Data Science Engineer Jobs at Datadog with Visa Sponsorship
Datadog hires Data Science Engineers to build and scale observability platforms used by thousands of engineering teams worldwide. The company has a consistent track record of sponsoring work visas for this function, supporting candidates from offer through filing across multiple visa categories.
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Get Access To All JobsINTRODUCTION
As a Staff Software Engineer on Datadog’s Cloud FinOps team, you will help shape how the company understands, analyzes, and optimizes its cloud infrastructure spend. This role sits at the intersection of engineering, finance, and executive leadership, building the systems and insights that drive company-wide decisions about infrastructure usage, AI usage and efficiency. You will design scalable solutions that improve cost attribution, forecasting, and visibility across Datadog’s multi-cloud environment. This is a high-impact opportunity to influence strategic decisions, solve complex infrastructure efficiency challenges, and help define the future of FinOps capabilities at Datadog. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
ROLE AND RESPONSIBILITIES
What You’ll Do:
- Design and evolve internal platforms and tools that provide visibility into Datadog’s cloud infrastructure costs across AWS, GCP, and Azure.
- Partner with Finance, Engineering, and Executive Leadership to analyze cloud spend trends and inform strategic decisions.
- Develop scalable models and systems for cloud cost attribution across complex shared infrastructure.
- Build forward-looking FinOps capabilities that help teams proactively manage and optimize infrastructure usage.
- Work cross-functionally with engineering leaders to understand system architecture and translate infrastructure usage patterns into actionable cost insights.
- Influence company-wide initiatives around cost efficiency, forecasting, and infrastructure planning.
- Raise team performance by leading by example, building systems and patterns that improve productivity and autonomy by guiding with pragmatic technical judgment while being a hands-on contributor.
BASIC QUALIFICATIONS
Who You Are:
- Experience designing or operating distributed systems at scale.
- Proven ability to lead large cross-organizational technical initiatives and influence senior stakeholders.
- Strong communication skills and ability to explain complex technical concepts to engineering, finance, and executive audiences.
- Experience working with cloud infrastructure platforms such as AWS, GCP, or Azure.
- Ability to operate autonomously in ambiguous problem spaces and develop scalable solutions.
- Interest in infrastructure efficiency, cost attribution, and FinOps-style problem domains.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
BENEFITS AND GROWTH
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $234,000—$300,000 USD.
ABOUT DATADOG
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
EQUAL OPPORTUNITY AT DATADOG
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
PRIVACY AND AI GUIDELINES
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
INTRODUCTION
As a Staff Software Engineer on Datadog’s Cloud FinOps team, you will help shape how the company understands, analyzes, and optimizes its cloud infrastructure spend. This role sits at the intersection of engineering, finance, and executive leadership, building the systems and insights that drive company-wide decisions about infrastructure usage, AI usage and efficiency. You will design scalable solutions that improve cost attribution, forecasting, and visibility across Datadog’s multi-cloud environment. This is a high-impact opportunity to influence strategic decisions, solve complex infrastructure efficiency challenges, and help define the future of FinOps capabilities at Datadog. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
ROLE AND RESPONSIBILITIES
What You’ll Do:
- Design and evolve internal platforms and tools that provide visibility into Datadog’s cloud infrastructure costs across AWS, GCP, and Azure.
- Partner with Finance, Engineering, and Executive Leadership to analyze cloud spend trends and inform strategic decisions.
- Develop scalable models and systems for cloud cost attribution across complex shared infrastructure.
- Build forward-looking FinOps capabilities that help teams proactively manage and optimize infrastructure usage.
- Work cross-functionally with engineering leaders to understand system architecture and translate infrastructure usage patterns into actionable cost insights.
- Influence company-wide initiatives around cost efficiency, forecasting, and infrastructure planning.
- Raise team performance by leading by example, building systems and patterns that improve productivity and autonomy by guiding with pragmatic technical judgment while being a hands-on contributor.
BASIC QUALIFICATIONS
Who You Are:
- Experience designing or operating distributed systems at scale.
- Proven ability to lead large cross-organizational technical initiatives and influence senior stakeholders.
- Strong communication skills and ability to explain complex technical concepts to engineering, finance, and executive audiences.
- Experience working with cloud infrastructure platforms such as AWS, GCP, or Azure.
- Ability to operate autonomously in ambiguous problem spaces and develop scalable solutions.
- Interest in infrastructure efficiency, cost attribution, and FinOps-style problem domains.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
BENEFITS AND GROWTH
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $234,000—$300,000 USD.
ABOUT DATADOG
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
EQUAL OPPORTUNITY AT DATADOG
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
PRIVACY AND AI GUIDELINES
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
See all 24+ Data Science Engineer at Datadog jobs
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Get Access To All JobsTips for Finding Data Science Engineer Jobs at Datadog Jobs
Align your portfolio to observability engineering
Datadog's Data Science Engineer roles center on metrics pipelines, anomaly detection, and large-scale telemetry systems. Showcase projects involving time-series modeling or distributed systems data rather than general ML work to stand out in their review process.
Use Migrate Mate to target verified sponsoring roles
Not every Data Science Engineer posting at Datadog is tied to active sponsorship support. Search Migrate Mate to filter specifically for Datadog roles verified for visa sponsorship, so you apply where the path is already open.
Prepare a specialty occupation narrative for your discipline
H-1B approval for Data Science Engineer roles requires demonstrating the position demands a specific bachelor's degree or higher. Gather job descriptions, your transcripts, and any advanced credentials that tie your exact specialization to the role's technical requirements.
Time your application around Datadog's hiring cycles
Datadog scales engineering headcount in Q1 and Q3. Applying in January through February gives recruiting teams enough runway to initiate H-1B cap filings before the April 1 USCIS registration window, reducing the risk of timeline misalignment.
Data Science Engineer at Datadog jobs are hiring across the US. Find yours.
Find Data Science Engineer at Datadog JobsFrequently Asked Questions
Does Datadog sponsor H-1B visas for Data Science Engineers?
Yes, Datadog sponsors H-1B visas for Data Science Engineer roles. The company files both cap-subject petitions for new applicants and cap-exempt petitions in applicable situations. If you're already in H-1B status with another employer, Datadog can file a transfer petition without waiting for the annual lottery.
Which visa types does Datadog commonly use for Data Science Engineer roles?
Datadog supports H-1B, H-1B1, TN, F-1 OPT, and F-1 CPT for Data Science Engineer positions, along with immigrant visa pathways including EB-2 and EB-3. TN is available to Canadian and Mexican nationals in qualifying technical roles. Your best path depends on citizenship, current status, and where you are in your career.
What qualifications are expected for a Data Science Engineer role at Datadog?
Datadog's Data Science Engineer roles typically require a bachelor's degree or higher in computer science, statistics, applied mathematics, or a closely related field. Strong experience with distributed systems, streaming data pipelines, and ML model deployment is expected. Familiarity with observability tooling, such as metrics aggregation or trace analysis at scale, is a common differentiator in their hiring process.
How do I apply for Data Science Engineer jobs at Datadog?
You can browse and apply for Data Science Engineer roles at Datadog directly through Migrate Mate, which filters for positions with confirmed visa sponsorship. Applying through a targeted platform reduces the time you spend on roles that won't support your immigration status. Have your resume, portfolio, and any visa documentation ready before you submit.
How do I manage the timeline between my job offer and H-1B filing at Datadog?
If you need a new H-1B, USCIS opens cap registration each March for an October 1 start date. Accept your offer well before February so Datadog's immigration team can register you in time. If you're already in valid H-1B status, a transfer petition lets you start on the receipt notice date without waiting for approval.
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