Posted:
8/16/2024, 3:05:22 AM
Location(s):
New York, New York, United States ⋅ Massachusetts, United States ⋅ Boston, Massachusetts, United States ⋅ New York, United States
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
Software Engineering
Workplace Type:
Hybrid
About the Role
We are seeking a hands-on technical leader to drive our OpenLineage integrations and data intake group. This role combines internal development responsibilities with active work in and with the OpenLineage community plus collaboration with our Data Observability product teams.
Data Observability is building tools for data teams of all sizes to visualize, monitor, and understand their critical data pipeline, jobs, and datasets. We’re a fast moving organization that operates as a startup within Datadog. We build impactful features quickly with customers in a tight feedback loop while keeping an eye on reliability, scaling, and future customer needs.
As a Staff Engineer, you will drive and collaborate on projects both inside and outside the product group and in the OpenLineage community. You will contribute to and make key technical and product decisions across the teams while elevating the engineering excellence of the other team members.
At Datadog, we value our office culture – the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
Key Responsibilities
Qualifications
Nice to haves
Ideal Candidate
The ideal candidate will be a passionate advocate for open source and data lineage, with a track record of meaningful contributions to relevant projects. They should be comfortable leading technical work across multiple teams, advocating for the most impactful changes for customers, and nurturing relationships with the OpenLineage community of developers.
Benefits and Growth
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Datadog offers a competitive salary and 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.
About Datadog:
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
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. Here are our Candidate Legal Notices for your reference.
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.
Website: https://www.datadoghq.com/
Headquarter Location: New York, New York, United States
Employee Count: 1001-5000
Year Founded: 2010
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: Analytics ⋅ Cloud Computing ⋅ Cloud Data Services ⋅ Cloud Infrastructure ⋅ Data Management ⋅ DevOps ⋅ Productivity Tools ⋅ SaaS