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Data Engineer Sponsorship Jobs (NOW HIRING)

Data Engineer

Seatac, WA · On-site

$108K - $138K/yr

S. without sponsorship. Looking for Your Next Data Engineering Challenge? Join a stable, family - owned company with 40+ years of no layoffs and a collaborative, team-focused culture. Who we are:

New

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problemsolving ... Sponsorship DetailsSponsorship not Offered for this RoleEmployment Type: OTHER

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

About the Team RA Capital's Data Engineering team builds the enterprise data platform that powers ... Authorization to work in the United States without current or future sponsorship. * Must be based ...

Senior Data Engineer

Philadelphia, PA

$107K - $145K/yr

Candidates must be authorized to work in the United States without sponsorship both now or in the future. Position Summary: The Senior Data Engineer will design, build, and maintain serverless data ...

New

Senior Data Engineer

Salt Lake City, UT

$102K - $139K/yr

Candidates must be authorized to work in the United States without sponsorship both now or in the future. Position Summary: The Senior Data Engineer will design, build, and maintain serverless data ...

New

Data Engineer

Pasadena, CA · On-site

$125K - $150K/yr

Data Engineer Direct Hire - Onsite Pasadena W2 Only (No Sponsorship/C2C) We are looking for a Data Engineer to design, optimize, and manage scalable data architecture. In this role, you will build ...

Data Engineer

West Chester, PA · On-site +1

$108K - $130K/yr

... Engineer to join our Data Product Engineering team responsible for managing and evolving the ... This position is ineligible for visa sponsorship. To be considered for this role, you must be ...

New

Data Engineer

Cedar Rapids, IA · On-site

$100K - $120K/yr

Candidates must be eligible to work in the United States without visa or sponsorship.** Our client is seeking a Data Engineer to design, develop, and maintain the data infrastructure that supports ...

Data Engineer

Cedar Rapids, IA · On-site

$112K - $135K/yr

Candidates must be eligible to work in the United States without visa or sponsorship.** Our client is seeking a Data Engineer to design, develop, and maintain the data infrastructure that supports ...

Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

S. This position is not eligible for sponsorship . Our client is seeking a motivated and detail-oriented Data Engineer to join our growing data team. In this role, you will work closely with senior ...

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... sponsorship. If you're ready to be part of a team that values your expertise and encourages your ...

Data Engineer

Manhattan, NY · Remote

$70 - $80/hr

S. This position is not eligible for sponsorship. We're looking for a mid-level Data Engineer to join our team during a critical migration and peak season period. This role supports Audience ...

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... sponsorship. If you're ready to be part of a team that values your expertise and encourages your ...

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... sponsorship. If you're ready to be part of a team that values your expertise and encourages your ...

Data Engineer

Madison, WI · On-site +1

$115K - $138K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... sponsorship. If you're ready to be part of a team that values your expertise and encourages your ...

Data Engineer

Plano, TX · On-site

$107K - $128K/yr

Description Job Title- Data Engineer Department- Systems & Technology Reports to- VP, Software ... We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Data Engineer

San Francisco, CA · On-site

$160K - $175K/yr

Gridware.io. Role Overview As a Data Engineer at Gridware, you'll help build and maintain the ... At this time, Gridware is unable to provide visa sponsorship or immigration support for this role.

Data Engineer

Cincinnati, OH · On-site +1

$109K - $131K/yr

This position is not eligible for employment visa sponsorship. Applicants must be authorized to ... Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department.

New

Data Engineer

San Francisco, CA · On-site

$160K - $175K/yr

Gridware.io. Role Overview As a Data Engineer at Gridware, you'll help build and maintain the ... At this time, Gridware is unable to provide visa sponsorship or immigration support for this role.

Showing results 21-40

Data Engineer Sponsorship information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer sponsorship jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data engineer sponsorship in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a data engineer sponsorship?

A Data Engineer Sponsorship refers to a job opportunity where an employer is willing to sponsor a work visa for a data engineering candidate, often for international professionals seeking to work in a new country. Data engineers in these roles design, build, and maintain data systems, pipelines, and architectures that enable companies to store, process, and analyze large volumes of data. Sponsorship can include assistance with visa applications, legal paperwork, and sometimes relocation support. These positions are common in countries with high demand for tech talent, such as the United States, United Kingdom, and Canada. Employers seek skilled data engineers who are proficient in programming, data warehousing, and big data technologies.

How does a data engineer working in a sponsorship-focused role typically collaborate with marketing and business development teams?

Data Engineers in sponsorship-driven environments often work closely with marketing and business development teams to design and maintain data pipelines that track sponsorship performance and audience engagement. This collaboration involves translating business requirements into technical solutions, ensuring data quality, and providing insights that help optimize sponsorship strategies. You can expect to participate in cross-functional meetings, support campaign analytics, and contribute to dashboards and reports that inform decision-making. Effective communication and a strong understanding of both data infrastructure and business goals are crucial for success in this role.

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

To thrive as a Data Engineer, you need a solid background in computer science, proficiency in programming languages like Python or Java, and expertise in database management, often supported by a degree in a related field. Experience with big data tools (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Cloud Professional Data Engineer are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers excel in collaborating with cross-functional teams. These skills and qualifications are crucial for building robust data pipelines, ensuring data quality, and enabling data-driven decision-making in organizations.

What is the difference between Data Engineer Sponsorship vs Data Scientist Sponsorship?

AspectData Engineer SponsorshipData Scientist Sponsorship
Required CredentialsBachelor's or higher in CS, Engineering, or related fields; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentData pipelines, ETL processes, cloud platformsStatistical analysis, model development, data visualization
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

Both roles often require similar educational backgrounds and certifications, and they frequently work within the same industries. The main difference lies in their focus: Data Engineers build and maintain data infrastructure, while Data Scientists analyze data to generate insights. Sponsorship opportunities are common for both roles, especially for international candidates seeking work visas.

