: Lead Data Engineer

We are a leading data analytics company that services some of the largest political, advocacy, and commercial organizations in the country. In order to help organizations that don’t often have the benefit of a large grassroots following or clear demographic coalitions on their side, we developed the Social Graph -- a database that identifies more than 25 billion social relationships between over 250 million Americans. We have developed a series of proprietary data products that use the Social Graph to help various candidates, causes, and companies counterbalance their opposition through innovative targeting, polling, and voter mobilization tools. Beyond our robust political and advocacy business, we are a venture-backed technology company that has received significant funding from everyone from global sports and entertainment leader, William Morris Endeavor to senior executives at Twitter and Yelp. Over nearly 7 years of operating, we have powered some of the most sophisticated and successful political and advocacy campaigns in the country. These have ranged from Gov. John Kasich’s 2016 U.S. presidential campaign and Rep. Conor Lamb’s surprise 2018 special election victory to working with Boeing, Blackstone, KKR, and several of the largest bipartisan education reform organizations in the United States. Our work has been featured by Bloomberg BusinessWeek, The Washington Post, The Associated Press, USA Today, Politico, and The Colbert Report.

About the Role

As a Lead Data Engineer  at Applecart, you will have the opportunity to create data-driven products in the domains of politics and advocacy. This role is part individual contributor, part manager, where you will lead and mentor a team of data engineers and data scientists, and work with them to further develop our social graph and new data products. As the most senior technical team member, you will work with the VP of Analytics on product roadmaps and present key technical decisions to Applecart leadership. All of your efforts will be geared towards increasing the impact Applecart has on its campaigns and supporting the client analytics teams to increase the quality and efficiency of their work.

Who You Are

Qualifications:

  • 5-6+ years of applied software engineering experience
  • You possess a BS or advanced degree in Computer Science, Math, Statistics or other quantitative field
  • You have previously built large data products from scratch and maintained those products through the entire software development lifecycle at a growth-stage startup
  • Expertise in writing well-abstracted, reusable, object-oriented code components while ensuring maximal test coverage
  • Experience working with data scientists to put supervised learning models into production and comfortable leveraging and interpreting outputs from common DS tools (e.g. scikit-learn, mice, caret, XGBoost)
  • Experience leveraging Spark (DataFrames, Query/Job Optimization, Building ETL Pipelines)
  • Energized working in a fast-paced, highly collaborative and ambitious startup work environment

Preferred Qualifications:

  • Experience with Entity Resolution across and within datasets
  • Knowledge of graph theory and experience working with graph algorithms and data structures
  • You have a significant interest in or experience working in US electoral politics
  • Comfort integrating 3rd party APIs into new and existing data products
  • Experience creating microservice APIs throughout the entire software development lifecycle
  • You have a strong command of Python and common back-end frameworks (e.g. Django)
  • Have 2+ years experience working with Amazon Web Services (RDS, S3, EC2, EMR, Data Pipeline) and Docker
Full-time

Employee Testimonials

D. Clay Hambrick, PhD
Senior Software Engineer & Architect

"At Applecart, I get to work every day right at the intersection of data engineering and data science: architecting and coding scalable data pipelines while making dozens of data-driven decisions around data schemas, feature engineering, entity resolution and more. Coming from Google, I appreciate the dynamic, fast-paced startup culture and the high level of autonomy & ownership I have over my work."