Data Engineer Jobs at MongoDB with Visa Sponsorship
MongoDB's data engineering roles sit at the core of its developer data platform, working across distributed systems, pipelines, and Atlas infrastructure. MongoDB has a consistent track record of sponsoring international talent for technical roles, making it a realistic target if you're navigating H-1B, E-3, or OPT pathways.
See All Data Engineer at MongoDB JobsOverview
Showing 5 of 35+ Data Engineer Jobs at MongoDB jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 35+ Data Engineer Jobs at MongoDB
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer Jobs at MongoDB.
Get Access To All JobsINTRODUCTION
The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges. We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI.
ROLE AND RESPONSIBILITIES
The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle. We are looking to speak to candidates who are based in Palo Alto for our hybrid working model.
BASIC QUALIFICATIONS
- 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
- Deep experience in building data warehouses and core components for data processing systems
- Experience in using GenAI in building complex large-scale systems, and know what GenAI is best suited to do
- Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation
- 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results
- Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
- Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
- Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset
Key Responsibilities
- Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
- Provide thought leadership, and execute AMP roadmaps to influence and shape the future of how global enterprises leverage GenAI
- Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization stages
- Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
- Collaborate with MongoDB product teams to ensure the modernized applications integrate seamlessly with customers’ database ecosystem
- Act as a hands-on leader, guiding the team through technical challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization toolset
Success Measures
Within the first three months, you will have:
- Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments
- Established yourself as the technical leader within the team, actively driving engineering strategy and key technical decisions
- Begun collaborating with team leaders (TLs, managers) of AMP org and product counterparts on designing/improving the orchestration framework and the workflow components it manages
- Developed a comprehensive grasp of all AMP pillars and their roadmap
Within six months, you will have:
- Influenced AMP product and engineering leads on key technical decisions, and set clear direction for the team
- Successfully led the team to making substantial progress on the “big rock” deliverables and critical milestones of AMP product, enabling the team to smoothly land the planned roadmap
- Owned and delivered some key pieces of AMP orchestration framework and the workflow components it manages
- Served as a role model and strategic leader for the AMP org
- Contributed to establish engineering excellence standards for the team, and began mentoring and providing technical guidance to team members
Within 12 months, you will have:
- Become recognized as the strategic engineering leader both within and outside of the AMP organization
- Helped senior leadership (e.g., Directors/VP) on defining the technical strategy and roadmap for the future
- Enabled the team to deliver a stable, production-ready platform that supports autonomous application modernization workflow for our Field Engineering teams
- Drove the adoption of engineering excellence, making it a core tenet of the team's culture and operations
- Contributed to the development of tech leads within the team, fostering growth opportunities. Played a key role in shaping the AMP organization into a self-driving high-performing engineering team
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 over 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: $185,000—$363,000 USD
INTRODUCTION
The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges. We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI.
ROLE AND RESPONSIBILITIES
The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle. We are looking to speak to candidates who are based in Palo Alto for our hybrid working model.
BASIC QUALIFICATIONS
- 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
- Deep experience in building data warehouses and core components for data processing systems
- Experience in using GenAI in building complex large-scale systems, and know what GenAI is best suited to do
- Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation
- 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results
- Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
- Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
- Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset
Key Responsibilities
- Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
- Provide thought leadership, and execute AMP roadmaps to influence and shape the future of how global enterprises leverage GenAI
- Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization stages
- Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
- Collaborate with MongoDB product teams to ensure the modernized applications integrate seamlessly with customers’ database ecosystem
- Act as a hands-on leader, guiding the team through technical challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization toolset
Success Measures
Within the first three months, you will have:
- Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments
- Established yourself as the technical leader within the team, actively driving engineering strategy and key technical decisions
- Begun collaborating with team leaders (TLs, managers) of AMP org and product counterparts on designing/improving the orchestration framework and the workflow components it manages
- Developed a comprehensive grasp of all AMP pillars and their roadmap
Within six months, you will have:
- Influenced AMP product and engineering leads on key technical decisions, and set clear direction for the team
- Successfully led the team to making substantial progress on the “big rock” deliverables and critical milestones of AMP product, enabling the team to smoothly land the planned roadmap
- Owned and delivered some key pieces of AMP orchestration framework and the workflow components it manages
- Served as a role model and strategic leader for the AMP org
- Contributed to establish engineering excellence standards for the team, and began mentoring and providing technical guidance to team members
Within 12 months, you will have:
- Become recognized as the strategic engineering leader both within and outside of the AMP organization
- Helped senior leadership (e.g., Directors/VP) on defining the technical strategy and roadmap for the future
- Enabled the team to deliver a stable, production-ready platform that supports autonomous application modernization workflow for our Field Engineering teams
- Drove the adoption of engineering excellence, making it a core tenet of the team's culture and operations
- Contributed to the development of tech leads within the team, fostering growth opportunities. Played a key role in shaping the AMP organization into a self-driving high-performing engineering team
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 over 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: $185,000—$363,000 USD
See all 35+ Data Engineer at MongoDB jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer at MongoDB roles.
