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Data Engineer Sponsorship Jobs (NOW HIRING)

Data Engineer

Plano, TX ยท Hybrid

$107K - $128K/yr

Candidates who will require future sponsorship, including candidates on CPT/OPT/STEMOPT who will require future sponsorship, are not eligible to apply. ** Our USRM Data & Analytics Engineering (DAE ...

Data Engineer

Chicago, IL ยท Hybrid

$118K - $141K/yr

We are unable to provide sponsorship for this role* Qualifications * Bachelor s degree * 3+ years of experience as a data analyst, data engineer, software engineer, data scientist, financial risk ...

Data Engineer

Boston, MA ยท Hybrid

$124K - $149K/yr

Candidates who will require future sponsorship, including candidates on CPT/OPT/STEMOPT who will require future sponsorship, are not eligible to apply. ** Our USRM Data & Analytics Engineering (DAE ...

Data Engineer

Charlotte, NC ยท On-site

$111K - $134K/yr

Role: Data Engineer Location: Charlotte, NC (Hybrid - 3 Days Onsite, 2 Days Remote) Sponsorship: Available ( Only for candidates who already hold valid Hโ€‘1B status. ) Four plus years of Python ...

Data Engineer

Plano, TX ยท Hybrid

$110K - $132K/yr

Candidates who will require future sponsorship, including candidates on CPT/OPT/STEMOPT who will require future sponsorship, are not eligible to apply. ** Our USRM Data & Analytics Engineering (DAE ...

Data Engineer

Phoenix, AZ ยท On-site

$108K - $130K/yr

*We do not offer visa sponsorship and are unable to support work authorization or visa transfer of ... The Data Engineer plays a critical part in delivering validated, governed, and actionable data ...

Data Engineer

Phoenix, AZ ยท On-site

$108K - $130K/yr

*We do not offer visa sponsorship and are unable to support work authorization or visa transfer of ... The Data Engineer plays a critical part in delivering validated, governed, and actionable data ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

*We do not offer visa sponsorship and are unable to support work authorization or visa transfer of ... The Data Engineer plays a critical part in delivering validated, governed, and actionable data ...

Data Engineer

Dallas, TX ยท Hybrid

$113K - $136K/yr

Walmart - Sam's Club Data Engineer Sunnyvale - Hybrid 2-3 days onsite No subvending ideally they ... No Candidate must be authorized to work without sponsorship ::No Interview times set : :No Type of ...

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Data Engineer

Orlando, FL ยท On-site

$90K - $110K/yr

Data Engineer ONLY CONSIDERING CANDIDATES LIVING IN ORLANDO FLORIDA AREA ... MUST BE AUTHORIZED TO WORK IN THE US WITHOUT SPONSORSHIP. ONLY US CITIZENS AND PERMANENT RESIDENTS ...

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Data Engineer

Orlando, FL ยท On-site

$90K - $110K/yr

Data Engineer ONLY CONSIDERING CANDIDATES LIVING IN ORLANDO FLORIDA AREA ... MUST BE AUTHORIZED TO WORK IN THE US WITHOUT SPONSORSHIP. ONLY US CITIZENS AND PERMANENT RESIDENTS ...

Data Engineer Department / Division: Data Engineering & Enterprise Integrations/ Data Warehousing ... Amway does not provide immigration-related sponsorship for this role. Do not apply for this role if ...

Data Engineer

Orlando, FL

$106K - $128K/yr

No Sponsorship will be provided. This role is not open for C2C, 3rd party, or W2 Vendor Referrals! Job Summary The Data Engineer will partner with a wide range of business units to implement ...

Data Engineer

Alpharetta, GA

$107K - $129K/yr

Overview Data Engineer Alpharetta, GA (Onsite) Note ... Candidates must be authorized to work in the United States without current sponsorship. Aptean is ...

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Showing results 1-20

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 Jun 15, 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 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.

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.
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 June 2026, with employment types broken down into 87% Full Time, 2% Part Time, 4% Temporary, 5% Contract, and 2% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$107K - $128K/yr

Full-time

Posted 16 days ago


Job description

Description

Data Governance Platform Engineer

Description

At Liberty Mutual, technology isn't just a part of our business, it's what drives us forward. We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as an Agile team within a Fortune 100 company, we are on the front edge of an IT transformation for how people work and deliver solutions.

