Data Analytics Engineer Visa Sponsorship Jobs in Indiana
Indiana's data analytics engineer market centers on Indianapolis, with growing demand from healthcare systems like IU Health and Eli Lilly, financial services firms, and manufacturing technology companies. Purdue University and Indiana University feed strong local talent pipelines, and employers across the state actively file H-1B petitions for qualified data analytics engineers each year.
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Lennox (NYSE: LII) Driven by 130 years of legacy, HVAC and refrigeration success, Lennox provides our residential and commercial customers with industry-leading climate-control solutions. At Lennox, we win as a team, aiming for excellence and delivering innovative, sustainable products and services. Our culture guides us and creates a workplace where all employees feel heard and welcomed. Lennox is a global community that values each team member’s contributions and offers a supportive environment for career development. Come, stay, and grow with us.
Job Description
* The Analytics Engineer is primarily responsible for the design, development of Databricks, Qlik Sense QVDs and Apps.
* Resource will also involve in the support activities like Data Refresh monitoring, Deployments, etc.
* The resource will work independently in Development and support activities under a minimum guidance of Lead Architect.
* The Resource will work alongside other Analytics Engineers, Data Engineers, Business Users and other stakeholders to design and deploy end to end Reporting solutions in Qlik Sense.
Qualifications
Required Qualifications:
Bachelor’s Degree – Engineering or Computer Science
Prefer Masters – MCA in case of Bachelor’s in Computer Science
2+ years of experience in DataBricks.
4+ years overall Visualization experience – Qlik Sense
Hands on experience in Qlik Deployment and Refresh monitoring
Strong knowledge in Notebooks in DataBricks.
Strong knowledge in Nprinting Qlik Deployment
Experience in working in Hana / BW
Good knowledge in modelling and Development of QVDs and Qlik Apps.
Has worked in implementation of at least 2 significant Qlik project
Able to work with functional and technical teams
Strong communication (written and oral) and interpersonal skills
Additional Desired Qualifications
Any other Front end reporting tool – like Power BI
Any Data preparation tool – like Alteryx
Experience working on a team operating under an Agile delivery methodology
Excellent analytical and problem-solving skills
Company Profile
Lennox (NYSE: LII) Driven by 130 years of legacy, HVAC and refrigeration success, Lennox provides our residential and commercial customers with industry-leading climate-control solutions. At Lennox, we win as a team, aiming for excellence and delivering innovative, sustainable products and services. Our culture guides us and creates a workplace where all employees feel heard and welcomed. Lennox is a global community that values each team member’s contributions and offers a supportive environment for career development. Come, stay, and grow with us.
Job Description
* The Analytics Engineer is primarily responsible for the design, development of Databricks, Qlik Sense QVDs and Apps.
* Resource will also involve in the support activities like Data Refresh monitoring, Deployments, etc.
* The resource will work independently in Development and support activities under a minimum guidance of Lead Architect.
* The Resource will work alongside other Analytics Engineers, Data Engineers, Business Users and other stakeholders to design and deploy end to end Reporting solutions in Qlik Sense.
Qualifications
Required Qualifications:
Bachelor’s Degree – Engineering or Computer Science
Prefer Masters – MCA in case of Bachelor’s in Computer Science
2+ years of experience in DataBricks.
4+ years overall Visualization experience – Qlik Sense
Hands on experience in Qlik Deployment and Refresh monitoring
Strong knowledge in Notebooks in DataBricks.
Strong knowledge in Nprinting Qlik Deployment
Experience in working in Hana / BW
Good knowledge in modelling and Development of QVDs and Qlik Apps.
Has worked in implementation of at least 2 significant Qlik project
Able to work with functional and technical teams
Strong communication (written and oral) and interpersonal skills
Additional Desired Qualifications
Any other Front end reporting tool – like Power BI
Any Data preparation tool – like Alteryx
Experience working on a team operating under an Agile delivery methodology
Excellent analytical and problem-solving skills
Data Analytics Engineer Job Roles in Indiana
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Search Data Analytics Engineer Jobs in IndianaData Analytics Engineer Jobs in Indiana: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in Indiana?
Eli Lilly, Salesforce's Indianapolis operations, and major healthcare systems like IU Health and Ascension are among the Indiana-based employers with documented H-1B sponsorship histories in data and analytics roles. Financial technology companies and manufacturing firms headquartered in Indianapolis also regularly file petitions for data analytics engineers. Sponsorship activity is concentrated in the Indianapolis metro area, though Bloomington and West Lafayette see hiring from university-affiliated employers.
Which visa types are most common for data analytics engineer roles in Indiana?
The H-1B is the most commonly used visa category for data analytics engineers in Indiana, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Some candidates enter through OPT or STEM OPT extensions after graduating from Indiana's universities before transitioning to employer-sponsored H-1B status. The O-1A is an option for those with demonstrated exceptional ability, though it requires a higher evidentiary bar.
Which cities in Indiana have the most data analytics engineer sponsorship jobs?
Indianapolis accounts for the large majority of data analytics engineer sponsorship activity in Indiana, driven by its concentration of healthcare, pharmaceutical, and financial services employers. Bloomington has a smaller but active market connected to Indiana University's research and technology sector. West Lafayette sees demand tied to Purdue University and nearby technology companies. Outside these three cities, sponsorship opportunities for this specific role become significantly less common across the state.
How to find data analytics engineer visa sponsorship jobs in Indiana?
Migrate Mate is the most direct way to find data analytics engineer roles in Indiana where employers are open to visa sponsorship. The platform filters specifically for sponsorship-friendly postings, saving you from sifting through listings that don't apply to your situation. Focus searches on Indianapolis-area employers in healthcare, pharma, and fintech, as those sectors show the strongest sponsorship patterns for data analytics engineering roles in the state.
Are there any Indiana-specific considerations for data analytics engineers seeking visa sponsorship?
Indiana employers filing H-1B petitions for data analytics engineers must meet the Department of Labor's prevailing wage requirements for the Indianapolis or relevant metropolitan area, which are determined by the role's SOC code and experience level. Indiana's lower cost of living compared to coastal tech markets can make offered wages competitive relative to local standards while still satisfying federal prevailing wage rules. Candidates with degrees from Purdue or Indiana University may find local employer networks easier to access given those institutions' strong regional employer relationships.
What is the prevailing wage for sponsored data analytics engineer jobs in Indiana?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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