Jobs: 504
Headquarter: New York City, NY, United States

Data Engineer - Data Science Engineering

Paris, France
Posted 9 days ago
powertofly approved What Datadog Has to Offer:

Datadog is the essential monitoring platform for cloud applications. They bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. Datadog makes a conscious effort to ensure their employees at every level reflect the many experiences and identities of the outside world, treating everyone with fairness and without bias so they can belong, excel, and succeed together. Datadog supports the health and well-beng of their employees and families with benefits like:

  • Medical insurance
  • Parental leave
  • Fitness reimbursement
  • Fertility & adoption assistance
  • Pet adoption assistance
  • Retirement savings plan
  • Commuter benefits
  • Outings & events
  • Referral bonuses
  • Discretionary Paid Time Off
  • About Datadog:

    We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams.  We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. 

    Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. We need you to design and build machine learning-powered products that help our customers learn from their data and make better decisions in real-time.


    The Team:

    We extract and manage data and events from our core products and live systems to make them centrally available for our Data Science team in both batch and real-time ways. We enable Data Scientists to productionize their models and expose their data assets to the rest of the company.

    If you’re excited to work on a fast-moving data engineering team with the best open-source data tools at high scale, we want to meet you.


    You Will: 

    • Build distributed, real-time, high-volume data pipelines and work together with others to enable high-scale Data Science
    • Do it with Spark, Luigi, Kafka and other open-source technologies
    • Work all over the stack, moving fluidly between programming languages: Scala, Java, Python, Go, and more
    • Join a tightly knit team solving hard problems the right way
    • Own meaningful parts of our service, have an impact, grow with the company



    • You have a BS/MS/PhD in a scientific field or equivalent experience
    • You have built and operated data pipelines for real customers in production systems
    • You are fluent in several programming languages (JVM & otherwise)
    • You enjoy wrangling huge amounts of data and exploring new data sets
    • You value code simplicity and performance
    • You want to work in a fast, high growth startup environment that respects its engineers and customers
    • You are preferably familiar with Spark and/or Hadoop and know how to put machine learning models in production


    Is this you? Send your resume and link to your GitHub if available.



    Equal Opportunity at Datadog:

    Datadog is an Affirmative Action and Equal Opportunity Employer and 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 more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.


    Your Privacy:

    Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

    We're a community of women leveraging our connections into top companies to help underrepresented women get the roles they've always deserved. Simultaneously, we work to build truly inclusive hiring processes and environments where women can thrive and not just survive.
    Are you hiring? Join our platform for diversifiying your team
    Data Engineer - Data Science Engineering