Lead Data Engineer

About Presto:

Read about our $15M seed fund raise on TechCrunch.

Our mission is to build an all-electric future, one magical charging experience at a time. Presto is the leading EV charging platform in the US that helps fleets and their drivers access charging across networks in a seamless, single app and API. 

The largest EV fleets across sectors use Presto including rental car companies such as Hertz, Avis, Zipcar, mobility platforms like Uber and last-mile logistics companies. This rapid adoption is due to an exceptional experience (top-rated charging app on both iOS and Android), the highest density of chargers and custom fleet tools.

Founded by Ashwin Dias and J.J. Raynor, the team combines deep marketplace leadership from Uber and EV experience from Tesla, Rivian, and more. 

Investors include Union Square Ventures, Congruent Ventures, and Powerhouse Ventures.

Learn more at www.prestocharging.com, and check out our app

About the role:

Presto is seeking an experienced Lead Data Engineer to join our platform team. As a Lead Data Engineer, you will be building out the core data platform that will unlock key decision making capabilities and power insights that drive our business and the EV revolution. You will collaborate closely with data scientists, product managers, and business leadership to design and implement robust and scalable data pipelines capable of processing and transforming massive datasets. You will have the opportunity to shape the future of our data infrastructure and directly contribute to our understanding of the market and our customers.

Responsibilities:

• Lead the design and implementation of Presto’s data platform architecture

• Set technical standards and best practices for data engineering work

• Collaborate with cross-functional teams to understand data platform needs and translate business requirements into technical solutions

• Design and construct scalable data pipelines and infrastructure to ingest and merge millions of individual data points into Presto’s core data asset

• Develop and run ML models on top of millions of data points

• Implement and maintain data observability tools to monitor pipeline health, track data lineage, and detect anomalies before they impact downstream users

• Design and enforce automated data quality checks, validation rules, and anomaly detection to ensure teams can rely on high-integrity data

• Build supporting data services and tools for self-service exploration, reporting, and experimentation

• Proactively identify the processes and tools that will drive the most impact to our data ecosystem

Requirements:

• Bachelor’s Degree in CS, Mathematics, Engineering or related field

• 5+ years of professional data engineering experience

• Expert in SQL and relational databases (e.g., PostgreSQL)

• Expertise with big data technologies (e.g., DBT, Meltano, Airflow)

• Hands-on experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Snowflake)

• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)

• Knowledge of data modeling and dimensional design

• Experience with data governance and compliance requirements

• Experience implementing data quality frameworks

• Excellent communication skills

• You can simplify complex problems into simple solutions

• You balance a strong sense of ownership and responsibility in your work with collaboration and team alignment

• You are comfortable making trade-offs between quality, complexity, and speed-of-delivery

Preferred Qualifications:

• Previous experience mentoring junior engineers and leading a team

• Proven experience taking a large project from ideation to production

• Experience leading greenfield projects

• Working knowledge of cloud-native data engineering infrastructure

• Understanding of machine learning workflows and MLOps.

• Experience at an early stage startup

• Drive an EV
  
  

Location: San Francisco Bay Area (hybrid)

Why you’ll love working here: 

• Competitive salary and equity package

• Attractive medical, dental, vision, and voluntary life insurance benefits

• Flexible time off

• Dog-friendly office (Oakland)

To Apply:
Include the following details in your cover letter or email them to letsbuild@prestocharging.com

1. Tell us about 1 project you worked on; what was the problem? How did you approach it? What was the impact of your work?

2. Download the Presto app and tell us what data you would collect and how you would use it.

3. Share your LinkedIn profile