Data Contributor Jobs at MongoDB with Visa Sponsorship
Data Contributor jobs at MongoDB sit at the intersection of data infrastructure and product development, supporting the platform's core database and analytics offerings. MongoDB has a consistent track record of sponsoring international talent across major work visa categories for technical contributor roles.
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Get Access To All JobsWho We Are
The Internal Data team powers decisions and applications across MongoDB, organized around four core business areas: CustomerGTM, Product & Technology, Finance, and EmployeeHR. We build and scale the data products MongoDB employees rely on every day, including data pipelines, datasets, dashboards, APIs, ML models, and frameworks that form the backbone of our internal data ecosystem. Our work directly enables teams to hit their KPIs, automate workflows, and build the AI and BI capabilities that drive the business forward.
We treat data as a product. That means applying the same rigor, user focus, and outcome orientation to internal data that MongoDB brings to its external platform. As the company continues to grow, the scope and stakes of that work grow with it.
This role is focused on our Finance domain, where data products support smarter planning, forecasting, spend efficiency, and financial performance analysis. If you want to build data products that matter at scale, this is the role for you.
This role can be based out of one of our NYC, Austin, Palo Alto, or San Francisco office locations or remotely in the United States.
In this role you will own Finance-focused data products end to end, partnering with cross-functional teams to help shape product strategy, set priorities, define requirements, and drive delivery.
You will build and maintain pipelines, datasets, dashboards, APIs, and frameworks that Finance teams rely on daily for planning, forecasting, and performance analysis, while also contributing to the data management tools and services that power AI and BI across the company.
A significant part of the work is understanding your stakeholders. You will spend time with Finance teams learning their workflows, translating their needs into clear requirements and user stories, and building relationships across Finance, engineering, and technical counterparts.
You will keep the voice of the user central in prioritization and discovery, help shape the roadmap for Finance-focused data products, and push for the right solutions even when the ask is not fully formed.
You will own your product backlog, break complex problems into well-scoped increments, manage dependencies across technical teams, and support agile delivery from sprint planning through release. You will make thoughtful tradeoff decisions across business impact, technical feasibility, and timelines, while balancing new feature delivery with long-term platform health.
You will define success metrics and track adoption, usability, and business value. You will also drive adoption through documentation, onboarding, rollouts, and change management.
When issues arise, you will partner with engineering and Finance teams to drive resolution and capture what can be learned for next time.
What We're Looking For
- 3 to 5 years of product management experience with a focus on data products, platforms, analytics, or internal business systems, including at least one year at a modern, high-growth company
- Direct experience partnering with Finance stakeholders on planning, forecasting, or reporting workflows
- Solid foundation in data, analytics, and technical product management, with the ability to work effectively with engineering on technical details while staying focused on user value and business outcomes
- Familiarity with modern data platforms and scalable architecture concepts such as lakehouse or medallion models
- Experience working with sensitive financial data, including SOX-related processes, with sound judgment on balancing controls with execution speed
- Strong communication skills across technical and non-technical audiences, with the ability to give stakeholders clear visibility into product direction, progress, and risk
- Comfortable operating with guidance from senior product and data leaders while independently owning your area and driving work forward with a high degree of accountability
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.
Req ID: 2273437387
Who We Are
The Internal Data team powers decisions and applications across MongoDB, organized around four core business areas: CustomerGTM, Product & Technology, Finance, and EmployeeHR. We build and scale the data products MongoDB employees rely on every day, including data pipelines, datasets, dashboards, APIs, ML models, and frameworks that form the backbone of our internal data ecosystem. Our work directly enables teams to hit their KPIs, automate workflows, and build the AI and BI capabilities that drive the business forward.
We treat data as a product. That means applying the same rigor, user focus, and outcome orientation to internal data that MongoDB brings to its external platform. As the company continues to grow, the scope and stakes of that work grow with it.
This role is focused on our Finance domain, where data products support smarter planning, forecasting, spend efficiency, and financial performance analysis. If you want to build data products that matter at scale, this is the role for you.
This role can be based out of one of our NYC, Austin, Palo Alto, or San Francisco office locations or remotely in the United States.
In this role you will own Finance-focused data products end to end, partnering with cross-functional teams to help shape product strategy, set priorities, define requirements, and drive delivery.
You will build and maintain pipelines, datasets, dashboards, APIs, and frameworks that Finance teams rely on daily for planning, forecasting, and performance analysis, while also contributing to the data management tools and services that power AI and BI across the company.
A significant part of the work is understanding your stakeholders. You will spend time with Finance teams learning their workflows, translating their needs into clear requirements and user stories, and building relationships across Finance, engineering, and technical counterparts.
You will keep the voice of the user central in prioritization and discovery, help shape the roadmap for Finance-focused data products, and push for the right solutions even when the ask is not fully formed.
