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Hiring Opt Student For Data Engineer Jobs in Bothell, WA

Principal Data Engineer - Parametric

Seattle, WA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

For further information about Morgan Stanley, please visit www.morganstanley.com. ABOUT PARAMETRIC ... ABOUT THE TEAM The Data Engineering team ensures that data pipelines are scalable, repeatable ...

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Team Red Dog is building a pipeline of qualified candidates for an anticipated AI Data Engineer 3 opening with one of our long-term enterprise technology clients. This opportunity is expected to ...

Senior Data Engineer

Seattle, WA · On-site

$120K - $163K/yr

Socure is building the identity trust infrastructure for the digital economy, focusing on verifying identities and preventing fraud. The Senior Data Engineer will design and build scalable data ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... for AI and machine learning applications. Responsibilities : • Ingest and process data from ... Therefore reducing hiring time and cost. Founded in 2022, the company is headquartered in Kent ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with ... Updating the Tech spec and wiki page for each implementation of the pipeline * Updating ADO on a ...

Lead Data Engineer - R01568940

Seattle, WA

$130K - $156K/yr

Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes ... Final hiring decisions are ultimately made by humans. If you would like more information about how ...

Data Engineer

Seattle, WA

$130K - $156K/yr

The Data Engineer will be responsible for designing, building, and maintaining robust and scalable data pipelines and infrastructure. This role requires a strong understanding of data warehousing, ET ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

As an Engineer for Marketing Technology, you will be responsible for the development, support, configuration, and automation of the data infrastructure that supports our global marketing strategy.

Data Engineer, SPTC

Seattle, WA · On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for an exceptional data engineer to help us develop new ways to build trust and ... hiring process, including support for the interview or onboarding process, please visit for more ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

We are constantly on the lookout for professionals to fulfil the staffing needs of our clients, and ... Data Engineer Skills required: * Cosmos SQL experience Azure Power BI * Knowledge of Azure Data ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Candidates with limited or no experience in reporting and analytics, automation, AI-assisted solutions, data engineering, Power BI, Grafana, or Kusto-based data analysis will not be eligible for the ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

For over 125 years, our Weyerhaeuser team has been making a difference in the world - from the ... About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

For over 125 years, our Weyerhaeuser team has been making a difference in the world - from the ... About the Role Weyerhaeuser's Data & Analytics team is looking for a Data Engineer to build and ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Candidates with limited or no experience in reporting and analytics, automation, AI-assisted solutions, data engineering, Power BI, Grafana, or Kusto-based data analysis will not be eligible for the ...

Collaborate with researchers, ML engineers, and product managers to align on data needs for ... As part of the hiring experience, we provide clear guidance on where AI is encouraged during the ...

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Support SDL, TrIP, OSOT, privacy, and governance requirements for hosted workloads. * Ensure ... Experience supporting Data Engineering, Analytics, AI, or Business Intelligence environments.

We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the role: We're seeking a Data Engineer to take the lead in building our ...

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Support SDL, TrIP, OSOT, privacy, and governance requirements for hosted workloads. * Ensure ... Experience supporting Data Engineering, Analytics, AI, or Business Intelligence environments.

Showing results 41-60

Hiring Opt Student For Data Engineer information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

How much do hiring opt student for data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for hiring opt student for data engineer in Bothell, WA is $145,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

What is a data engineer hired under OPT?

A Data Engineer hired under OPT (Optional Practical Training) is an international student in the U.S. on an F-1 visa who has completed or is pursuing their degree and is authorized to work in their field of study. As a Data Engineer, their primary role is to design, build, and maintain the infrastructure and tools needed to collect, store, and analyze large datasets. They work with technologies such as SQL, Python, and big data frameworks to ensure data is accessible and reliable for analytics and business intelligence. OPT allows these students to gain practical experience relevant to their academic background.

What kinds of projects and responsibilities can an OPT student expect when starting as a data engineer?

As an OPT student beginning a Data Engineer role, you can expect to work on projects involving data collection, ETL (Extract, Transform, Load) pipeline development, and database management. Early responsibilities often include supporting senior engineers with data cleaning, designing data models, and collaborating with data analysts and software developers to ensure reliable and accessible data infrastructure. You'll likely use tools such as SQL, Python, and cloud platforms, and participate in team meetings to discuss project goals and troubleshoot data-related challenges. This hands-on experience provides a strong foundation for future career growth in data engineering.

What are the key skills and qualifications needed to thrive as an OPT data engineer, and why are they important?

To excel as an OPT Data Engineer, you need a solid background in computer science, programming (especially Python or Java), and experience with database systems, often supported by a relevant degree. Familiarity with big data tools (like Hadoop or Spark), cloud platforms (AWS, Azure, or GCP), and data pipeline technologies is typically required. Strong problem-solving skills, attention to detail, and effective communication help you stand out in this role. These skills enable efficient data processing and collaboration, which are essential for building reliable, scalable data solutions in a fast-paced environment.

What is the difference between Hiring Opt Student For Data Engineer vs Data Analyst?

AspectHiring Opt Student For Data EngineerData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certifications in data toolsStatistical knowledge, data visualization skills, often a degree in statistics, mathematics, or related fields
Work EnvironmentTechnical teams, data engineering projects, cloud platformsBusiness units, reporting, data interpretation tasks
Employer & Industry UsageTech companies, startups, organizations with data infrastructure needsFinance, marketing, healthcare, and other sectors analyzing data for insights

Hiring Opt Student For Data Engineer roles focus on technical skills like programming and data infrastructure, while Data Analysts emphasize statistical and visualization skills. Both roles support data-driven decision-making but differ in technical depth and project scope.

Are Hiring Opt Students for Data Engineer roles still in demand?

Data Engineer roles, including those suitable for OPT students, remain in demand due to the growing need for data infrastructure and analytics across industries. Skills in SQL, Python, cloud platforms, and data pipeline tools like Apache Spark are highly valued, and employers often seek candidates with relevant internships or project experience. However, competition can vary based on location and market conditions.

Can I get a hiring opt student for data engineer job with no experience?

Hiring for data engineer positions often requires relevant skills such as programming, data modeling, and familiarity with tools like SQL and Python. While some entry-level roles may consider students with no experience if they demonstrate strong technical aptitude and willingness to learn, most positions prefer candidates with some practical knowledge or internships.

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For Hiring Opt Student For Data Engineer jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Hiring Opt Student For Data Engineer jobs in Bothell, WA look for?

The top searched job categories for Hiring Opt Student For Data Engineer jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Hiring Opt Student For Data Engineer jobs?

Cities near Bothell, WA with the most Hiring Opt Student For Data Engineer job openings:

Infographic showing various Hiring Opt Student For Data Engineer job openings in Bothell, WA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 3% Contract, and 1% Nights. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $145,008 per year, or $69.7 per hour.

Principal Data Engineer - Parametric

Morgan Stanley

Seattle, WA • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 hours ago


Morgan Stanley rating

8.4

Company rating: 8.4 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

31st of 150 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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