The Revenue Data Engineering Teams create the data processing pipelines that measure our customers’ usage and estimate costs across all Datadog products, providing vital insights to a broad variety of users and internal stakeholders. This group of teams is at the leading edge of any new product we release. As an Analytics Engineer you will work closely with Data Engineers and Data Analysts to help Datadog teams understand how to best make use of Product and Revenue Datasets and enable complex analytics via core building blocks.

What You’ll Do:

• Build and maintain the data transformations and modeling layer and surface high value data via Business Intelligence tools
• Build and maintain key dashboards and visualization to help Engineering and Product Management Leadership make data driven decisions
• Become a subject-matter expert in Product and Revenue Datasets and help other teams understand and best make use of Product and Revenue Datasets
• Work closely with the Revenue Data Engineering teams and be part of Datadog-wide Analytics Community

Who You Are:

• An Analytics Engineer with 4+ years of experience and you have mastered data modeling and visualization using Business Intelligence tools such as Metabase, Looker, Tableau or Superset
• Fluent in writing SQL, are able to write, debug and maintain complex queries with no assistance, understand the difference between SQL that works and performant SQL
• Experienced with data modeling tools such as dbt to clean, transform, test, and deploy analytics-ready datasets
• Experienced with Data Lakes or Data Warehouses such as Snowflake, Trino, Redshift, or BigQuery
• Used to working with a thorough review process for code and reports
• A clear, concise communicator that works well with others, and is able to explain complex datasets or queries to non-technical people in understandable ways
• Driven to know “why” and you have a natural curiosity and investigative mindset 
• Excited to work in a fast, high-growth startup environment and thrive on both autonomy and collaboration
• Familiar with working with APIs and programming languages such as Python, Scala, Java, or Go

Bonus Points:

• You have experience using the command line and Git
• You have some experience with Spark, Flink or Beam or similar big data processing frameworks

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.