ZipRecruiter

Log In

Datadog
Datadog

60 Datadog Data Jobs Hiring Near You

Datadog

Privacy Counsel

New York, NY · On-site

$171K - $250K/yr

Datadog is seeking a Privacy Counsel to join our Privacy Legal team and play a key role in scaling Datadog's global data privacy and AI governance program. In this role, you will advise on a wide ...

Datadog

Staff Product Designer - Metrics

New York, NY · On-site

$204K - $255K/yr

Your work will define how customers reason about, troubleshoot, and govern one of the highest-volume and most foundational data sets in observability. At Datadog, we place value in our office culture ...

Datadog

Senior Internal Auditor

New York, NY · On-site

$105K - $154K/yr

... data privacy & governance, finance, financial systems, revenue engineering, sales & operations, and the Datadog product platform. You Will: * Identify/assess technology risks and collaborate with ...

next page

Showing results 1-20

All JobsDatadog Data Jobs

Datadog Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What is it like to work at Datadog?

Datadog is a fast-paced and collaborative company that prioritizes innovation and customer satisfaction, fostering a culture of experimentation and continuous improvement.

The company's engineering teams are organized around product areas, allowing for a high degree of autonomy and flexibility in project work, while also promoting cross-functional collaboration and knowledge sharing. Datadog's offices are designed to be open and welcoming, with amenities such as game rooms, fitness centers, and on-site cafes.

Working at Datadog may appeal to candidates who value a dynamic and entrepreneurial work environment, with opportunities to contribute to the development of cutting-edge monitoring and analytics tools that help organizations improve their digital infrastructure and services.
What are the most popular job types at Datadog?
    What are the most popular jobs at Datadog?
    What are the most popular categories at Datadog?
    Infographic showing various Data job openings at Datadog in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution.
    Manager I, Engineering - Data Visualization Explorations

    Manager I, Engineering - Data Visualization Explorations

    Datadog

    New York, NY • Hybrid

    Other

    Posted 8 days ago

    Job description

    This Engineering Manager will lead the Data Visualizations Explorations team within the Graphing organization, setting product direction, and coaching and developing team members. They will staff and drive projects that build end to end experiences for Datadog's core users: observability engineers. This includes extending the capabilities of core widgets like Hostmap and Geomap Visualizations and finding innovative ways to leverage existing Datadog data sources. This role also involves close partnerships with other product teams to deeply understand customer needs and deliver compelling data experiences.

    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: 

    • Work with Product Management and Design to plan and staff projects for the Data Visualization Explorations team
    • Coach and develop engineers at various levels
    • Ensure strong cross-team communication and design best practices around project management, code review, architecture patterns, and more.
    • Proactively anticipate cross-team dependencies and blockers to goals. Identify opportunities to appropriately reuse or customize features across dashboards, notebooks, and product pages.
    • Deeply understand the needs of our customers and other Datadog products we work with. Participate in customer conversations, review product briefs, read feature requests, and coach team members to adopt these practices as well.
    • Define and maintain high standards for operations practices, including bug triage and remediation, incident response, and gathering and analyzing performance telemetry for our widgets.

    Who You Are: 

    • At least 2 years of people management experience in a software engineering or similar setting
    • Strong TypeScript/JavaScript skills, including familiarity with frontend frameworks such as React
    • Excellent communication skills, including at delivering clear, actionable, and empathetic feedback
    • Product-oriented: you put solving customer problems first and know how to ship features quickly and iterate on them
    • Passionate about data visualization and building intuitive, performant user interfaces
    • Demonstrated sense of ownership over your team's work
    • [Bonus] Active participant in the data visualization or software engineering community through conference talks, blog posts, open source projects, teaching/mentorship, or other practices.

    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.

    #LI-Hybrid

    Apply