Data Engineer Visa Sponsorship Jobs in Montana
Data engineer visa sponsorship jobs in Montana are concentrated in Billings, Missoula, and Bozeman, where healthcare systems like RiverStone Health, university research operations at Montana State University, and regional technology firms drive demand. Montana's growing tech sector and natural resource industries increasingly rely on data infrastructure talent, making it an emerging market for sponsored roles.
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INTRODUCTION
We are looking for an experienced Senior Software Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges. This role will be based out of North America.
ROLE AND RESPONSIBILITIES
The ideal candidate for this role will have:
- 6+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
- Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
- Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
- Exposure to client-side technologies such as JavaScript and React is a plus
- Good understanding of algorithms, data structures and their time and space complexity
- Curiosity, a positive attitude, and a drive to continue learning
- Excellent verbal and written communication skills
Position Expectations
- Contribute high-quality, well-tested backend code to the data migration engine and its surrounding services
- Collaborate effectively with Product Management, other engineers, and designers to build and deliver on the product roadmap
- Participate actively in code reviews to enforce best practices and patterns
- Help troubleshoot and resolve complex technical issues in our distributed systems
- Give and solicit feedback on technical design documents and pull requests
- Perform tasks related to process such as CI/CD, quality, testing, etc
Success Measures
Within the first three months, you will have:
- Familiarized yourself with the MongoDB database and aggregation language
- Familiarized yourself with the backend tech stack including Java, Spring Boot, and Kafka
- Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
- Started collaborating with your peers and contributed to code reviews
Within six months, you will have:
- Familiarized yourself with the rest of our application modernization tool stack
- Delivered at least one large scale feature that spans the entire tech stack
- Reviewed and contributed to scope and technical design documents
Within 12 months, you will have:
- Become a key contributor to our backend stack, capable of taking on complex features independently
- Helped recruit and interview new members of the team
- Collaborated effectively with other teams at MongoDB on cross-functional projects
ABOUT MONGODB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
COMPENSATION
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB’s base salary range for this role in the U.S. is: $118,000—$231,000 USD

INTRODUCTION
We are looking for an experienced Senior Software Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges. This role will be based out of North America.
ROLE AND RESPONSIBILITIES
The ideal candidate for this role will have:
- 6+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
- Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
- Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
- Exposure to client-side technologies such as JavaScript and React is a plus
- Good understanding of algorithms, data structures and their time and space complexity
- Curiosity, a positive attitude, and a drive to continue learning
- Excellent verbal and written communication skills
Position Expectations
- Contribute high-quality, well-tested backend code to the data migration engine and its surrounding services
- Collaborate effectively with Product Management, other engineers, and designers to build and deliver on the product roadmap
- Participate actively in code reviews to enforce best practices and patterns
- Help troubleshoot and resolve complex technical issues in our distributed systems
- Give and solicit feedback on technical design documents and pull requests
- Perform tasks related to process such as CI/CD, quality, testing, etc
Success Measures
Within the first three months, you will have:
- Familiarized yourself with the MongoDB database and aggregation language
- Familiarized yourself with the backend tech stack including Java, Spring Boot, and Kafka
- Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
- Started collaborating with your peers and contributed to code reviews
Within six months, you will have:
- Familiarized yourself with the rest of our application modernization tool stack
- Delivered at least one large scale feature that spans the entire tech stack
- Reviewed and contributed to scope and technical design documents
Within 12 months, you will have:
- Become a key contributor to our backend stack, capable of taking on complex features independently
- Helped recruit and interview new members of the team
- Collaborated effectively with other teams at MongoDB on cross-functional projects
ABOUT MONGODB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
COMPENSATION
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB’s base salary range for this role in the U.S. is: $118,000—$231,000 USD
Data Engineer Job Roles in Montana
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Search Data Engineer Jobs in MontanaData Engineer Jobs in Montana: Frequently Asked Questions
Which companies sponsor visas for data engineers in Montana?
Montana's data engineer sponsorship activity is led by healthcare organizations such as Billings Clinic and RiverStone Health, along with Montana State University and the University of Montana for research-oriented roles. Regional energy and natural resource companies with data infrastructure needs also appear in Department of Labor disclosure data. Sponsorship is more selective in Montana than in larger tech markets, so targeted research by employer is worthwhile.
Which visa types are most common for data engineer roles in Montana?
The H-1B is the most common visa category for data engineer positions in Montana, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Some university-affiliated positions may involve J-1 or O-1 categories. Canadian and Mexican nationals may be eligible for TN status, which covers computer systems analysts and similar technical roles under USMCA.
Which cities in Montana have the most data engineer sponsorship jobs?
Billings is Montana's largest city and the primary hub for sponsored data engineer roles, driven by its healthcare, finance, and energy sectors. Bozeman follows closely, supported by Montana State University's research programs and a small but active technology startup community. Missoula also generates openings, particularly through the University of Montana and regional healthcare employers. Helena sees occasional postings tied to state government and adjacent contractors.
How to find data engineer visa sponsorship jobs in Montana?
Migrate Mate filters job listings specifically for roles that include visa sponsorship, making it easier to identify data engineer positions in Montana without sorting through listings that don't apply to international candidates. Because Montana's sponsoring employer pool is smaller than coastal markets, using a focused tool like Migrate Mate, rather than broad general searches, helps surface relevant openings from healthcare systems, universities, and regional technology firms more efficiently.
Are there state-specific considerations for data engineers seeking sponsorship in Montana?
Montana follows federal prevailing wage requirements for H-1B positions, which are determined by the Department of Labor based on the Missoula, Billings, or Great Falls metropolitan statistical areas depending on work location. Because Montana's labor market is smaller, wage levels in some classifications may differ from national benchmarks. Montana State University in Bozeman also functions as a meaningful talent pipeline, and some graduates transition directly into sponsored roles with regional employers or remote positions with out-of-state sponsors.
What is the prevailing wage for sponsored data engineer jobs in Montana?
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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