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New Grad Data Engineer Jobs in Federal Way, WA (NOW HIRING)

Data Engineer II

Seattle, WA · On-site

$119K - $162K/yr

As a Data Engineer II, you will share ownership of Redfin's Data Platform, owning business critical ... new systems from the ground up. We are also looking for someone who is self-directed and ...

Data Engineer II

Seattle, WA · On-site

$119K - $162K/yr

As a Data Engineer II, you will share ownership of Redfin's Data Platform, owning business critical ... new systems from the ground up. We are also looking for someone who is self-directed and ...

AWS Cloud Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Must have a background in data engineering - Data Warehouse Development experience would be perfect ... Serve as an expert; envision and integrate emerging data technologies, anticipate new trends to ...

AWS Cloud Data Engineer

Seattle, WA · On-site +1

$130K - $156K/yr

Must have a background in data engineering - Data Warehouse Development experience would be perfect ... Serve as an expert; envision and integrate emerging data technologies, anticipate new trends to ...

AWS Data Engineer (Associate)

Seattle, WA

$130K - $156K/yr

Pick up new technologies and techniques and put them to work on real business problems. * Work across engineering and business teams to build data products and services people actually use. * Deliver ...

AWS Data Engineer (Associate)

Seattle, WA · On-site +1

$130K - $156K/yr

Pick up new technologies and techniques and put them to work on real business problems. * Work across engineering and business teams to build data products and services people actually use. * Deliver ...

Are you passionate about standardizing data platforms and automating data engineering to drive ... create new ones based on stakeholder needs - Diagnose and resolve operational issues through ...

AWS Data Engineer (Associate)

Seattle, WA · Remote

$117K - $140K/yr

Pick up new technologies and techniques and put them to work on real business problems. * Work across engineering and business teams to build data products and services people actually use. * Deliver ...

Are you passionate about standardizing data platforms and automating data engineering to drive ... create new ones based on stakeholder needs - Diagnose and resolve operational issues through ...

Data Engineer II, Talent Development

Seattle, WA · On-site

$130K - $156K/yr

We invest in technology that helps employees build new skills, access support, and find community ... We're looking for an exceptional Data Engineer to help deliver on that commitment at scale. The ...

Data Engineer, WW Ops Finance S&A

Bellevue, WA · On-site

$129K - $155K/yr

As a Data Engineer in WW Ops S&A, you will design, implement and support scalable data ... create new ones based on stakeholder needs - Diagnose and resolve operational issues through ...

We are working to rebuild and revolutionize data engineering and business intelligence systems ... their new analytics requirements. Manage numerous requests concurrently and strategically ...

We are working to rebuild and revolutionize data engineering and business intelligence systems ... their new analytics requirements. Manage numerous requests concurrently and strategically ...

Data Engineer II, AWS Analytics Engineering

Seattle, WA · On-site

$130K - $156K/yr

As AWS launches new services and features at an accelerating pace, the need for a unified, self-service Data Ingestion Platform has become critical. We are seeking a Data Engineer to join our Data ...

Data Engineer II, AWS Analytics Engineering

Seattle, WA · On-site

$130K - $156K/yr

As AWS launches new services and features at an accelerating pace, the need for a unified, self-service Data Ingestion Platform has become critical. We are seeking a Data Engineer to join our Data ...

Showing results 41-60

New Grad Data Engineer information

See Federal Way, WA salary details

$49.7K

$144.9K

$198.2K

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

As of Sep 6, 2026, the average yearly pay for new grad data engineer in Federal Way, WA is $144,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,900.00 and $153,600.00 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 Federal Way, WA are hiring for New Grad Data Engineer jobs?

Cities near Federal Way, WA with the most New Grad Data Engineer job openings:

Infographic showing various New Grad Data Engineer job openings in Federal Way, WA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $144,859 per year, or $69.6 per hour.

Principal Data Engineer - Parametric

Morgan Stanley

Seattle, WA • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

36th of 154 rated financial services


Job description

ABOUT MORGAN STANLEY Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com

ABOUT PARAMETRIC Parametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley. We partner with advisors, institutions, and consultants to build portfolios focused on what's important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs.

We also offer systematic alpha and alternative strategies to complement clients' core holdings. This role is part of Parametric's hybrid working model, which includes working in the office 3 days a week and choosing to work remotely or in the office the remaining days of the week. ABOUT THE TEAM The Data Engineering team ensures that data pipelines are scalable, repeatable, secure, and can serve multiple users.

