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Data Engineer Sponsorship Jobs in Nebraska (NOW HIRING)

Data Architect

Omaha, NE · On-site

$105K - $143K/yr

Data Engineering & Pipeline Development * Build ELT/ETL pipelines using modern cloud-native tools ... This position is not eligible for employment visa sponsorship, including visa transfers, now or in ...

Value Chain Unification - Unify data engineering, governance, and AI/automation into a single ... Please note that we are unable to provide visa sponsorship for this position. To be considered ...

Managing Director, Data & AI

Lincoln, NE · On-site

$230K - $250K/yr

Value Chain Unification - Unify data engineering, governance, and AI/automation into a single ... Please note that we are unable to provide visa sponsorship for this position. To be considered ...

ETL Data Conversion Analyst

Lincoln, NE · On-site

$67K - $120K/yr

Azure Database Administrator Associate or Azure Data Engineer Associate. * Experience with cloud ... Sponsorship: * You must currently possess valid and unrestricted U.S. work authorization to be ...

New

Job Title Data Security Engineer About your role: As a Data Security Engineer, you design ... Sponsorship: You must currently possess valid and unrestricted U.S. work authorization to be ...

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Showing results 1-20

Data Engineer Sponsorship information

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.

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

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

What cities in Nebraska are hiring for Data Engineer Sponsorship jobs?

Cities in Nebraska with the most Data Engineer Sponsorship job openings:

$92K - $125K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Senior Data Engineer - Encounter Processing & Data Platform
Location: Lincoln, NE (Remote/Onsite Flexibility)
Job Type: C2C
About the Role
Join a mission-critical team as a Senior Data Engineer, serving as the technical owner of an enterprise data processing platform supporting Medicaid Encounter Processing and enterprise data ingestion. You will lead the ongoing maintenance, enhancement, and reliability of a high-impact system built with Scala, Apache Spark, Hive, and Drools on the Cloudera Data Platform (CDP). In this pivotal role, you will ensure operational continuity for a platform processing provider, member, reference, and encounter data vital to downstream Medicaid systems and reporting.
Responsibilities
- Own and maintain the Scala/Spark application framework supporting Medicaid Encounter Processing.
- Lead production issue investigation, defect resolution, and root cause analysis for distributed data applications.
- Manage Drools business rule implementation and ongoing rule maintenance.
- Administer enterprise data ingestion for master data and source system files.
- Oversee Spark and Hive batch processing workflows for high-volume data processing.
- Coordinate production releases, version management, and deployment activities.
- Tune and optimize application performance to ensure system reliability and scalability.
- Develop and maintain comprehensive technical documentation and operational procedures.
- Monitor and provide basic operational administration of the Cloudera Data Platform, collaborating with infrastructure and cloud operations teams.
- Support regulatory and business-driven changes in a highly dynamic environment.
Required Skills and Experience
- 7+ years developing enterprise-scale distributed data processing applications.
- Proven hands-on development experience with Scala.
- Advanced expertise in Apache Spark (2.x/3.x), Apache Hive (3.x), and SQL.
- Experience maintaining applications on Cloudera Data Platform (CDP 7.x) or similar Hadoop distributions.
- In-depth experience implementing business rules using Drools Rules Engine.
- Proficiency supporting Linux-based production environments and troubleshooting distributed Spark applications.
- Strong background in Git and modern version control practices.
Preferred Skills
- Background in Medicaid, healthcare data, or Medicaid Encounter Processing.
- Experience with Cloudera Manager, HDFS, and YARN.
- Familiarity integrating with IBM DataStage.
- Understanding of AWS infrastructure supporting Cloudera environments.
- Experience working in Agile environments with Jira and Confluence.
Benefits
- Opportunity to serve as the primary technical owner of a mission-critical healthcare data platform.
- Exposure to cutting-edge big data tools and enterprise cloud technologies.
- Work in a collaborative, growth-driven environment with cross-functional teams.
- Direct impact on Medicaid systems and healthcare data delivery.
- Flexible work arrangements and a supportive culture that values technical expertise and innovation.
How to Apply
If you are an experienced Data Engineer passionate about enterprise-scale data platforms and ready to own critical healthcare technology, apply today with your updated resume. Candidates must be authorized to work in the United States without sponsorship.

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US