More about Data Engineer Sponsorship jobs

What cities are hiring for Data Engineer Sponsorship jobs?

Cities with the most Data Engineer Sponsorship job openings:

What states have the most Data Engineer Sponsorship jobs?

States with the most job openings for Data Engineer Sponsorship jobs include:

Infographic showing various Data Engineer Sponsorship job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 2% Temporary, and 7% Contract. Highlights an 82% In-person, 8% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$108K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Lynden Incorporated is seeking a Data Engineer II to join our SeaTac-based team. In this role, you will help build and modernize Lynden's enterprise data platform on Microsoft Fabric, delivering reliable and scalable data solutions that support reporting, analytics, and business decision-making across the organization. The successful candidate will combine strong hands-on engineering skills with sound technical judgment and the ability to translate business needs into secure, maintainable data products.
This is a hybrid position after training, with 2 days onsite in SeaTac and 3 days remote. This position is non-safety-sensitive and requires ongoing authorization to work in the U.S. without sponsorship.
Looking for Your Next Data Engineering Challenge? Join a stable, family-owned company with 40+ years of no layoffs and a collaborative, team-focused culture.
Who we are:
Lynden is a family-owned transportation and logistics company helping customers balance speed and budget with shipping via air, land, or sea. Our corporate office is home to 190 employees, including 95 IT professionals, and supports 15 Lynden companies and more than 2,500 employees.
What You Will Be Doing
  • Build, maintain, and support reliable production data pipelines that enable trusted operational reporting, analytics, and business insights.
  • Design and deliver scalable data solutions with built-in quality controls, reconciliation, security, peer review, and change management practices.
  • Administer and support the Microsoft Fabric platform, including workspace organization, capacity management, security, connectivity, access controls, and environment lifecycle management.
  • Optimize performance, stability, and cost efficiency by monitoring workloads, troubleshooting issues, and resolving production challenges.
  • Partner with business stakeholders, analysts, application teams, and technical owners to gather requirements and translate business needs into scalable data solutions.
  • Collaborate with Business Intelligence developers to deliver governed datasets and semantic models that support Power BI and other reporting tools.
  • Apply secure, well-governed data practices, including role-based access controls, least-privilege design, sensitive data protection, auditability, and change management.
  • Utilize Git, deployment pipelines, and automated release processes to manage source control, testing, and promotion across environments.
  • Contribute to data platform standards, modernization initiatives, and adoption of new Microsoft Fabric capabilities and engineering best practices.
  • Manage multiple projects and production support priorities while ensuring timely delivery of commitments.
  • Provide technical guidance, code reviews, and mentorship to team members while supporting continuous improvement initiatives.

What's In It for You:
  • Discretionary bonus program
  • Competitive wages + annual wage reviews
  • Cell Allowance: $10 per month
  • Two medical plans starting as low as $0/month
  • Medical, dental and vision for your family for $222/month (HDHP)
  • Flexible Spending Account (FSA) or Health Savings Account (HSA)
  • Mental health programs (in-office and virtual)
  • 17 days Paid Time Off a year + additional paid extended leave. PTO increases with tenure
  • 8 paid holidays each year
  • 401(k) with company match + additional contributions
  • No-cost Employee assistance program, life insurance, long term disability and AD&D
  • Tuition Reimbursement program
  • Mass transit reimbursement
  • Career advancement through internal promotions

What We Need from You (required)
  • Bachelor's degree in Computer Science, Data Engineering, Analytics, or a related field, plus two (2) to four (4) years of related experience; or an equivalent combination of education and experience.
  • Hands-on experience delivering production solutions using Microsoft Fabric, including Data Factory, Lakehouse, Warehouse, Notebooks, OneLake, and related platform capabilities.
  • Authorization to work in the U.S. without current or future sponsorship.

What Would Be Nice to Bring (preferred)
  • Microsoft Fabric, Azure Data Engineer, Power BI, or related Microsoft certifications.
  • Advanced SQL skills and proficiency with Python and PySpark for data ingestion, transformation, automation, and testing.
  • Strong understanding of modern data engineering concepts, including ETL/ELT, dimensional modeling, Delta and Parquet formats, medallion architecture, change data capture, incremental processing, and data quality practices.
  • Experience with Git-based source control, code reviews, CI/CD processes, and deployment management.
  • Experience with Microsoft Fabric Real-Time Intelligence, Eventstream, KQL databases, streaming data, or event-driven architectures.
  • Experience developing Power BI semantic models and supporting enterprise reporting and analytics solutions.
  • Familiarity with Azure services such as Azure Functions, Event Hubs, Key Vault, Azure SQL, and Azure Data Lake Storage.
  • Experience modernizing or migrating legacy data platforms and implementing engineering standards, automated testing, observability, or reusable frameworks.
  • Strong analytical, organizational, and communication skills, with the ability to partner effectively with technical and non-technical stakeholders.
  • Experience in transportation, logistics, finance, or other complex operational environments.

Your Schedule
  • Hybrid schedule upon completion of training
    • Working onsite from our office in SeaTac, WA
    • This position is not eligible for relocation.

Why should you join us?
  • We're ethical and human. We don't get everything perfect, but we try hard. When we miss the mark, we own it and make it right.
  • We work as a collaborative team built on respect and support.
  • Our casual office includes an on-site gym, free parking and easy access to Link Light Rail.

Fine Print:
All employment offers are contingent on a satisfactory background check and pre-employment drug screen, excluding marijuana where prohibited by law. Random drug testing does not include marijuana for non-safety-sensitive positions in Washington
Lynden Incorporated is an equal opportunity employer and does not discriminate based on any protected status.