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Data Engineer Sponsorship Jobs (NOW HIRING)

Fusemachines

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Direct Company Sponsorship: Such as H-1B, J-1, or TN visas. * Employer of Record: Listing ... Azure Data Engineer Associate * Microsoft Exam: Designing and Implementing Microsoft DevOps ...

Fusemachines

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Direct Company Sponsorship: Such as H-1B, J-1, or TN visas. * Employer of Record: Listing ... Azure Data Engineer Associate * Microsoft Exam: Designing and Implementing Microsoft DevOps ...

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

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Sinton, TX Steel Dynamics will not provide sponsorship for employment visa status now or in the ... Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ...

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 ...

Mondo

Data Engineer

Manhattan, NY · Hybrid

$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 ...

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 ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Sinton, TX Steel Dynamics will not provide sponsorship for employment visa status now or in the ... Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Sinton, TX Steel Dynamics will not provide sponsorship for employment visa status now or in the ... Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ...

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 ...

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 ...

AMB Sports & Entertainment

Data Engineer

Mercedes, TX · On-site

$107K - $129K/yr

... sponsorship data * Develop and maintain production-grade Python applications and scripts for data ... Engineer solutions on Databricks or Snowflake for large-scale data processing, lakehouse ...

Institute of Foundation Models

Data Engineer

Sunnyvale, CA

$134K - $161K/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 ...

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

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

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All JobsData Engineer Sponsorship Jobs

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 Jul 8, 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:
What job categories do people searching Data Engineer Sponsorship jobs look for? The top searched job categories for Data Engineer Sponsorship jobs are:
Data Engineer Sponsorship jobs near you
Infographic showing various Data Engineer Sponsorship job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 5% Part Time, and 21% Contract. Highlights an 68% In-person, 11% Hybrid, and 21% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

Fusemachines

New York, NY • On-site

$125K - $150K/yr

Contractor

Posted 28 days ago

Job description

About Fusemachines
Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients' AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
Important: Immigration Sponsorship Policy
This position is not elegible for employment visa sponsorship or transfer sponsorship now or in the future.
  • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas.
  • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation.
  • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).

About the role
This is a remote full-time consulting position responsible for designing, building, and maintaining the infrastructure required for data integration, storage, processing, and analytics (BI, visualization and Advanced Analytics).
We are looking for a skilled Senior Data Engineer with a strong background in Python, SQL, PySpark, Azure, Databricks, Synapse, Azure Data Lake, DevOps and cloud-based large scale data applications with a passion for data quality, performance and cost optimization. The ideal candidate will develop in an Agile environment, contributing to the architecture, design, and implementation of Data products, including migration from Synapse to Azure Data Lake. This role involves hands-on coding, mentoring junior staff and collaboration with multi-disciplined teams to achieve project objectives.
Qualification & Experience
  • Must have a full-time Bachelor's degree in Computer Science or similar
  • At least 3 years of experience as a data engineer with strong expertise in Databricks, Azure, DevOps, or other hyperscalers.
  • 3+ years of experience with Azure DevOps, GitHub.
  • Proven experience delivering large scale projects and products for Data and Analytics, as a data engineer, including migrations.
  • Following certifications:
    • Databricks Certified Associate Developer for Apache Spark
    • Databricks Certified Data Engineer Associate
    • Microsoft Certified: Azure Fundamentals
    • Microsoft Certified: Azure Data Engineer Associate
    • Microsoft Exam: Designing and Implementing Microsoft DevOps Solutions (nice to have)

