Software Engineer - Data Infrastructure

The Team:

Using a mix of open-source and proprietary applications the Data Engineering Infrastructure team enables engineers at Datadog to build and run thousands of data pipelines per day against petabyte-scale data. If you’re excited by the intersection of big data and building platforms, this is the team for you.

The Opportunity:

As an engineer for the Data Engineering Infrastructure team, you will design, build, scale, and evolve our data engineering platform, services and tooling. Your work will have a critical impact on all areas of Datadog's business: powering core data pipelines, supporting detailed internal analytics, calculating customer usage, securing our platform, and much more.

You Will:

• Build a big data platform-as-a-service (PaaS) for Spark, Luigi, Airflow, Kubernetes, and other open-source technologies on AWS, Azure and GCP
• Engage other teams at Datadog about their use of the platform to ensure we’re always building the right thing
• Use Datadog products to provide observability for our engineers so they can easily debug, scale, and tune their Spark jobs and data pipelines
• Join a tightly knit team solving hard problems the right way

You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• You have experience contributing to a software engineering team
• You have experience with a mix of backend programming, operations, and working with data
• You value code simplicity and performance
• You want to work in a fast, high-growth startup environment that respects its engineers and customers

Bonus Points:

• You have production experience running and operating state-of-the-art data processing frameworks, technologies, and platforms
• You have built and operated data pipelines for real customers in production systems
• You’ve built applications that run on AWS, Azure or GCP

#LI-TB1

The reasonably estimated salary for this role at Datadog ranges from $130,000 - $300,000, plus a competitive 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.