Data Engineer

Brooklyn, NY

Applications have closed

Revel

Electrifying cities through charging hubs, all electric rideshare, mopeds and eBikes.

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About Revel

Revel’s mission is to accelerate EV adoption by providing the infrastructure and services that make it easy to go electric. While other companies set goals for 2030, we’re focused on change we can make today. We’re also focused on cities, which have the biggest barriers to EV adoption but the most potential for change.

 

Our Operating Principles

Revel’s Operating Principles represent who we are, how we act, and what we believe. They define our culture. 

Empathy. We seek to understand the experiences and perspectives of each other, our customers and the communities where we operate. 

Ownership. We are excited by big challenges and care deeply about our work. We empower and rely on each other and hold ourselves to a high standard.

Humility. We take our work seriously but not ourselves. We’re approachable, curious, and know we have a lot to learn. 

Adaptability. We expect change and quickly adjust our approach to reflect new information. We know success requires seeing opportunity in obstacles and relentlessly improving.

Simplicity. We clarify and prioritize what can be done now. We strive to keep things no more complicated than absolutely required.

 

About the Role

  • Work in a small cross-functional data engineering team
  • Design and build data pipelines end-to-end
  • Make foundational architecture decisions and have huge impact on the future of our data infrastructure
  • Work directly with lots of other teams including data science/analytics, product, marketing, and the wider engineering team
  • Opportunity to grow into an ownership role of data engineering at Revel if desired  

 

Technical Requirements

  • 2+ years experience as a Data Engineer
  • Strong Python and SQL
  • Strong warehouse data modeling skills
  • Experience with Airflow or another similar tool

 

Non-Technical Requirements

  • You want to work in a small team and support data engineering best practices
  • You are highly collaborative and able to work in cross-functional teams
  • You are pragmatic and prefer simple solutions. You build for the problem.
  • You're Product-oriented - You care about the value we deliver rather than just the tech we build
  • You like to work in agile(ish) environments
  • You strive towards continuous integration and delivery

 

Our Tech Stack

  • Python
  • Airflow
  • Snowflake
  • Postgres
  • Kubernetes
Compensation and Benefits
Base compensation range $90k-$160k per year, based on experience level. Our benefits package includes:
  • Stock Options
  • Free Moped rides and discounted Rideshare rides
  • Medical, Dental, Vision
  • 401k
  • Life insurance
  • Unlimited Vacation/PTO

https://www.cigna.com/legal/compliance/machine-readable-files.  This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.

#LI-Remote

Tags: Agile Airflow Architecture Data pipelines Engineering Kubernetes Pipelines PostgreSQL Python Snowflake SQL

Perks/benefits: Equity Health care Unlimited paid time off

Regions: Remote/Anywhere North America
Country: United States
Job stats:  4  1  0
Category: Engineering Jobs

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