We help facilitate getting data from a variety of different sources, getting it in the right formats, assuring that it adheres to data quality standards, and assuring that downstream users can get that data quickly. ABOUT THE ROLE The Principal Data Engineer will serve as a technical lead on new and ongoing development projects, designing, developing, and maintaining services to support various business needs. In this role you will be responsible for guiding and mentoring a team of data engineers helping them to achieve their highest potential while collectively advancing the goals and projects of the engineering team.

The Principal Data Engineer is responsible for the design, structure, and maintenance of data projects ensuring the accuracy and accessibility of data relevant to an organization or a project. In this role the Principal Data Engineer needs to be able to take business requirements and design and architecture end to end that fully supports the business needs. The Lead Data engineer needs to be an expert in writing and optimizing SQL queries.

They need to be able to document ideas and proposals which will include creating ER diagrams and architectural documents that document the transformation of data throughout its lifecycle. A successful Principal Data Engineer must possess superior analytical skills and be detail-oriented. This role requires the ability to communicate effectively as part of a larger team within the information technology department.

Additionally, you will need to explain complex technical concepts to non-technical staff. Since development of data models and logical workflows is common, a Principal Data Engineer must also exhibit advanced visualization skills, as well as creative problem-solving. PRIMARY RESPONSIBILITIES AI & Automation Integration: Design and implement data pipelines optimized for machine learning, generative AI, and real-time analytics.

Modern Data Architecture: Build scalable, cloud-native architectures leveraging Data Mesh, Lakehouse, and streaming technologies. Data Governance & Ethics: Enforce responsible AI practices, data privacy, and compliance with evolving regulations. Performance Optimization: Apply advanced techniques for query optimization, distributed computing, and cost-efficient cloud operations.

Legacy Modernization: Reimagine legacy systems using containerization, serverless computing, and AI-driven orchestration. Collaboration & Leadership: Partner with business and technical stakeholders to align solutions with strategic objectives. Documentation & Standards: Maintain technical specifications, runbooks, and architectural diagrams.

Security & Resilience: Implement zero-trust security models, disaster recovery, and automated failover strategies. Continuous Innovation: Evaluate emerging technologies (e.g., AI agents, quantum-ready data frameworks) and integrate where applicable. Evaluates and provides feedback on future technologies and new releases/upgrades

Contributes to the establishment of business continuity & disaster recovery requirements, methods and procedures for data systems and databases. Job Requirements Bachelor's in Computer Science, Mathematics, or Engineering or equivalent work experience 10+ years of data engineering, data science, or software engineering experience 3+ years of experience with Snowflake 4+ years of experience in AWS (or similar cloud technologies) cloud stack including S3, IAM, Athena, SNS, SQS, and EMR. 6+ years of SQL Server and experience with tools such as SSIS and SSRS Demonstrated success providing both expert technical guidance and team leadership Capability of architecting highly scalable distributed systems, using different open-source tools Highly skilled in leading teams using Agile development process such as Kanban or Scrum Demonstrated experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and data infrastructures Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases Ability to collaborate and partner across a diverse team Ability to create strong work ethics and committed teams, foster open dialogue, and promote individual and team success Financial industry data fluency is preferred but not required Parametric believes each member of our organization makes a significant contribution to our success.

That contribution should not be limited by the assigned responsibilities. Therefore, this job description is designed to outline primary duties and qualifications. It is our expectation that every member of our team will offer his/her/their services wherever and whenever necessary to ensure the success of our WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals.

We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered.

Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Salary range for the position: $115,000 - $225,000/Yr. The successful candidate may be eligible for an annual discretionary incentive compensation award

The successful candidate may be eligible to participate in the relevant business unit's incentive compensation plan, which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.


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About Morgan Stanley

Sourced by ZipRecruiter

Since our founding in 1935, Morgan Stanley has been committed to serving local and global communities by being a market leader in Investment Banking, Securities, Investment Management and Wealth Management services. Our belief that capital can work to benefit all of society inspires us to put our clients first, lead with exceptional ideas, hold our business to high ethical standards, and give back to communities around the world through philanthropy and public works. We have a smart casual dress code and operate under a philosophy that balances work with your personal life. Our people's talent, passion, and expertise is the fuel on which our organization runs, therefore, our people are our greatest asset. Diversity and inclusiveness is a critical component for our success and it is our priority to continue building a firm that values the unique background and identity of every one of our employees, thus enabling our people to bring their full, and best selves to work each day. Teamwork is the essence of our approach, and so are the values of integrity, excellence, and enabling our people to achieve at the highest levels. We invite you to learn more about our commitment to diversity and serving our community.

Industry

Finance and insurance and software development

Company size

10,000+ Employees

Headquarters location

New York, NY, US