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Weekend Data Jobs in Seattle, WA (NOW HIRING)

Sr. Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Expert at building unified data technologies to support advanced and automated business analytics * Design, develop, document, and maintain database and reporting structures used to compile insights

Data Bricks Data engineer

Seattle, WA · On-site

$130K - $156K/yr

Alpha Consulting Corp. is seeking a Senior Databricks Data Engineer with strong experience in enterprise-scale data migration and development. The ideal candidate will work on designing, developing ...

Data Bricks Data engineer

Seattle, WA · On-site

$130K - $156K/yr

C. is seeking a Senior Databricks Data Engineer with strong experience in enterprise-scale data migration and development. The role involves designing, developing, and maintaining scalable data ...

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 ...

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 ...

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 Analyst On site in Redmond WA Must have PLM tools experience for Data Analyst - PLM Project GENERAL SUMMARY Under the specific direction of a senior analyst, supervisor or manager; you will ...

Data Analyst On site in Redmond WA Must have PLM tools experience US Citizen or GC Holder only - no c2c, W2 required by client for Data Analyst - PLM Project GENERAL SUMMARY Under the specific ...

Data Analyst

Seattle, WA · On-site +1

$42 - $45/hr

Are you a data-driven visionary ready to revolutionize how a leading social marketing team makes critical decisions? This pivotal role offers the chance to design, build, and maintain the analytical ...

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

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 ...

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 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 ...

Data Analyst

Everett, WA · On-site

$90K - $110K/yr

Description 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 ...

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 · 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 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 Jun 13, 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:
What job categories do people searching Weekend Data jobs in Seattle, WA look for? The top searched job categories for Weekend Data jobs in Seattle, WA are:
Infographic showing various Weekend Data job openings in Seattle, WA as of June 2026, with employment types broken down into 2% As Needed, 61% Full Time, 33% Part Time, 3% Contract, and 1% Nights. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $43,557 per year, or $20.9 per hour.
Sr. Data Engineer

Sr. Data Engineer

PitchBook Data

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Medical, Life, Retirement

Posted 2 days ago


Job description

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.
About the Role:
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!
Primary Job Responsibilities:
  • Expert at building unified data technologies to support advanced and automated business analytics
  • Design, develop, document, and maintain database and reporting structures used to compile insights
  • Define, develop, and review extract, load, and transform (ELT) processes and data modeling solutions
  • Consistently evolve data processes and techniques following industry best practices
  • Establish and help define reports and dashboards used to translate business data into insights, identify and prioritize operational improvement opportunities, and measure business KPIs against objectives
  • Contribute to the ongoing improvement of quality assurance standards and procedures
  • Mentor and guide less experienced data engineers, contributing to their professional development
  • Stay updated with the latest data engineering technologies and trends and share your insights with the team
  • 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 a related field (Computer Science, Engineering, etc.)
  • 5+ years of experience in data engineering roles, including creating and maintaining data pipelines, data modeling, and data architecture
  • 5+ years of experience in data cleansing, governance, and quality/integrity
  • 5+ years of experience in advanced SQL, including expert-level skills in querying large datasets from multiple sources and developing automated reporting
  • 5+ years of experience in Python, with skills for diverse components of data pipelines, including scripting, data manipulation, custom extract, transform and loads, and statistical/regression analysis
  • Expertise in extract, transform, and load (ETL) and extract, load, transform (ELT) processes and pipelines, platforms (e.g. Airflow), and distributed messaging (e.g. Kafka)
  • Experience with tools that capture and control data modeling change management (e.g. SQLMesh)
  • Experience building data alerting & notifications (e.g. on deviations, thresholds, etc.)
  • Experience building and managing tools for data observability and documentation (e.g. DataLab)
  • Proficient in data storage solutions, data warehousing, and cloud-based data platforms (e.g. Snowflake)
  • Proficient in deploying data pipelines to a cloud-native, containerized deployment/delivery environment (e.g. Kubernetes)
  • Knowledge and applicable working experience establishing and ensuring data governance, data quality, and compliance standards
  • Exceptional problem-solving skills and a track record of designing and optimizing data pipelines
  • Excellent communication and collaboration skills with the ability to engage with non-technical stakeholders
  • Experience working with enterprise technologies (CRM, ERP, Marketing Automation Platforms, Financial Systems, etc.) is a plus
  • 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: $140,000-$170,000
  • Target annual bonus percentage: 10%

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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