Get Access To All JobsTips for Finding Data Engineer Jobs at MongoDB Jobs
Align your MongoDB Atlas experience upfront
MongoDB's data engineering team prioritizes hands-on experience with Atlas, Change Streams, and aggregation pipelines. Before applying, build or document projects using these tools so your resume speaks directly to the stack MongoDB hires for.
Target roles matching your current visa status
MongoDB hires across H-1B, E-3, F-1 OPT, and TN pathways. If you're on OPT, apply early enough to give your employer time to file an H-1B petition before your authorized period ends, since cap-subject filings must be submitted by March for an October start.
Prepare a specialty occupation paper trail early
For H-1B petitions, USCIS scrutinizes whether data engineering roles qualify as specialty occupations. Collect transcripts, degree equivalency evaluations if your credential is foreign, and any certifications in database architecture or distributed systems before your offer stage.
Use Migrate Mate to filter MongoDB openings by visa type
MongoDB posts data engineering roles across multiple locations with varying sponsorship eligibility. Use Migrate Mate to filter specifically for MongoDB positions that match your visa category, so you're applying to roles where sponsorship is already confirmed rather than guessing.
Understand MongoDB's LCA filing obligations before negotiating
Once MongoDB initiates an H-1B or E-3 petition, DOL requires a certified Labor Condition Application specifying your work location and prevailing wage. If your role is remote or you'll work across multiple MongoDB offices, flag this during the offer process so the LCA covers the correct worksite.
Sequence your interview timeline around MongoDB's hiring cycles
MongoDB typically ramps data engineering hiring in Q1 and Q3. If you're targeting an H-1B cap filing, securing an offer by February gives both you and MongoDB's immigration team adequate runway to prepare and submit the USCIS petition before the April 1 filing window opens.
Data Engineer at MongoDB jobs are hiring across the US. Find yours.
Find Data Engineer at MongoDB JobsFrequently Asked Questions
Does MongoDB sponsor H-1B visas for Data Engineers?
Yes, MongoDB sponsors H-1B visas for Data Engineer roles. The company works with immigration counsel to file cap-subject petitions each spring for an October 1 start date. If you're already in H-1B status with another employer, MongoDB can file an H-1B transfer, which lets you start work as soon as USCIS receives the petition rather than waiting for approval.
How do I apply for Data Engineer jobs at MongoDB?
You can apply directly through MongoDB's careers site or find open Data Engineer roles filtered by visa sponsorship eligibility on Migrate Mate. When applying, tailor your resume to MongoDB's stack, specifically Atlas, aggregation frameworks, and distributed pipeline architecture. Roles are posted across multiple locations, so check whether a specific posting supports your visa type before applying.
Which visa types does MongoDB commonly use for Data Engineer hires?
MongoDB sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, and EB-2 or EB-3 immigrant visas for technical roles including Data Engineers. E-3 is available exclusively to Australian citizens and is often faster to obtain than H-1B since it has no lottery. TN applies to Canadian and Mexican nationals in qualifying engineering or computer science roles.
What qualifications does MongoDB expect for Data Engineer roles?
MongoDB Data Engineer roles typically require a bachelor's degree or higher in computer science, information systems, or a closely related field. Hands-on experience with distributed databases, ETL pipeline design, and cloud infrastructure is expected. Familiarity with MongoDB Atlas, Python or Java, and data modeling patterns used in document-oriented databases strengthens your application significantly over generic SQL-focused backgrounds.
How long does the visa sponsorship process take at MongoDB?
Timeline depends on visa type. An E-3 or TN can be processed in weeks, sometimes at a port of entry or consulate. H-1B cap cases follow a fixed annual cycle with an October 1 start date. EB-2 or EB-3 green card sponsorship involves PERM labor certification through DOL, followed by USCIS petition filing, a process that typically spans one to several years depending on your priority date.
See which Data Engineer at MongoDB employers are hiring and sponsoring visas right now.
Search Data Engineer at MongoDB Jobs