This is a hybrid role requiring 2 days in the office a week in the following locations: Plano, Indianapolis, Portsmouth, and Boston

**You must be authorized to work in the United States without employer sponsorship now or in the future. We will not sponsor employment visas. Candidates who will require future sponsorship, including candidates on CPT/OPT/STEMOPT who will require future sponsorship, are not eligible to apply.ย **

Ourย USRM Data & Analytics Engineering (DAE)ย team is looking for talented and motivatedย Data Engineer(s)ย to join ourย Data Governance Platform Engineering (DGP)ย team. In this pivotal role, you will work closely with other engineers, architects, and product partners to design, build, and evolve our enterprise data governance platforms. You will enable secure, high-quality, and well-managed data to power insights, analytics, and innovation across Liberty Mutual.The USRM Data & Analytics Engineering organization is partnering with our Data Office to modernize how enterprise data is governed, secured, and enabled for analytics at scale. Our Data Governance Platform Engineering team builds the foundational capabilities that power secure data access, policy enforcement, metadata management, data protection, and automation across Liberty Mutual's cloud data ecosystem. This is an opportunity to work on highly visible, enterprise-scale platforms that directly influence how data is consumed, protected, and trusted across the organization.

This role is ideal for engineers who enjoy solving complex platform and data security challenges, building scalable automation, and partnering across engineering, architecture, governance, and business teams to deliver modern data capabilities.ย 

Key Responsibilities:

Collaborate within a dynamic, high-performing agile team of engineers, scrum masters, and product owners to develop, enhance, and scale modern data governance platforms.

Apply your expertise in data governance, cloud infrastructure, and automation to build resilient, observable, and secure data solutions (e.g., monitoring, orchestration, load auditing, data security).

Leverage modern technology stacks (e.g., AWS, Java, coding agents) to build automation and repeatable data patterns that accelerate delivery and improve platform reliability.

Design and implement platform components to enable the secure ingestion, curation, classification, and provisioning of complex enterprise data for analytics and data science.

Analyze sophisticated data and technical problems, crafting innovative solutions that exceed customer and business expectations.

Handle end-to-end development, including coding, testing, and debugging during each cycle.

Ensure the robustness and quality of your solutions by developing comprehensive automated tests (unit, integration, regression) and applying best practices in code quality.

Mentor and guide junior team members, fostering a culture of growth, knowledge sharing, and continuous improvement.

Champion agile methodologies, collaborating across teams, and advocating for iterative improvement and a growth mindset.

Why Join Us?

Make a direct impact on the security, quality, and discoverability of Liberty Mutual's most critical data assets.

Be part of an innovative team shaping data governance and analytics.

Enjoy a collaborative, fast-paced, and supportive work environment with opportunities for professional growth and leadership.

Advance your skills working with modern cloud, data, and automation technologies.

Preferred Qualifications:

Platform engineering experience supporting Data Governance capabilities (e.g., data access controls, privacy, discovery, classification, masking).

Experience integrating AI/ML-assisted tools and practices into the SDLC to improve code quality, automate testing and deployment (e.g., AI-powered code review, test generation, CI/CD optimization), and accelerate delivery while maintaining governance and security controls.

Practical experience with AWS core services: CloudFormation, S3, EC2, Lambda, Step Functions, IAM.

Solid foundation in Java, Nodejs and familiarity with Python, JavaScript and/or TypeScript.

Understanding of API design concepts and best practices.

Advanced SQL skills.

Demonstrated problem-solving skills, eagerness to learn, and ability to work through ambiguity.

Team-oriented mindset and a passion for collaboration in a distributed agile environment.

Experience with Snowflake or similar cloud data platforms.

Familiarity with RBAC (Role-Based Access Control) implementation and other data security concepts.

Experience with Informatica/IDMC or other enterprise ETL and governance platforms.

Experience building or supporting enterprise platform services with a focus on scalability, resiliency, observability, and operational supportability.

Knowledge of Kafka and event-driven architecture.

Proficient in CI/CD tooling (e.g., GitHub, GitHub Actions, or comparable tools).

Experience with functional and integration testing in agile environments.

Experience using code quality and testing frameworks (e.g., unit tests, mocking/stubbing).

Experience troubleshooting distributed systems, performance bottlenecks, and enterprise-scale data platform issues.

Qualifications
  • Bachelor`s degree in technical or business discipline or equivalent experience
  • Generally, 3+ years of professional experience
  • Strong oral and written communication skills; presentation skills
  • Proficient in negotiation, facilitation and consensus building skills
  • Proficient in new and emerging technologies
  • Thorough knowledge of the following: IT concepts, strategies and methodologies
  • Business function(s) and of business operations
  • Design and development tools
  • Architectures and technical standards
  • Thorough knowledge of layered systems architectures and layered solutions and designs; understanding of shared data engineering concepts
  • Proficiency in multiple programming languages and tools
  • Understanding of agile data engineering concepts and processes Must be proactive and demonstrate initiative and be a logical thinker
  • Consultative skills, including the ability to understand and apply customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements
  • Collaboration, prioritization, and adaptability skills required
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
Employment Type: FULL_TIME