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New Grad Data Engineer Jobs in Fox Island, WA (NOW HIRING)

Lead Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

If you're looking for a challenging and rewarding opportunity to take your career to new heights ... Act as a technical mentor and coach a team of data engineers with diverse experience levels

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and ... Our new hire grants vest over 4 years. Additional Information Benefits and Perks: * Full medical ...

Data Engineer

Seattle, WA

$130K - $156K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... new data and more consistent analytics/AI consumption and creating reduced manual effort through ...

Data Engineer

Seattle, WA · On-site

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and ... Our new hire grants vest over 4 years. Qualifications Additional Information Benefits and Perks:

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and ... Our new hire grants vest over 4 years. Additional Information Benefits and Perks: * Full medical ...

Lead Data Engineer

Seattle, WA

$130K - $156K/yr

If you're looking for a challenging and rewarding opportunity to take your career to new heights ... Act as a technical mentor and coach a team of data engineers with diverse experience levels

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

You will work closely with other data engineers, analysts, data scientists and marketers to build out new capabilities . The solutions you build will involve large datasets and system integrations in ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and ... We invest heavily in template- and metadata-driven patterns, so onboarding a new source is a ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and ... We invest heavily in template- and metadata-driven patterns, so onboarding a new source is a ...

Data Engineer, Amazon Fuse

Seattle, WA

$130K - $156K/yr

You will work with Product Managers, Software Engineers, Finance and Marketing Managers, as well as fellow Data Engineers and BI Engineers to build new data pipelines and datasets that optimize for ...

Data Engineer, SPTC

Seattle, WA · On-site

$130K - $156K/yr

We are looking for an exceptional data engineer to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel Sellers' trust in Amazon is our top priority ...

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

You will work with Product Managers, Software Engineers, Finance and Marketing Managers, as well as fellow Data Engineers and BI Engineers to build new data pipelines and datasets that optimize for ...

Big Data Engineer

Renton, WA · On-site

$63 - $83.25/hr

Big Data Engineer Location: Renton, Washington Duration: 6 Months Top Three Skills: * 5-years in ... new project : • Year of Graduation & Degree & university Name: • Date of Birth: • Skype ID ...

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

The Fuse Data Analytics (DA) team is looking for a Data Engineer to influence Fuse's decisions and ... We value highly technical people who know their subject matter deeply and are willing to learn new ...

... new data technologies and tools to enhance data architecture - Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data ...

... new data technologies and tools - Leading data strategy engagements providing thought leadership - Developing leading practices for Data Engineering, Data Science, and Data Governance - Architecting ...

You will use data to shape product development, identify new opportunities, and tackle upcoming ... Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture ...

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Showing results 1-20

New Grad Data Engineer information

See Fox Island, WA salary details

$48.3K

$140.7K

$192.6K

How much do new grad data engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for new grad data engineer in Fox Island, WA is $140,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,200.00 and $149,200.00 per year, depending on experience, location, and employer.

What is a new grad data engineer?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What does a new grad data engineer do?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What are the key skills and qualifications needed to thrive as a new grad data engineer?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills in programming, databases, and data processing tools like SQL, Python, or Spark. Entry-level roles often focus on potential and foundational knowledge, and internships or certifications can strengthen your application.

What cities near Fox Island, WA are hiring for New Grad Data Engineer jobs?

Cities near Fox Island, WA with the most New Grad Data Engineer job openings:

Infographic showing various New Grad Data Engineer job openings in Fox Island, WA as of June 2026, with employment types broken down into 41% Full Time, 57% Part Time, 1% Temporary, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $140,722 per year, or $67.7 per hour.

Lead Data Engineer

Seattle, WA • On-site

PitchBook Data
1 - 5K employees

$130K - $156K/yr

Full-time

Medical, Life, Retirement

Re-posted 9 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:
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.
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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