Cloud Data Engineer Visa Sponsorship Jobs in Indiana
Indiana's cloud data engineer job market centers on Indianapolis, with major employers like Salesforce, Eli Lilly, and Anthem (Elevance Health) driving demand for cloud and data talent. Financial services, life sciences, and logistics companies across the state regularly sponsor H-1B visas for these roles, and Purdue University's strong computer science pipeline feeds regional hiring.
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Get Access To All JobsINTRODUCTION
The Senior Data Engineer plays a critical role in the successful execution of Allied’s Data Strategy. This role will be focused on data acquisition, curation, and transformation of data into a usable asset. They will work cross-functionally to develop and deploy optimized data models and modern data architecture in support of strategic data and business initiatives. This role will serve as a subject matter expert for data domain knowledge, SQL, data design, and data processes across the enterprise. This individual will collaborate with teams across the organization to design and build end to end data flows for optimal business intelligence, advanced analytics, and data monetization efforts. Lastly, this role will contribute to core design of data architecture, data models, schemas, and inform future state Data Management and Data Strategy roadmaps.
ROLE AND RESPONSIBILITIES
- Creates detailed documentation of data warehouse, data stores, and end to end data flows
- Troubleshoots and corrects data and data processing errors in existing solutions
- Works with other technical teams as well as with internal and external users to develop technical designs
- Develops and continually refines the BI-focused data architecture
- Works closely with the Data Intelligence department to understand the data and reporting requirements from internal and external customers and the steps to take on the back-end data side to achieve the expected results
- Conducts gap analysis on source system databases against Allied’s enterprise data warehouse in support of Business Intelligence efforts
- Develops and maintains data sets and standardizes data collection and processing methodologies
- Provides technical advice and weighs in on technical decisions that impact cross functional teams
- Attends and contributes to architecture meetings to determine project scope, time frame and cost estimates
- Works on plan and technical architecture to extract, integrate, and or push data to or from third party providers
- Provides enterprise data solutions for Allied including ETL maintenance, warehouse data models, periodic upgrades, security, governance, and performance optimization
- Understands the data warehouse and data mart models as well as being familiar with the business information contained in each
- Locates and defines new process improvement opportunities or alternative technologies that will enhance speed to business value delivery with our data
- Collaborates with developers and subject matter experts to establish the technical vision and analyze tradeoffs between usability and performance needs
- Mentors other ETL Developers and Data Engineers
BASIC QUALIFICATIONS
- Bachelor’s Degree required, or equivalent education/work experience
- 5+ years of experience with data warehousing, databases (MS SQL Server, Snowflake), and dimensional modeling
- 5+ years of experience in end-to-end data analysis and development
- 3-5 years of experience in AWS cloud services (AWS Glue, Lambda, S3, etc.)
- 3-5 years of experience with Snowflake (Snowpipe, Snowpark, Streamlit, Streams/Tasks) (preferred)
- Extensive Experience with SQL required
- Experience with R or Python (preferred)
- Experience with Git and CI/CD (preferred)
- Strong attention to detail
- Familiarity with Object Oriented Analysis, Project Management, Business Analysis Methodology, and the SDLC
- Ability to collaborate effectively and work as part of a team
- Customer-oriented, with a desire to resolve problems to the customer's satisfaction while maintaining focus on productivity, efficiency, and quality
- Effective communicator to clients, management, and project partners
- Experience with cloud-based technologies and services (SaaS, PaaS, IaaS) (preferred)
- Experience with Master Data Management (preferred)
- Strong analytical and product management skills required, including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
COMPENSATION
We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
To view our privacy statement click here
To view our terms and conditions click here
INTRODUCTION
The Senior Data Engineer plays a critical role in the successful execution of Allied’s Data Strategy. This role will be focused on data acquisition, curation, and transformation of data into a usable asset. They will work cross-functionally to develop and deploy optimized data models and modern data architecture in support of strategic data and business initiatives. This role will serve as a subject matter expert for data domain knowledge, SQL, data design, and data processes across the enterprise. This individual will collaborate with teams across the organization to design and build end to end data flows for optimal business intelligence, advanced analytics, and data monetization efforts. Lastly, this role will contribute to core design of data architecture, data models, schemas, and inform future state Data Management and Data Strategy roadmaps.
