Together we’re building a company that will endure and products people will love for generations to come.
We believe that people do their best in a culture that fosters inclusion, innovation, and success. Our values - Champion the Customer, Take the Lead, Run Together, Ack + Own and Bring Yourself - serve as the foundation of our collaborative and dynamic culture.
Whether it’s conducting a retrospective, participating in our bi-annual hack weeks, cranking out a new product feature, supporting our two PagerDuty brands, or doing our day to day work, Dutonians live and breathe these five values every day. Together, we solve real customer issues and fulfill our mission of connecting teams to real-time opportunities and elevate work to the outcomes that matter.
We’re building an inclusive workplace that represents the real, everyday people we support around the world. From how we build our teams to who sits in the boardroom, we hope you can see yourself at PagerDuty.
Why We Need... You:
We’re looking for a staff-level engineer and a proven technical leader passionate about building infrastructure for data scientists to run machine learning models with big data in production successfully. We expect you to collaborate with data scientists and full-stack engineers to drive alignment on design patterns and best practices to support the business. If you are technical, creative, future-focused and excited about fostering an environment amongst our engineers that helps create avenues for success and learning, then this is an excellent opportunity for you.
How you contribute to our vision
Take the lead to build and improve the capabilities of the existing data lake and move towards a data mart or warehousing solution geared for serving multiple Business Units
Drive and define standards for data engineering across the organization. Provide guidance, technical leadership, and mentoring to other members of the team
Proactively recommend improvements and new approaches addressing potential systemic pain points and technical debt
You have 8+ years of experience building, designing, and evolving data architecture for large scale systems leveraging AWS
Experience working with Product and democratizing data across the organization
Have a deep understanding of the trade-offs to be considered when designing and delivering data lake vs data mart or warehouse
Demonstrated experience with data modeling, database design, extract transform load (ETL) processes, working with unstructured data, and cloud-based data infrastructure
Awareness of and experience with Machine Learning processes, technologies, and infrastructure
Experience with Redshift, Snowflake and other data warehouse tools preferred
PagerDuty is committed to creating a diverse environment and is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.
PagerDuty is for people. Meaning, we extend opportunities to a broad array of candidates, including those with diverse workplace experiences and backgrounds. Whether you're new to the corporate world, returning to work after a gap in employment, or simply looking to transition or take the next step in your career path, we are excited to connect with you.
PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email email@example.com and we will work with you to meet your accessibility needs.
Our stewardship of the data of many thousands of customers means that a background check is required to join PagerDuty. We will, nonetheless, consider for employment qualified applicants with arrest and conviction records in a manner consistent with local requirements.
PagerDuty uses the E-Verify employment verification program.
To all recruitment agencies: PagerDuty does not accept agency resumes. Please do not forward resumes to our jobs alias, PagerDuty employees or any other company location. PagerDuty is not responsible for any fees related to unsolicited resumes