Data Engineer

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

• Stock Options
• Free Moped rides and discounted Rideshare rides
• Medical, Dental, Vision
• 401k
• Life insurance
• Unlimited Vacation/PTO

Revel is an equal opportunity employer. All facets of employment including the decision to hire, promote, discipline, or release, will be based on merit, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

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.

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