Lead Data Engineer

$130K - $156K/yr

Other

Medical, Life, Retirement

Posted 8 days ago


Job description

About the Role:

At PitchBook, we believe that the Data Operations team plays a vital role in setting us apart from our competitors. We take immense pride in providing top-quality data to our customers, while also being accountable, collaborative, and receptive to feedback. Our team members are highly engaged, detail-oriented, and always eager to learn and grow as our industry evolves.

Our reputation for excellence is a direct result of our deep commitment to building the world's best private market database, and we recognize the importance of investing in our team members from day one. That's why we offer specialized training and a mentorship program that is tailored specifically to the needs of the Data Operations team.

We value and celebrate the diverse perspectives, talents, and experiences of our team members and recognize the importance of building trust and strong cross-functional partnerships. If you're looking for a challenging and rewarding opportunity to take your career to new heights, we invite you to join us at PitchBook.

At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. 

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. 

If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. 

Primary Job Responsibilities:

  • Lead the design and development of scalable data pipelines and workflows that support Data Operations 
  • Define and implement best practices for data modeling, pipeline orchestration, testing, and monitoring 
  • Drive improvements in data architecture, including warehousing, transformation layers, and data access patterns 
  • Identify opportunities to modernize tooling, improve performance, and reduce operational overhead 
  • Act as a technical mentor and coach a team of data engineers with diverse experience levels  
  • Uplevel the team's capabilities in SQL, Python, data modeling, and system design  
  • Establish coding standards, review processes, and develop best practices  
  • Help bridge the gap between operationally minded team members and software engineering rigor  
  • Serve as the primary technical point of contact for Data Operations leadership and key stakeholders  
  • Partner with Product, Engineering, and Data Platform teams to align architecture and shared capabilities  
  • Translate business and operational needs into clear technical requirements and solutions  
  • Influence prioritization and roadmap decisions within Data Operations initiatives  
  • Build and maintain data solutions that integrate human-driven workflows with automated systems  
  • Develop reporting and monitoring solutions to ensure data quality, pipeline reliability, and operational visibility  
  • Deeply understand Data Operations processes and identify opportunities for automation and optimization  
  • Balance speed and quality in a fast-moving, ambiguity-rich environment 
  • Support the vision and values of the company through role modeling and encouraging desired behaviors 
  • Participate in various company initiatives and projects as requested 

Skills and Qualifications:

  • Bachelor's degree in computer science, Engineering, Statistics, Information Systems, or related field 
  • 5+ years of experience in data engineering or related roles 
  • Advanced SQL skills and strong experience working with large, complex datasets 
  • Strong Python experience for data processing, automation, and pipeline development 
  • Proven experience building and maintaining ETL/ELT pipelines (batch and event driven) and data workflows 
  • Experience with data warehousing concepts and modern data stacks (e.g., Snowflake or similar) 
  • Ability to design scalable, maintainable data models and systems 
  • Strong communication skills, with the ability to work effectively with both technical and non-technical stakeholders 
  • Demonstrated experience mentoring or guiding other engineers (formally or informally) 
  • Experience working with large-scale proprietary data environments 
  • Familiarity with orchestration tools (e.g., Airflow) and modern data tooling 
  • Experience with BI tools such as Tableau or Power BI 
  • Exposure to cloud platforms (AWS, Azure, or GCP) 
  • Experience improving data quality, observability, and governance practices 
  • Experience applying AI/ML or automation techniques to improve operational efficiency 
  • Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

  • Comprehensive health benefits
  • Additional medical wellness incentives 
  • STD, LTD, AD&D, and life insurance

Emotional Health 

  • Paid sabbatical program after four years
  • Paid family and paternity leave 
  • Annual educational stipend
  • Ability to apply for tuition reimbursement
  • CFA exam stipend 
  • Robust training programs on industry and soft skills 
  • Employee assistance program
  • Generous allotment of vacation days, sick days, and volunteer days

Social Health 

  • Matching gifts program
  • Employee resource groups
  • Subsidized emergency childcare  
  • Dependent Care FSA
  • Company-wide events
  • Employee referral bonus program  
  • Quarterly team building events

Financial Health 

  • 401k match
  • Shared ownership employee stock program 
  • Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. 

Compensation

  • Annual base salary: $175,000 - $220,000
  • Target annual bonus percentage: 15%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

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