DoorDash is seeking an experienced data engineer to join our People Intelligence team supporting HR functions. We’re a data-driven organization, empowering local economies and our people to do the best work of their careers. This role will get in on the ground floor helping to build and support the data infrastructure powering our data-driven insights to attract, develop, and retain the best talent to power and grow DoorDash. You will support and scale our people reporting and analytics within the People Team. In this role, you will partner with a team of analysts, scientists, and engineers to develop the tools and insights for our people and decision-makers. Come help us enable our business to garner insights and be a builder, engineer, consultant, and security/privacy advocate.
You’re excited about this opportunity because you will...
Architect and engineer our data infrastructure for People data
Design and implement data warehouse schemas, tables, and views to provide a source of true datasets
Develop ETL pipelines using tools such as Airflow and dbt for data profiling, cleaning, and transformation
Support self-service analytics projects by creating secure data structures
Provide underlying data support for all People metrics (recruiting pipelines, attrition, employee engagement, diversity and inclusion, compensation and benefits, etc.)
Ensure data integrity across all People data
Rigorously document system requirements and configuration to build operational excellence
Contribute to building AI-ready data marts
Understand and identify opportunities to improve, working closely with cross-functional teams
Train peers on new processes and functionality as needed
Help build data governance with a single source of truth
We’re excited about you because you have...
5+ years of industry experience in data engineering, business intelligence or software engineering
Expert SQL skills and experience writing complex queries
Proficiency in programming languages such as Python/Java
Experience in ETL orchestration and workflow management tools like Airflow, flink, Oozie and Azkaban using AWS/GCP
Proficiency authoring Airflow DAGs
Experience with data observability and monitoring frameworks
Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms
Nice to haves
dbt (data build tool) as a project admin and authoring models
Monitoring services like Splunk
Observability services like Monte Carlo
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.