Data Engineer

Car buying is reorganizing from around the dealership to around the smartphone, and ThirtySixteen is building tools to streamline the auto loan approval process for both consumers and dealer.
We’re looking for a Data Engineer to help bring together our internal data so we can make efficient decisions about our products and help develop some advanced features we are planning. You’ll be responsible for building ETLs and models based on in-house metrics, user generated data, enrichment data from third parties and external data that our customers are pushing into our system from their other applications.
ThirtySixteen is located in Dallas, Texas, and we are open to local or remote candidates who are legally authorized to work in the United States.


  • Build and own large parts of our data pipeline
  • Help with user-facing features that require interaction with a data pipeline or ML model
  • Build restful APIs around your work for the development team to use
  • Work with the development team to properly key application metrics
  • Build tools to manage, automate and monitor our data and data processing infrastructure
  • Work independently to produce required functional, technical, and user documentation


  • Experience in architecting, implementing and testing data processing pipelines and data mining / data science
    algorithms in a cloud environment
  • Demonstrable knowledge and understanding of statistics
  • Advanced SQL knowledge (PostgreSQL)
  • Experience with Python or Ruby
  • Experience working with and maintaining a BI platform

Nice to haves

  • Experience with ML frameworks such as Scikit-learn or PyTorch
  • Familiarity with modern development practices and DevOps


ThirtySixteen offers a great work-life balance and a competitive compensation package which includes
health/dental/vision, employee life insurance, matching 401k, a casual office, great PTO, and a flexible (mostly remote) work schedule.