Required skills/Competencies
  • Strong programming Skills in one or more languages such as Python (must have), Scala, and proficiency in writing efficient and optimized code for data integration, migration, storage, processing and manipulation.
  • Strong understanding and experience with SQL and writing advanced SQL queries.
  • Thorough understanding of big data principles, techniques, and best practices.
  • Strong experience with scalable and distributed Data Processing Technologies such as Spark/PySpark (must have: experience with Azure Databricks), DBT and Kafka, to be able to handle large volumes of data.
  • Solid Databricks development experience with significant Python, PySpark, Spark SQL, Pandas, NumPy in Azure environment.
  • Strong experience in designing and implementing efficient ELT/ETL processes in Azure and Databricks and using open source solutions being able to develop custom integration solutions as needed.
  • Skilled in Data Integration from different sources such as APIs, databases, flat files, event streaming.
  • Expertise in data cleansing, transformation, and validation.
  • Proficiency with Relational Databases (Oracle, SQL Server, MySQL, Postgres, or similar) and NonSQL Databases (MongoDB or Table).
  • Good understanding of Data Modeling and Database Design Principles. Being able to design and implement efficient database schemas that meet the requirements of the data architecture to support data solutions.
  • Strong experience in designing and implementing Data Warehousing, data lake and data lake house, solutions in Azure and Databricks.
  • Good experience with Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT).
  • Strong understanding of the software development lifecycle (SDLC), especially Agile methodologies.
  • Strong knowledge of SDLC tools and technologies Azure DevOps and GitHub, including project management software (Jira, Azure Boards or similar), source code management (GitHub, Azure Repos or similar), CI/CD system (GitHub actions, Azure Pipelines, Jenkins or similar) and binary repository manager (Azure Artifacts or similar).
  • Strong understanding of DevOps principles, including continuous integration, continuous delivery (CI/CD), infrastructure as code (IaC - Terraform, ARM including hands-on experience), configuration management, automated testing, performance tuning and cost management and optimization.
  • Strong knowledge in cloud computing specifically in Microsoft Azure services related to data and analytics, such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, Azure Stream Analytics, SQL Server, Azure Blob Storage, Azure Data Lake Storage, Azure SQL Database, etc.
  • Experience in Orchestration using technologies like Databricks workflows and Apache Airflow.
  • Strong knowledge of data structures and algorithms and good software engineering practices.
  • Proven experience migrating from Azure Synapse to Azure Data Lake, or other technologies.
  • Strong analytical skills to identify and address technical issues, performance bottlenecks, and system failures.
  • Proficiency in debugging and troubleshooting issues in complex data and analytics environments and pipelines.
  • Good understanding of Data Quality and Governance, including implementation of data quality checks and monitoring processes to ensure that data is accurate, complete, and consistent.
  • Experience with BI solutions including PowerBI is a plus.
  • Strong written and verbal communication skills to collaborate and articulate complex situations concisely with cross-functional teams, including business users, data architects, DevOps engineers, data analysts, data scientists, developers, and operations teams.
  • Ability to document processes, procedures, and deployment configurations.
  • Understanding of security practices, including network security groups, Azure Active Directory, encryption, and compliance standards.
  • Ability to implement security controls and best practices within data and analytics solutions, including proficient knowledge and working experience on various cloud security vulnerabilities and ways to mitigate them.
  • Self-motivated with the ability to work well in a team, and experienced in mentoring and coaching different members of the team.
  • A willingness to stay updated with the latest services, Data Engineering trends, and best practices in the field.
  • Comfortable with picking up new technologies independently and working in a rapidly changing environment with ambiguous requirements.
  • Care about architecture, observability, testing, and building reliable infrastructure and data pipelines.

Responsibilities
  • Architect, design, develop, test and maintain high-performance, large-scale, complex data architectures, which support data integration (batch and real-time, ETL and ELT patterns from heterogeneous data systems: APIs and platforms), storage (data lakes, warehouses, data lake houses, etc), processing, orchestration and infrastructure. Ensuring the scalability, reliability, and performance of data systems, focusing on Databricks and Azure.
  • Contribute to detailed design, architectural discussions, and customer requirements sessions.
  • Actively participate in the design, development, and testing of big data products..
  • Construct and fine-tune Apache Spark jobs and clusters within the Databricks platform.
  • Migrate out of Azure Synapse to Azure Data Lake or other technologies.
  • Assess best practices and design schemas that match business needs for delivering a modern analytics solution (descriptive, diagnostic, predictive, prescriptive).
  • Design and implement data models and schemas that support efficient data processing and analytics.
  • Design and develop clear, maintainable code with automated testing using Pytest, unittest, integration tests, performance tests, regression tests, etc.
  • Collaborating with cross-functional teams and Product, Engineering, Data Scientists and Analysts to understand data requirements and develop data solutions, including reusable components meeting product deliverables.
  • Evaluating and implementing new technologies and tools to improve data integration, data processing, storage and analysis.
  • Evaluate, design, implement and maintain data governance solutions: cataloging, lineage, data quality and data governance frameworks that are suitable for a modern analytics solution, considering industry-standard best practices and patterns.
  • Continuously monitor and fine-tune workloads and clusters to achieve optimal performance.
  • Provide guidance and mentorship to junior team members, sharing knowledge and best practices.
  • Maintain clear and comprehensive documentation of the solutions, configurations, and best practices implemented.
  • Promote and enforce best practices in data engineering, data governance, and data quality.
  • Ensure data quality and accuracy.
  • Design, Implement and maintain data security and privacy measures.
  • Be an active member of an Agile team, participating in all ceremonies and continuous improvement activities, being able to work independently as well as collaboratively.

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local.

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