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Data Engineer Sponsorship Jobs (NOW HIRING)

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem ... Sponsorship Details Sponsorship not Offered for this Role

ShortList Recruitment Limited

$105K - $127K/yr

I can not consider applications requiring sponsorship at this time. Click Apply now to be considered for the Data Engineer role . \n \n

Indotronix International Corporation

Data Engineer

Wayne, PA · On-site

$103K - $124K/yr

Data Engineer - Contract to Hire (Hybrid, No Sponsorship) Location: Wayne, PA | Plano, TX | Charlotte, NC | Scottsdale, AZ Job Type: Contract to Hire (Hybrid, 3 days on-site/week) Eligibility: US ...

Strategic Staffing Solutions

Data Engineer

Houston, TX

$109K - $131K/yr

Visa Sponsorship is Available. The details are below. "Beware of scams. S3 never asks for money during its onboarding process." Job Title: Data Engineer Location: Houston, TX Contract Length: 12 ...

RFA Engineering

Data Engineer

Urbandale, IA · On-site

$80K - $120K/yr

Data Engineer As a Data Engineer, you will enable engineers, analysts, and data scientists to more ... Visa sponsorship is NOT available for this position. Salary Range: $80,000-$120,000/year:

Addison Group

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

S. now and in the future without sponsorship We're partnering with a client on a direct-hire Data Engineering role supporting a growing analytics and data platform. This position is ideal for someone ...

Addison Group

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

S. now and in the future without sponsorship We're partnering with a client on a direct-hire Data Engineering role supporting a growing analytics and data platform. This position is ideal for someone ...

RIT Solutions, Inc.

Data Engineer

Altamonte Springs, FL · On-site

$107K - $129K/yr

Required : • 3-6 month contract possible to hire after Must be able to convert without sponsorship • Looking for someone with a data engineering and data modeling background • Need someone to ...

Addison Group

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

S. now and in the future without sponsorship We're partnering with a client on a direct-hire Data Engineering role supporting a growing analytics and data platform. This position is ideal for someone ...

AEG

Data Engineer

White Plains, NY · On-site

$118K - $142K/yr

Partner with Sales, Sponsorships, Marketing, Finance and Football Operations to translate needs into reliable data solutions * Establish in-house data engineering standards. As the first internal ...

Institute of Foundation Models

Data Engineer

Sunnyvale, CA · On-site

$150K - $450K/yr

The Role As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data ... Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include *Comprehensive ...

Mondo

Data Engineer

Manhattan, NY · On-site

$75 - $82/hr

This position is not eligible for sponsorship . Seeking a highly technical Data Engineer with a software engineering foundation who can bridge business needs and analytics solutions, helping ...

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design ... Sponsorship not Offered for this Role

OtterBase

Data Engineer

Muskegon, MI

$103K - $124K/yr

We are helping a client company identify a Data Engineer to hire. Looking for someone who can work ... sponsorship is not available for this position #IND1

Berkley

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

WizeHire, Inc

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

As a Data Engineer , you will be responsible for implementing and optimizing datapipelines ... sponsorship. Responsibilities * Design, develop, and maintain the company's data warehouse and ...

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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 Sep 10, 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:

What are popular job titles related to Data Engineer Sponsorship jobs?

For Data Engineer Sponsorship jobs, the most frequently searched job titles are:

Data Engineer Sponsorship jobs near you
Infographic showing various Data Engineer Sponsorship job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Greenwich, CT • On-site

Berkley
See more jobs at Berkleyexternal

$128K - $154K/yr

Other

Re-posted 3 days ago

Job description

Company Details
"Our Company provides a state of predictability which allows brokers and agents to act with confidence."
Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.
Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.
Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth.
The Company is an equal employment opportunity employer.
Responsibilities
We are seeking a Data Engineer with strong engineering, coding, and problem-solving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI-enabled workflows.
This role is suited to someone who is technically strong, comfortable working independently, and able to translate complexity into robust, well-designed systems that others can rely on.
The position emphasizes engineering rigor, high-quality code, system reliability, and sound judgment over one-off solutions or purely mechanical implementations.
We seek someone to challenge the status quo and find better ways to build and operate data systems. You will advocate for the thoughtful application of modern data engineering, data science, and AI approaches.
Responsibilities
  • Write production-quality code for data ingestion, transformation, orchestration, and monitoring.
  • Design, build, and maintain reliable, scalable data pipelines and data platforms, including batch or distributed processing workloads (e.g., Spark-based pipelines).
  • Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.
  • Apply AI-assisted engineering approaches, including LLM-enabled tools or agents, to improve data quality, observability, documentation, and productivity.
  • Identify data quality issues, bottlenecks, and failure modes; design systems that are resilient and observable.
  • Stay current with data engineering and AI platform advancements, evaluate new tools, and recommend adoption where appropriate.
  • Apply professional skepticism and alternate approaches to validate data correctness, lineage, and assumptions.
  • Communicate system design, trade-offs, and limitations clearly to technical and non-technical stakeholders.
  • Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.

Qualifications
  • 4-7 years of relevant data engineering, software engineering, or technical experience. A Master's degree in Data Engineering or Computer Science.
  • Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling.
  • Strong programming skills, particularly in Python and SQL (including experience with distributed or batch processing frameworks such as PySpark or equivalent), with an emphasis on maintainable, testable code.
  • Experience designing and operating data pipelines, data lakes/warehouses, or distributed data systems.
  • Experience applying AI, machine learning, or LLM-based tools to real engineering problems (e.g., building agents, calling model APIs, integrating AI into engineering workflows).
  • Experience working with large or complex data flows and creating defensible system designs and implementation plans.
  • Strong professional judgment, curiosity, and attention to detail.

Sponsorship Details
Sponsorship not Offered for this Role

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