ROLE AND RESPONSIBILITIES
- Creates detailed documentation of data warehouse, data stores, and end to end data flows
- Troubleshoots and corrects data and data processing errors in existing solutions
- Works with other technical teams as well as with internal and external users to develop technical designs
- Develops and continually refines the BI-focused data architecture
- Works closely with the Data Intelligence department to understand the data and reporting requirements from internal and external customers and the steps to take on the back-end data side to achieve the expected results
- Conducts gap analysis on source system databases against Allied’s enterprise data warehouse in support of Business Intelligence efforts
- Develops and maintains data sets and standardizes data collection and processing methodologies
- Provides technical advice and weighs in on technical decisions that impact cross functional teams
- Attends and contributes to architecture meetings to determine project scope, time frame and cost estimates
- Works on plan and technical architecture to extract, integrate, and or push data to or from third party providers
- Provides enterprise data solutions for Allied including ETL maintenance, warehouse data models, periodic upgrades, security, governance, and performance optimization
- Understands the data warehouse and data mart models as well as being familiar with the business information contained in each
- Locates and defines new process improvement opportunities or alternative technologies that will enhance speed to business value delivery with our data
- Collaborates with developers and subject matter experts to establish the technical vision and analyze tradeoffs between usability and performance needs
- Mentors other ETL Developers and Data Engineers
BASIC QUALIFICATIONS
- Bachelor’s Degree required, or equivalent education/work experience
- 5+ years of experience with data warehousing, databases (MS SQL Server, Snowflake), and dimensional modeling
- 5+ years of experience in end-to-end data analysis and development
- 3-5 years of experience in AWS cloud services (AWS Glue, Lambda, S3, etc.)
- 3-5 years of experience with Snowflake (Snowpipe, Snowpark, Streamlit, Streams/Tasks) (preferred)
- Extensive Experience with SQL required
- Experience with R or Python (preferred)
- Experience with Git and CI/CD (preferred)
- Strong attention to detail
- Familiarity with Object Oriented Analysis, Project Management, Business Analysis Methodology, and the SDLC
- Ability to collaborate effectively and work as part of a team
- Customer-oriented, with a desire to resolve problems to the customer's satisfaction while maintaining focus on productivity, efficiency, and quality
- Effective communicator to clients, management, and project partners
- Experience with cloud-based technologies and services (SaaS, PaaS, IaaS) (preferred)
- Experience with Master Data Management (preferred)
- Strong analytical and product management skills required, including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
COMPENSATION
We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
To view our privacy statement click here
To view our terms and conditions click here
Cloud Data Engineer Job Roles in Indiana
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Search Cloud Data Engineer Jobs in IndianaCloud Data Engineer Jobs in Indiana: Frequently Asked Questions
Which companies in Indiana sponsor visas for cloud data engineers?
Eli Lilly, Salesforce, Anthem (now Elevance Health), and Cummins have consistent H-1B sponsorship histories for cloud and data engineering roles in Indiana. Financial services firms like OneAmerica and Centaur Financial Group also sponsor, as do large logistics and manufacturing companies with significant data infrastructure needs headquartered in Indianapolis and surrounding areas.
Which visa types are most common for cloud data engineer roles in Indiana?
The H-1B is the most common visa category for cloud data engineers in Indiana, given that the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information technology, or a related field. Some candidates also enter on OPT or STEM OPT extensions before employer-sponsored H-1B petitions are filed. L-1B transfers occur at multinationals with Indiana offices.
Which cities in Indiana have the most cloud data engineer sponsorship jobs?
Indianapolis accounts for the large majority of cloud data engineer sponsorship activity in Indiana, driven by its concentration of healthcare, insurance, and technology employers. Carmel and Fishers, both fast-growing Indianapolis suburbs, have become notable tech corridors with expanding company campuses. West Lafayette is worth monitoring given Purdue University's research partnerships and the tech companies that cluster nearby to access that talent pipeline.
How to find cloud data engineer visa sponsorship jobs in Indiana?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search cloud data engineer roles in Indiana without sifting through postings from employers who don't sponsor. The platform is built for international candidates and surfaces openings from Indiana employers with active H-1B sponsorship histories. Filtering by state and role on Migrate Mate saves significant time compared to unfiltered job searches.
Are there any Indiana-specific considerations for cloud data engineers seeking visa sponsorship?
Indiana employers must pay H-1B workers the prevailing wage for the relevant occupation and metropolitan statistical area, which for Indianapolis is set by the Department of Labor and reflects regional market rates. Purdue University graduates in computer science and data engineering are a well-known local talent pipeline, so employers there are generally familiar with OPT-to-H-1B transitions. The state's lower cost of living relative to coastal tech hubs can make compensation packages more competitive in real terms.
What is the prevailing wage for sponsored cloud data 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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