You will own your product backlog, break complex problems into well-scoped increments, manage dependencies across technical teams, and support agile delivery from sprint planning through release. You will make thoughtful tradeoff decisions across business impact, technical feasibility, and timelines, while balancing new feature delivery with long-term platform health.
You will define success metrics and track adoption, usability, and business value. You will also drive adoption through documentation, onboarding, rollouts, and change management.
When issues arise, you will partner with engineering and Finance teams to drive resolution and capture what can be learned for next time.
What We're Looking For
- 3 to 5 years of product management experience with a focus on data products, platforms, analytics, or internal business systems, including at least one year at a modern, high-growth company
- Direct experience partnering with Finance stakeholders on planning, forecasting, or reporting workflows
- Solid foundation in data, analytics, and technical product management, with the ability to work effectively with engineering on technical details while staying focused on user value and business outcomes
- Familiarity with modern data platforms and scalable architecture concepts such as lakehouse or medallion models
- Experience working with sensitive financial data, including SOX-related processes, with sound judgment on balancing controls with execution speed
- Strong communication skills across technical and non-technical audiences, with the ability to give stakeholders clear visibility into product direction, progress, and risk
- Comfortable operating with guidance from senior product and data leaders while independently owning your area and driving work forward with a high degree of accountability
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.
Req ID: 2273437387
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Get Access To All JobsTips for Finding Data Contributor Jobs at MongoDB
Align your portfolio to MongoDB's data ecosystem
MongoDB's Data Contributor roles center on document-oriented data modeling, Atlas pipelines, and aggregation frameworks. Before applying, build or highlight projects that demonstrate hands-on experience with these specific tools, not just generic SQL or relational database work.
Confirm E-3 eligibility before targeting MongoDB
If you hold Australian citizenship, the E-3 visa is often a faster path than H-1B at companies like MongoDB. Unlike H-1B, E-3 has no lottery and can be filed year-round, so timing your application independently of the April cap season gives you real flexibility.
Request the LCA before your offer letter finalizes
MongoDB must file a certified Labor Condition Application with DOL before your H-1B or E-3 petition is submitted. Ask your recruiter to confirm LCA filing is already in motion during the offer stage so nothing delays your start date.
Use Migrate Mate to surface open Data Contributor roles at MongoDB
MongoDB lists Data Contributor openings across multiple teams and seniority levels. Use Migrate Mate to filter specifically for MongoDB roles that are open to visa sponsorship so you're only spending time on positions where sponsorship is already confirmed.
Prepare your F-1 OPT paperwork before interviewing
If you're on F-1 OPT, your work authorization window is fixed. Have your EAD card, I-20, and OPT approval notice ready before you receive an offer. MongoDB's HR team will need these to onboard you within your authorized period, and delays on your end can stall the process.
Understand when PERM applies to your role
For Green Card sponsorship through EB-2 or EB-3, MongoDB must run a PERM labor certification through DOL to demonstrate no qualified U.S. workers were available. This process typically takes 12 to 18 months, so it's worth raising long-term sponsorship intentions early in your negotiation.
Frequently Asked Questions
Does MongoDB sponsor H-1B visas for Data Contributors?
Yes, MongoDB sponsors H-1B visas for Data Contributor roles. Because H-1B is subject to an annual cap and lottery, your employer must submit a registration in March for an October 1 start date. MongoDB's recruiting team initiates the H-1B petition process after an offer is accepted, and USCIS must approve the petition before you can begin work.
How do I apply for Data Contributor jobs at MongoDB?
Applications go through MongoDB's careers portal, where you can filter by job function and location. Roles are posted across engineering, data platform, and developer experience teams. To find positions already confirmed for visa sponsorship, browse MongoDB's listings on Migrate Mate, which filters specifically for roles open to international candidates.
Which visa types does MongoDB commonly use for Data Contributor roles?
MongoDB sponsors H-1B for most international hires in technical roles. Australian citizens frequently use the E-3 visa, which has no lottery and allows two-year renewable status. Canadian and Mexican nationals may qualify for TN visas. F-1 OPT and CPT are available for students mid-program, and Green Card sponsorship through EB-2 or EB-3 is available for longer-term employees.
What qualifications does MongoDB expect for Data Contributor positions?
MongoDB's Data Contributor roles typically require experience with document databases, schema design, and data pipeline tooling, often with direct exposure to MongoDB Atlas or similar cloud-native platforms. Proficiency in Python, JavaScript, or Go is commonly expected. Roles at more senior levels may require experience with distributed systems, query optimization, or large-scale data architecture in production environments.
How do I plan my timeline when targeting a Data Contributor role at MongoDB on a work visa?
Timeline depends on your visa type. E-3 visa and TN petitions can be processed relatively quickly, often within weeks of an offer. H-1B requires cap registration in March with an October start date, so plan at least six months ahead if you're not already in H-1B status. F-1 OPT candidates should confirm their remaining authorized period covers the full onboarding window before accepting an offer.