About Flipp

Flipp partners with the largest North American retailers and brands to deliver local promotions and savings to millions of engaged shoppers daily, driving superior returns on investments. 

We help people make smarter shopping decisions with autonomy and accountability. With rising living costs, Flipp's mission is crucial. Our Shopper Consideration Platform allows retailers and manufacturers to create digital experiences from their savings & deals content, aiding shoppers in deciding what to buy and where to buy it. Together, we make a difference.

At Flipp, you'll work with hungry, humble, highly intelligent and other-centered teammates. We challenge ourselves, learn by doing, and grow by developing new skills and perspectives. You'll be equipped to make an impact, realize your potential, and stay inspired every step of the way.

We are looking for a Data Engineer to join our data enablement engineering team to design, build, and operate data pipelines and libraries that enable access to data and metrics in a data lake and data warehouse to stakeholder groups. In this role, you will work within an engineering team to design and develop data processing platforms and software frameworks for Data Science, Engineering and Analytics organizations. 

Most of the things you’ll work on:

  • Oversee, design, and develop batch data processing pipelines and libraries
  • Develop and manage scalable data processing platforms used by Data Science, Engineering,  Analytics & Revenue organizations
  • Designing improvements to the Data Lake & Data Warehouse architecture and supporting access libraries
  • Consult with Data Science and Analytics to provide best practices for data modeling
  • Implement and maintain data pipelines through collection, storage, transformation and normalization of large data sets
  • Design and implement automated unit and integration test strategies
  • Analyzing datasets and automating data quality checks to ensure top-notch data quality and consistency
  • Develop proper data governance approaches by ensuring security, integrity and auditability standards are met

You’ll need to have:

  • 4+ years of working in a data engineering department with experience writing ETLs processing large amount of data from raw Data Lakes
  • 4+ years of designing for and managing big data platforms based on technologies such as Databricks (preferred), Hadoop, HDFS, and Kafka
  • 4+ years of experience working with Apache Spark (preferred) / SQL / Pandas
  • 4+ yeas of experience with Programming Languages like Scala (preferred)/ Python/ Java
  • Experience with orchestration tools such as Apache Airflow
  • Experience with cloud technologies (AWS preferred)
  • Familiarity with data warehousing best practices and star schema design

Our promise to each other:

What we bring:

  • An inclusive, collaborative environment where your voice matters 
  • A remote first environment 
  • The tools and opportunities you need to grown and develop 
  • Every opportunity to own your success

What you bring:

  • Your authentic self, everyday 
  • Your best work, from anywhere 
  • An appetite for learning, curiosity, and a growth mindset 
  • Motivation, initiative and the mind of an entrepreneur

Here’s how to apply:

If you’re interested in working with us on the future of shopping, fill out the fields below and submit your application. While experience and skill sets are valuable, growth potential and attitudes are equally important. If you’re prepared to grow dramatically with your team at a world-class learning organization, consider applying. We understand that the most creative solutions require diversity in thought and life experiences.

Flipp is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We are proud to be a welcoming space for employees, of every background, to bring their whole selves to work with confidence. Flipp is committed to providing appropriate accommodations to ensure our selection process is equitable, and such accommodations can be made available on request. If you require an accommodation, please contact your dedicated recruiter directly.

A member of our recruitment team will respond to you in the coming weeks.

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