1

Graduate Data Engineer Jobs in Seattle, WA (NOW HIRING)

Product Manager I

Seattle, WA · On-site

$115K - $126K/yr

Master's degree or other post-graduate education * Work experience in product management or related ... Familiarity with APIs, data integrations, or developer-facing products; experience working with or ...

This role is ideal for a recent graduate who is passionate about Python development, automation ... This is a hands-on engineering role focused primarily on Python development, automation, data ...

Whether you're a recent Engineering or Technical Business graduate ready to take your technical ... Show--don't just tell--how our technology simplifies complex data collection. * Be a Trusted ...

Master's degree or other post-graduate education * Work experience in product management or related ... Familiarity with APIs, data integrations, or developer-facing products; experience working with or ...

Sr AI Engineer

Bellevue, WA · On-site

$117K - $162K/yr

Orchestrating AI agents across data modalities including medical images, electronic medical records ... Graduate degree in Computer Science or a related field, with two or more years of industry ...

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

As data volume and complexity grow, our platform enables large-scale model training, feature ... This is an ideal role for a recent university graduate who is excited to work on large-scale ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

You have an undergraduate or graduate degree in computer science or similar technical field, with ... You are capable of quickly coding and prototyping data pipelines involving any combination of ...

You have an undergraduate or graduate degree in computer science or similar technical field, with ... You are capable of quickly coding and prototyping data pipelines involving any combination of ...

Showing results 41-60

Graduate Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do graduate data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for graduate data engineer in Seattle, WA is $147,618.00, 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 graduate data engineer?

A Graduate Data Engineer typically requires a bachelor's degree in computer science, engineering, mathematics, or a related field, along with foundational knowledge of programming, data structures, and database concepts. Familiarity with technologies such as SQL, Python, cloud platforms (e.g., AWS, Azure), and modern data engineering tools like Apache Spark or Hadoop is often expected, and introductory certifications can provide an added advantage. Strong analytical thinking, problem-solving ability, effective communication, and eagerness to learn are valuable soft skills in this role. These skills and qualities are crucial for efficiently building, maintaining, and optimizing data pipelines that support business decision-making.

What does a graduate data engineer do?

As a Graduate Data Engineer, your daily tasks may include building and maintaining data pipelines, assisting with data cleansing and transformation, and collaborating with data scientists and other engineers to deliver reliable datasets. You'll often work with structured and unstructured data, write scripts to automate data workflows, and help troubleshoot data integration issues as they arise. Throughout your work, you'll be expected to document processes and learn new tools or technologies as the team evolves. This role provides an excellent opportunity to develop hands-on technical skills while working closely with experienced professionals in a collaborative setting.

What is a graduate data engineer?

A Graduate Data Engineer is an entry-level role focused on designing, building, and maintaining data pipelines and infrastructure. They work with large datasets, ensuring data is collected, processed, and stored efficiently for analysis. Typically, they collaborate with data scientists, analysts, and other engineers to support data-driven decision-making. This role often involves using programming languages like Python or SQL, cloud platforms, and big data technologies. Graduate Data Engineers gain hands-on experience in data engineering principles and tools, helping organizations manage and optimize their data workflows.

What are the most commonly searched types of Graduate Data Engineer jobs in Seattle, WA? The most popular types of Graduate Data Engineer jobs in Seattle, WA are:
Infographic showing various Graduate Data Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $147,618 per year, or $71 per hour.

Product Manager I

PitchBook Data

Seattle, WA • On-site

$115K - $126K/yr

Other

Medical, Life, Retirement

Re-posted 7 days ago


Job description

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! 

PitchBook's Product Manager I - AI Partnerships works collaboratively with key stakeholders, engineering teams, and external partners to support the execution of PitchBook's AI Partnerships product roadmap. This role is embedded in one of PitchBook's highest-priority growth areas, supporting the Premium MCP Connector, Essential Connector, Select Connector, and Direct Data via MCP initiatives. The PM I will contribute to day-to-day delivery, partner coordination, and product quality for our suite of AI-powered data distribution products. 

Primary Job Responsibilities:

  • Write clear functional requirements and contribute to PRDs for new products and incremental feature additions 
  • Collaborate with the broader AI Partnerships team to support quarterly planning, sprint ceremonies, and shared MCP refinement sessions
  • Support onboarding of new Premium Connector partners by coordinating callback URL submissions, working with engineering to whitelist new partners, and helping troubleshoot launch blockers
  • Maintain and update partner-facing documentation tools, rate limits, or server configurations change 
  • Support marketing and Help Center teams by providing product context, demo recordings, and messaging input for new partner launches 
  • Assist with post-launch monitoring for new products by tracking usage, running customer interviews, and synthesizing feedback to inform roadmap decisions
  • Monitor and respond to partner and customer inquiries escalating bugs to engineering as needed and maintaining a high standard of responsiveness
  • Support the vision and values of the company through role modeling and encouraging desired behaviors 
  • Participate in various company initiatives and projects as requested 

Basic Qualifications:

  • Bachelor's degree in Computer Science, Finance, Business
  • 2+ years of professional work experience
  • Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Preferred Qualifications:

  • Master's degree or other post-graduate education
  • Work experience in product management or related experience (e.g., technical program management, solutions consulting, or product operations in a B2B SaaS environment)
  • Familiarity with APIs, data integrations, or developer-facing products; experience working with or alongside engineering teams on technical products is a plus
  • Strong written and verbal communication skills, including comfort engaging with external partners and cross-functional stakeholders
  • High attention to detail and the ability to manage multiple workstreams simultaneously
  • Curiosity and a bias for action comfortable navigating ambiguity and taking initiative on well-scoped problems
  • Proficient in Microsoft Office suite; ability to pick up new tools and systems quickly (e.g., Jira, Confluence, Mixpanel, Smartsheet)
  • Familiarity with data analytics or SQL

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: $115,000-$126,000
  • 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.

#LI-MS1
#LI-Onsite