Senior Software Engineer - Analytics Data Platform

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Description

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 - execu

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