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Data Jobs in Sultan, WA (NOW HIRING)

PitchBook Data

Data Product Manager

Seattle, WA · On-site

The Enterprise Data Platform team enables data-driven decision-making across PitchBook by delivering scalable, trusted, and accessible data products and services. Our mission is to empower teams ...

PitchBook Data

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 ...

Welo Data

Data Labeling Associate

Seattle, WA

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets. • Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A ...

Welo Data

Data Labeling Associate

Bellevue, WA

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets. • Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A ...

Welo Data

Data Labeling Associate

Redmond, WA

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets. • Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A ...

H5 Data Centers

Data Center Project Manager

Seattle, WA · On-site

$125K - $130K/yr

Ensure the effective and economical use of H5 Data Center's business resources, and to support the financial requirements of the operation at the Data Center facilities. Works to make sure proper ...

PitchBook Data

Lead Data Engineer

Seattle, WA · On-site

$116K - $153K/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 ...

Docker

Data Scientist, Data Insights

Seattle, WA · On-site +1

Docker is seeking a Data Scientist to join our Data Insights team. You will be a key individual contributor, applying statistical rigor and advanced analytical techniques to extract value from our ...

eTeam

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 ...

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Data information

See Sultan, WA salary details

$48.5K

$174K

$256.7K

How much do data jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data in Sultan, WA is $173,955.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,700.00 and $179,200.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
More about Data jobs
What cities near Sultan, WA are hiring for Data jobs? Cities near Sultan, WA with the most Data job openings:
Data jobs near you
Infographic showing various Data job openings in Sultan, WA as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $173,955 per year, or $83.6 per hour.

Data Product Manager

PitchBook Data

Seattle, WA • On-site

Other

Medical, Life, Retirement

Posted 20 days ago

Job description

About the Role:

The Enterprise Data Platform team enables data-driven decision-making across PitchBook by delivering scalable, trusted, and accessible data products and services. Our mission is to empower teams across the Enterprise with high-quality data that drives operational efficiency, strategic insights, and faster, more confident decision-making. 

As PitchBook continues to grow, the Enterprise Data Platform plays a critical role in advancing our data strategy through modern data capabilities, strong governance practices, and scalable platform solutions. We partner closely with business, analytics, and engineering teams to build reliable data foundations that support innovation, improve accessibility, and unlock enterprise value at scale. 

The Data Product Manager leads the development of data products that drive business value and support user-centric decision-making. This role is responsible for advancing data accessibility, governance, and quality while partnering cross-functionally with engineering, analytics, and business teams to deliver scalable, high-impact solutions. 

Operating at the intersection of data strategy, product delivery, and business outcomes, the role owns the end-to-end lifecycle of data products - from discovery and prioritization through delivery and continuous improvement. Success in this role requires strong systems thinking, the ability to manage data dependencies and remove bottlenecks, and a focus on delivering reliable, high-quality data products efficiently. 

This is an excellent opportunity for a growth-oriented product manager to expand their expertise in data, analytics, and platform product management within a fast-growing environment. If you enjoy building customer-centric solutions, thrive in collaborative environments, and are passionate about delivering impactful products, we'd love to hear from you. 

Primary Job Responsibilities:

  • Own the data product roadmap, aligning priorities with business goals, enterprise data strategy, and measurable outcomes  
  • Lead prioritization across initiatives using value, impact, effort, risk, and dependency frameworks  
  • Continuously improve delivery flow by reducing bottlenecks, managing dependencies, and increasing delivery predictability 
  • Partner with PMO and cross-functional teams to align data products with enterprise initiatives and platform priorities  
  • Partner closely with data engineering on data modeling, pipeline design, and scalable architecture decisions  
  • Maintain a prioritized product backlog with clearly defined epics, stories, and acceptance criteria 
  • Support agile delivery by clarifying requirements, removing blockers, and driving consistent sprint outcomes  
  • Use retrospectives and delivery metrics to identify and implement continuous improvement opportunities
  • Lead discovery efforts through stakeholder engagement, usage analysis, and data assessments to identify high-value opportunities 
  • Translate business needs into clear problem statements, product requirements, and measurable success metrics 
  • Ensure data products are intuitive, accessible, and aligned to the needs of technical and non-technical users
  • Define and monitor adoption, data quality, and business impact metrics to guide product evolution 
  • Communicate product strategy, priorities, and outcomes effectively across technical and business audiences 
  • Facilitate alignment across teams and manage competing priorities, scope, and delivery timelines 
  • Deliver concise, outcome-focused updates highlighting value delivered, performance metrics, and key learnings 
  • Champion data governance standards including data quality, lineage, cataloging, access management, and compliance 
  • Ensure data products are discoverable, well-documented, and scalable for enterprise use  
  • Promote data literacy by translating complex data concepts into actionable insights for business stakeholders  
  • Partner with security, legal, and compliance teams to support privacy, regulatory, and ethical data standards 
  • 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:

Required:

  • Bachelor's degree in Computer Science, Information Systems, Business, Analytics, or a related field, or equivalent practical experience  
  • Must be authorized to work in the United States without the need for visa sponsorship now or in the future 
  • 2+ years of experience in data product management, analytics, data engineering, or related data-focused roles  
  • 2 or more years experience defining and measuring product success through KPIs, OKRs, adoption metrics, and business impact measures
  • 2 or more years experience delivering data products end-to-end, from discovery and prioritization through implementation and adoption 
  • Must have data literacy, including working knowledge of SQL, data modeling, data pipelines, BI/reporting tools, and modern data platforms 

Desired skills:

  • Experience partnering cross-functionally with data engineering, analytics, and business stakeholders to deliver scalable data solutions 
  • Strong understanding of Agile product delivery practices and backlog management within technical environments 
  • Familiarity with data governance, data quality, metadata management, and data accessibility best practices 
  • Excellent communication and stakeholder management skills, with the ability to translate complex data concepts into actionable business outcomes 
  • Strategic and systems-oriented thinker with the ability to balance business priorities, technical dependencies, and user needs  

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: $120,000-$145,000
  • 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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