Python Engineer, Graph & Data Ingestion

New York, United States Full-time

Applecart deploys proprietary technology to run smarter advertising campaigns. We work with some of the nation’s most prominent corporations, non-profit organizations and political candidates to activate and communicate with key target audiences at a scale and level of efficacy previously thought impossible. Part high-level strategic consultancy, part cutting edge data R+D lab, Applecart offers proven solutions derived from objective, iterative experimentation. Our core offering is a proprietary social graph that leverages publicly-available data to map real-world relationships between individuals at national scale. Our roots are in politics, where we have tested and honed our methods at every level, in high-impact circumstances. We’re branching out beyond political campaigns to tackle new advertising challenges in which determining “who knows whom” provides decisive advantages for our clients.

Applecart’s political work has been featured by The Colbert Report, CNN, The Washington Post, The Associated Press, USA Today, The Huffington Post, among other prominent news outlets.

As a Python Engineer on our engineering team, you will be responsible for sourcing, enhancing and integrating data sources to our social graph while providing optimizations to said graph for creation of powerful machine learning applications. Your work will directly affect our clients in the form of election outcomes, increasing political and non-profit fundraising yields and optimizing advertising spends and risk assessments.

Responsibilities:

  • Create, maintain, and scale data pipelines between data ingestion, the social graph, machine learning, client deliverables, and data warehousing.
  • Create technology for supplementing training data for our machine learning models through a variety of communication channels.
  • Implement systems for instrumented monitoring of streaming and batch data processing (e.g. DataDog, Nagios). Track data quality and consistency.
  • Interact cross-functionally with a wide variety of people and teams. Work closely with client services and data engineers to identify opportunities and assess improvements to Applecart products and deliverables.
  • Evangelize solid coding practices (e.g. test driven development, code reviews, continuous deployment, automated linting, staging environments).
  • Contribute to the architectural designs and decision making around data stores, schemas, data security and cloud storage.
  • Rapidly prototype proof-of-concept data pipelines for social graph ROI determination.
  • Keep abreast of industry trends, best practices, and emerging methodologies.

Basic Qualifications:

  • BS or MS degree in Computer Science, Math, Statistics or other technical field.
  • 1-2+ years of applied software engineering experience (especially startups, Python).
  • Background in data modeling & schema design.
  • Ability to write well-abstracted, reusable code components.
  • Ability to work in a fast-paced environment.
  • Expertise in building and maintaining reliable ETL jobs.
  • Experience working in teams, packaging and deploying code in a production setting.
  • Experience with Amazon Web Services (RDS, S3, EC2, EMR, Data Pipeline).

Preferred Qualifications:

  • Experience in any of the following: Spark, Cassandra, Elastic Search or similar tech.
  • Background in data wrangling various structured, unstructured data sets, consuming APIs (e.g. rate limiting and exponential back-offs) and alike.
  • Knowledge of graph storage and computation frameworks (e.g. GraphX, TitanDB).
  • Engagements in a variety of coding projects, examples including but not limited to browser extensions, full stack development, web scraping & mechanical turk automation.
  • Significant interest or background in politics, advertising technology and/or behavior modeling is a big plus.