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TITLE

 

Head of Data Engineering

COMPANY

 

PolicyGenius

LOCATION

 

New York City, NY, US

Description

Want to help people get the financial protection they need — and feel confident in their choices? Policygenius is a NYC-based tech startup that makes it easy to compare and buy all types of insurance online. Since 2014, we’ve become the nation's leading insurance marketplace, raising over $52 million of venture capital and helping more than 5 million people get vital coverage for their families.

We're growing rapidly and looking for people with grit, great attitudes and creative problem-solving skills to join our powerhouse team. Come see why we’ve been voted one of INC's best workplaces two years in a row!

About the role...

Policygenius continues to disrupt the insurance industry by delivering innovative technology-driven experiences. Our talented yet humble software engineering team is dogma-free and experiment driven. We are relentless in our drive to reliably deliver outstanding products at scale. We are growing fast, but we can go further faster with experienced, collaborative, challenge-seeking engineering leaders like yourself.

As the Head of Data Engineering you will build and own the machine learning and data engineering strategy at Policygenius. You will forge the technical vision for your team. You are a servant leader who focuses on technical mentorship and coaching. You work with feature teams, helping them learn and adapt to a changing environment. You help developers and managers find technical and leadership opportunities. You plan strategic engineering initiatives to move the tech organization forward. Above all, you are a change agent who pushes yourself and those around you for excellence.

You will...

  • Build a sophisticated data team that can tackle the next stage of challenges facing Policygenius
  • Coach data engineers, data scientists, and other engineering managers to help them realize their potential
  • Develop and execute on the technical vision for our data products — both internal and customer facing (e.g. our quoting engine, 3rd party ETL integrations, user segmentation models)
  • Take our data infrastructure to the next level with more robust testing environments and DevSecOps best practices
  • Drive technical decisions on a multi-functional, Agile team alongside product management and business intelligence analysts
  • Facilitate design workshops to guide the development of a scalable and high quality architecture
  • Experiment with an open-minded team that is always exploring new technologies
  • Ship exceptional products that people love! (we’re proud to be building a company that has customers who consistently refer their friends and family, with an industry-leading NPS of ~75!) 

You have...

  • 9+ years of experience as a software engineer and/or data engineer, designing data warehousing, ETL, and ML modeling architectures
  • 4+ years managing data engineering and/or data science teams, with bonus points if you have built them from scratch
  • Experience coaching engineering managers and a proven track record of mentoring and developing the careers of data engineers and/or data scientists
  • Successfully driven the development and implementation of a technical vision
  • Forged strong partnerships with product managers
  • Strong communication skills and the ability to comfortably articulate your thoughts and decisions
  • The ability to thrive in a startup environment
  • Experience working in an agile environment 

You’ll get...

  • Company-paid health, dental, vision, life & disability insurance
  • 401(k) plan, FSA & commuter benefits
  • Flexible PTO [for relevant roles]
  • Training, mentorship and coaching from leadership
  • The opportunity to grow alongside a company shaking up a big, old-fashioned industry
  • Fun, diverse, open-minded coworkers
  • Dog companionship
  • Some fun surprises when you join… (Shhh… It’s a secret!)

Technologies You Will Use

Python, Airflow, BigQuery, Tableau, PostgreSQL, Google Cloud Products including  Dataflow, Pub/Sub, Datalab (Jupyter Notebook)AutoML, BQML, Cloud Functions, Cloud Build, Cloud SQL, Storage Bucket, Buildkite, Docker, Git

Policygenius currently spends much of its time using these tools, but we’re committed to working on the right tech for the job, and always open to fresh ideas, new technologies, and better ways of getting things done.

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