Casper is hiring a

Data Engineer

New York, United States

Job Overview

Casper is looking for a Data Engineer to support our growing interest in big-data, analytics, and business intelligence. As a new area of our business you’ll build tools designed to give us rapid feedback about our business.

An ideal team member is resourceful in getting things done, can be productive working independently or collaboratively, and is motivated by solving challenging problems. This position will report to the Director of Platform Engineering. Must be able to work from our office in New York.

What you'll do:

  • Continuously design, develop, and test data-driven solutions
  • Help drive the optimization, testing and tooling to improve data quality
  • Develop measurement approaches to evaluate performance continuously
  • Span languages as needed, depending on the data processing framework in use
  • Collaborate with software engineers, ML experts, and others, taking learning and leadership opportunities that will arise every single day

Some Challenges You’ll Tackle:

  • Develop compelling PoC’s for data solutions using emerging technologies for real-time and big data ingestion and processing
  • Contribute to designing, building, and deploying high-performance production platforms/infrastructure to support data warehousing, real-time ETL, and and batch big-data processing
  • Design, build, and maintain processes and components of a streaming data/ETL pipeline to support real-time analytics (from requirements to data transformation, data modeling, metric definition, reporting, etc)
  • Focus on data quality. Detect data/analytics quality issues all the way down to root cause, and implement fixes and data audits to prevent/capture such issues
  • Collaborate with analysts to design and develop processes to further business unit and company-wide data science initiatives on a common data platform
  • Translate business analytic needs into enterprise data models and ETL processes to populate them

Requirements:

  • 4+ years of relevant experience as a data scientist, software engineer, business intelligence engineer, or equivalent role
  • Strong experience with ETL, Data Modeling, and Business Intelligence delivery
  • Expert in writing SQL
  • Must be experienced with Python and Unix
  • A passion for technology - We are looking for someone who is keen to leverage their existing skills while trying new approaches

Mega Bonus Points for:

  • Experience with AWS solutions such as Amazon Redshift, DynamoDB, S3, and CloudFormation
  • Familiarity with statistical methods and experimentation (A/B testing)
  • Experience with batch and real-time data processing frameworks like Spark or Flink
  • Experience building Machine Learning models and APIs using Amazon ML

Company Overview

Casper (casper.com) is a sleep brand that launched in 2014 with one perfect mattress sold directly to consumers — eliminating commission-driven, inflated prices. Its award-winning sleep surface was developed in-house, has a sleek design, and is delivered in a small, "how did they do that?" sized box. A year and a half after launching the mattress, Casper expanded its universally comfortable product line, which now includes a perfect pillow and sheets

The company is one of the fastest growing consumer brands of all time with more than 100 full-time employees, $100M in revenue for 2015, and 100,000 Casper owners. Casper was named one of Fast Company's Most Innovative Companies in the World, and its eponymous mattress was crowned one of Time's Best Inventions of 2015.