Data Engineer II Santiago
Company: Pager
Location: San Francisco
Posted on: March 24, 2025
Job Description:
PagerDuty empowers teams of all kinds to do the critical work
that moves business forward through the PagerDuty Operations
Cloud.PagerDuty is growing and we are looking for an experienced
Data Engineer for our Data team in IT to manage and contribute to
the software and services that we provide to our users. As a Data
Engineer at PagerDuty, you will help lead the team responsible for
designing, building, deploying, and supporting solutions for teams
across PagerDuty's growing global user base. You are scrappy,
independent, and excited about having a big impact on a small but
growing team.Together with the other members of the Data Platform
team, you will have the opportunity to re-define how PagerDuty
designs, builds, integrates, and maintains a growing set of
software and SaaS solutions. In this role, you will be working
cross-functionally with business domain experts, analytics, and
engineering teams to re-design and re-implement our Data Warehouse
model(s).Key Responsibilities
- Translate business requirements into data models that are easy
to understand and used by different disciplines across the company.
Design, implement and build pipelines that deliver data with
measurable quality under the SLA.
- Partner with business domain experts, data analysts and
engineering teams to build foundational data sets that are trusted,
well understood, aligned with business strategy and enable
self-service.
- Be a champion of the overall strategy for data governance,
security, privacy, quality and retention that will satisfy business
policies and requirements.
- Own and document foundational company metrics with a clear
definition and data lineage.
- Identify, document and promote best practices.About You: Skills
and Attributes
- Design, implement and scale data pipelines that transform
billions of records into actionable data models that enable data
insights.
- Help lead initiatives to formalize data governance and
management practices, rationalize our information lifecycle and key
company metrics.
- Provide mentorship and hands-on technical support to build
trusted and reliable domain-specific datasets and metrics.
- Deep technical skills, comfortable contributing to a nascent
data ecosystem, and building a strong data foundation for the
company.
- A self-starter, detail and quality oriented, and passionate
about having a huge impact at PagerDuty.
- Bachelor's degree in Computer Science, Engineering or related
field, or equivalent training, fellowship, or work experience.
- 3+ years of experience working in data integration, pipelines,
data modeling.
- Experience designing, deploying code in Data platforms in a
cloud-based and Agile environment.
- Fluent English is required.
- Availability to work 2 days per month in our Santiago
office.PagerDuty is a flexible, hybrid workplace. We embrace and
encourage in-person working as an integral part of our culture.
Both our employees and external research tell us that co-located
collaboration strengthens connections, drives innovation, and
accelerates learning.For external applicants, this role is expected
to come into our Santiago office 2 times per month, so they can
thrive in their new role and fully embrace being a Dutonian!Where
we workPagerDuty currently has offices in Atlanta, Lisbon, London,
San Francisco, Santiago, Sydney, Tokyo, and Toronto. We offer a
hybrid, flexible workplace. We also provide ample opportunities for
in-person and virtual connection, like team offsites and
volunteering events.What we offerOne way we ensure our employees
are inspired to do their best is through a comprehensive total
rewards approach that supports them and their loved ones. Learn
more, including country-specific offerings, on our benefits
site.Your package may include:
- Comprehensive benefits package from day one.
- Generous paid vacation time.
- Paid holidays and sick leave.
- Dutonian Wellness Days - scheduled company-wide paid days off
in addition to PTO.
- Company equity*
- ESPP (Employee Stock Purchase Program)*
- Retirement or pension plan*
- Paid parental leave - up to 22 weeks for pregnant parent, up to
12 weeks for non-pregnant parent (some countries have longer leave
standards and we comply with local laws)*
- HibernationDuty - an annual company paid week off when everyone
at PagerDuty, with the exception of a small coverage crew, is asked
to take a much needed break to truly disconnect and recharge.
- Paid volunteer time off - 20 hours per year.
- Mental wellness programs.*Eligibility may vary by role, region,
and tenure.About PagerDutyPagerDuty, Inc. (NYSE:PD) is a global
leader in digital operations management. The PagerDuty Operations
Cloud revolutionizes how critical work gets done, and powers the
agility that drives digital transformation. Customers rely on the
PagerDuty Operations Cloud to compress costs, accelerate
productivity, win revenue, sustain seamless digital experiences,
and earn customer trust.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.
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Keywords: Pager, San Francisco , Data Engineer II Santiago, Engineering , San Francisco, California
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