Big Data Engineer Visa Sponsorship Jobs in Minnesota
Big data engineer visa sponsorship jobs in Minnesota are concentrated at companies like Target, Best Buy, UnitedHealth Group, and 3M, with Minneapolis-Saint Paul anchoring the state's data engineering market. Minnesota's large healthcare, retail, and financial services sectors generate steady demand for Hadoop, Spark, and cloud pipeline specialists seeking employer-sponsored roles.
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INTRODUCTION
The Life Time Technology team is at the forefront of the evolution of Life Time into a digital-first company, transforming existing experiences and creating brand new ones both online and in our clubs. If you enjoy a fast-paced environment with the latest technologies and have a passion for health and fitness – we should meet. Work is a team effort, and we are a highly motivated, highly collaborative team; we always win or lose together. We invest in our team members and ensure they have the tools and opportunities to learn, grow and thrive. We offer an incredible benefits package, generous club discounts, and a fully subsidized Signature Life Time Membership. Want to Love Your Life? Join our team.
Position Summary
As a Data Security Engineer at Life Time, you will protect the information our members, vendors, and employees trust us with, from member records across our clubs to payment and health data.
You are the Security team’s subject matter expert for data protection. Your primary goal is to protect Life Time’s data from unauthorized access, misuse, and loss, whether the threat is internal or external. You run our data security posture management (DSPM) platform, turn its findings into fixes with data owners, and partner with data, engineering, privacy, legal, and compliance teams to secure sensitive data across our on-premises, cloud, and SaaS environments. When a data incident happens, you help us respond quickly and thoroughly. You also advocate for secure data handling practices across the company.
Working with the Security Architect, you will help shape our data loss prevention program as we select and roll out enforcement tooling, and help the business adopt AI tools and assistants without oversharing sensitive data. This role suits someone who enjoys hands-on engineering, can explain technical risk in plain language, and wants to see their work measurably reduce exposure.
JOB DUTIES AND RESPONSIBILITIES
- Partner with technology, data, and analytics teams to build data protection and privacy by design into new systems, data pipelines, and products
- Operate and tune our DSPM platform to discover and classify sensitive data (PII, payment card data, health information, and confidential business data) across cloud, SaaS, and on-premises environments
- Drive remediation of overexposed, misclassified, and abandoned data with data owners, including data exposed to AI tools and assistants
- Help select, deploy, and tune data loss prevention (DLP) controls across endpoint, email, web, and SaaS channels, using data classification results to drive policy
- Partner with infrastructure and the Security Architect to review and improve encryption, tokenization, masking, and key management for data at rest and in transit
- Enforce least-privilege access to sensitive data and secure cloud data platforms through access reviews, guardrails, and remediation
- Triage data detection and response alerts and build alerting for anomalous data access and exfiltration with our Security Operations Center
- Participate in incident response involving data exposure as a responder, subject matter expert, and/or liaison to technology, legal, and business teams
- Develop data security standards, procedures, runbooks, and automations, support compliance efforts (e.g., PCI DSS, HIPAA for applicable business units, state privacy laws), and share data security knowledge with Security Analysts
POSITION REQUIREMENTS
- Bachelor’s Degree in Computer Science, Information Security, or related field or equivalent combination of education and experience
- 3+ years of experience in cybersecurity or a similar role, including at least 2 years focused on data security or data protection
- Extensive understanding of modern data security concepts and privacy-by-design principles
- Deep understanding of one or more security or privacy frameworks (NIST CSF, NIST Privacy Framework, CIS, etc.) and how to incorporate them
- Hands-on experience with at least two of the following: DSPM, data classification, DLP, or data access governance tools
- Working knowledge of encryption, tokenization, and key management concepts (PKI, cloud KMS)
- Experience securing data in public cloud, cloud data warehouse, and SaaS productivity environments
- Familiarity with PCI DSS, HIPAA, and U.S. state privacy laws (e.g., CCPA/CPRA)
- Familiarity with SIEM and logging platforms, SQL, and scripting (Python, PowerShell, or similar)
- Excellent customer service, communication, and documentation skills
PAY
This is a salaried position starting at $94,000.00 (or applicable minimum salary, if higher) and pays up to $129,000.00, based on experience and qualifications.
BENEFITS
All team members receive the following benefits while working for Life Time:
- A fully subsidized membership
- Discounts on Life Time products and services
- 401(k) retirement savings plan with company discretionary match (21 years of age and older)
- Training and professional development
- Paid sick leave where required by law
Full-time Team Members are eligible for additional benefits, including:
- Medical, dental, vision, and prescription drug coverage
- Short term and long term disability insurance
- Life insurance
- Pre-tax flexible spending and dependent care plans
- Parental leave and adoption assistance
- Paid time off, including 5 to 20 vacation days per calendar year (based on tenure) and paid sick leave
- Deferred compensation plan, if the team member meets the required income threshold
Life Time is a place for everyone. As an organization, we are committed to an inclusive, diverse and equitable workplace that respects and celebrates the unique contributions of each individual while ensuring we remain an equal opportunity employer that recruits, hires, trains and promotes based on merit and qualifications.
Big Data Engineer Job Roles in Minnesota
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Search Big Data Engineer Jobs in MinnesotaBig Data Engineer Jobs in Minnesota: Frequently Asked Questions
Which companies in Minnesota sponsor visas for big data engineers?
Minnesota's largest visa sponsors for data engineering roles include UnitedHealth Group and its Optum subsidiary, Target Corporation, Best Buy, and 3M. Financial institutions such as U.S. Bank and Ameriprise Financial also file regularly for data engineering positions. These employers have established immigration programs and a history of filing Labor Condition Applications for technology and analytics roles in the Twin Cities metro.
Which visa types realistically apply to big data engineer roles in Minnesota?
Big data engineer roles qualify as specialty occupations under the H-1B visa, requiring a bachelor's degree in computer science, information systems, or a closely related field. H-1B1 visa applies to Chilean and Singaporean nationals. E-3 visa applies to Australian nationals. Canadian and Mexican nationals may qualify under TN visa as engineers, provided their degree aligns with the engineering profession. F-1 students may work via OPT or, with a qualifying STEM-designated degree, the 24-month STEM OPT extension.
How to find big data engineer visa sponsorship jobs in Minnesota?
Migrate Mate lists Minnesota employers with verified sponsorship histories for big data engineer roles, covering companies across Minneapolis, Saint Paul, and the broader Twin Cities metro. You can search by role and location to see which Minnesota employers have active or recent filings relevant to data engineering. This saves time compared to researching employers individually and helps you focus applications on companies already familiar with the sponsorship process.
Which cities in Minnesota have the most big data engineer visa sponsorship jobs?
Minneapolis and Saint Paul together form the primary hub for big data engineering sponsorship in Minnesota, home to corporate headquarters for Target, UnitedHealth Group, U.S. Bank, and Ameriprise Financial. Bloomington and Minnetonka host additional technology and healthcare operations. Rochester, home to Mayo Clinic, generates demand for data engineers in clinical analytics. The vast majority of sponsored positions are concentrated in the seven-county Twin Cities metropolitan area.
Are there any Minnesota-specific factors that affect big data engineer sponsorship?
Minnesota's healthcare sector is unusually large relative to the state's size, with UnitedHealth Group, Optum, and Mayo Clinic driving consistent demand for big data engineers who can work with clinical and insurance datasets. The University of Minnesota produces a pipeline of data science graduates who compete for local roles. Minnesota employers in retail and financial services have also scaled data platform teams significantly, making the state a more active sponsorship market than its size might suggest.
What is the prevailing wage for sponsored big data engineer jobs in Minnesota?
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.