Data Analysis, Data Analytics, Data Biuld Tool - dbt, Design, Luigi, Snowflake, Spark Core, Statistics
We’re looking for an Engineering Manager to lead our Internal Analytics Research team, a new team founded within our Data & Analytics organization. This team does deep research into specific sectors of the tech industry and state of the art technologies, such as serverless or container runtime platforms, in order to better understand best practices and trends in the space. We share our findings with our external communities and use these newfound insights to internally better our products.
As a leader of this team, you’ll work with Data Engineers and Data Analysts to build out high-scale, cross-cloud data platforms that enable research, as well as do deep analysis with teams across the company.
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.
What You’ll Do:
Who You Are:
Datadog values people from all walks of life. We know 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 experience, we encourage you to apply.
Benefits & Growth:
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
The reasonably estimated salary for this role at Datadog ranges from $187,000 - $240,000, 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.
Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.
New York, NY, USA
4-6 year
Boston, MA, USA
4-6 year
Bordeaux, France
6-8 year