Staff Data Engineer - Cloud Data Architecture
PagerDuty is interviewing, onboarding, and working 100% virtually at this time. As we look to the future, we plan to be ‘distributed by design’, meaning unless your job requirements make it necessary to be in a PagerDuty office, you may choose to work in-office, remotely, or hybrid. We’re focused on inclusion and employee well-being by building a culture that isn’t location specific, and gives equal opportunity to everyone—regardless of where you are working.
Overview
PagerDuty is a digital operations management platform that empowers the right action, when seconds matter.
For the teams who build and run digital systems, PagerDuty is the best way to manage the urgent, mission-critical work that is essential to keeping digital services always on. We make it easy to handle any unplanned task, event, or opportunity, right away.
We’re growing fast and looking for ambitious people who share our values and customer devotion mindset to join our high caliber team.
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
Minimum Experience
- 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 Offers:
- Competitive salaries and company equity
- ESPP (Employee Stock Purchase Program)
- Retirement plan with company match
- Comprehensive benefits package from day one
- Company paid parental leave - up to 22 weeks for pregnant parent, up to 12 weeks for non-pregnant parent
- Paid vacation time - 3 weeks accruing in first year, 4 weeks accruing every year after
- Paid holidays and sick leave
- Paid employee volunteer time - 20 hours per year
- Bi-annual company-wide hack weeks
- Mental wellness programs
About PagerDuty
PagerDuty, Inc. (NYSE:PD) is a leader in digital operations management, serving over 13,800 customers and 700,000 users in 90 countries, including 60% of the Fortune 100. Led by CEO Jennifer Tejada, 50% of our board of directors is comprised of women, 45% of our managers are from underrepresented groups, and we are a proud member of the Pledge 1% Movement, committed to donating 1% Equity, 1% Employee time, and 1% Product to accelerate change in our communities.
At PagerDuty, we believe you do your best work in a culture that fosters inclusion, well-being, and innovation. As a Dutonian, you will have ample opportunities to advance your career and connect with colleagues: virtual all hands calls, learning & development programs, bi-annual hack weeks, volunteering events, ERGs (employee-run groups focused on cultivating a sense of belonging for all) - there’s something for everyone. Learn more on Instagram, @pagerdutylife.
From how we build our teams to who sits in the boardroom, we hope you can see yourself at PagerDuty.
Additional Information
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 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 committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email [email protected] 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.