The Analytics Data Platform Batch team owns the platform that powers batch data processing across Datadog’s internal data infrastructure. We execute 800k+ Spark jobs daily - plus PySpark, Ray, and Python-based workloads - serving 50+ internal teams across billing, cost management, security intelligence, applied AI and more.
We are a platform engineering team: our customers are Datadog’s internal data engineers and scientists, and our product is the infrastructure, abstractions, and tooling they build on top of. We operate at the intersection of distributed systems, developer experience, cost engineering, and AI-assisted automation - working on problems that affect pipelines at scale
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You’ll Do:
- AI-driven version migration automation: Spark and JVM
- Building agentic tooling that analyzes compatibility, generates PRs, and orchestrates multi-datacenter testing
- Engine-agnostic batch execution
- Platform reliability and scale
- Spark Pod Autosizing - CPU and memory allocations
- Understanding tradeoffs across execution models
Who You Are:
- You have 6+ years of experience
- You have significant backend programming experience in one or more languages (Go, Java, Rust, Python, Scala)
- Spark internals/infrastructure - executor lifecycle, memory model, dynamic allocation, resource tuning
- Experience building platform or infrastructure that other engineers depend on
- Distributed systems engineer with experience building high performance large scale systems
- Kubernetes fundamentals
- Excellent communication skills (English)
- High proactivity and cross-team collaboration experience
- You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how
- You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
- Bonus: AI/LLM integration in engineering workflows & Observability and cost attribution
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:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. 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.
Skills Required
- 6+ years of professional experience
- Significant backend programming experience in one or more of Go, Java, Rust, Python, or Scala
- Experience with Spark internals and infrastructure, including executor lifecycle, memory model, dynamic allocation, and resource tuning
- Experience building platforms or infrastructure used by other engineers
- Experience as a distributed systems engineer building high-performance, large-scale systems
- Knowledge of Kubernetes fundamentals
- Excellent English communication skills
- Proactivity and cross-team collaboration experience
- Demonstrated ability to use AI coding tools and validate, critique, and refine AI-generated output
- AI/LLM integration in engineering workflows
- Experience with observability and cost attribution
What the Team is Saying
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Datadog Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is characterized as comprehensive and well-regarded, with robust medical, dental, and vision plans alongside accessible mental-health support for employees and dependents. Plan affordability and company contributions are noted as practical strengths.
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Parental & Family Support — Parental leave is presented as fully paid and gender-neutral, complemented by family-forming benefits such as fertility, adoption, preservation, and surrogacy in eligible locations. Additional elements like childcare assistance and pet-related perks broaden the family support offering.
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Equity Value & Accessibility — Equity participation is readily available through new-hire RSUs and a discounted employee stock purchase plan. This ownership pathway is paired with financial wellness resources that reinforce long-term value.
Datadog Insights
What We Do
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.
Why Work With Us
At Datadog, we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems, innovate pragmatically, and grow together. We promote from within, provide mentorship and opportunities for career development, and support our colleagues in the process. Best of all? We truly love what we do.
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Datadog Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them and their team.
