Data Engineer

The global advertising market is a $500b dollar a year market. The core goal being to drive a consumer into a location where a product is sold. The challenge is that no advertiser today can definitively prove that they have been successful in achieving this goal – that is where Freckle comes in.

Are you intrigued about introducing technology to the global advertising market that will fundamentally change the way advertising is bought and sold? Do you think the industry should move away from the CTR as its core metric and focus instead on an attribution metric? Are you looking to make the move to a data first company having tired of the platform war? Are you excited to work in a small team where everyone knows who you are and appreciates what you are doing for the company? Do you want to apply new technologies like Blockchain instead of just talking about them?

Freckle is a true start up. It is hard, but you will learn a lot. We work fast, have big aspirations and have a lot of fun along the way.


  • You have a passion for distributed computing and large data platforms.
  • You are not fazed by complex, unstructured problems.
  • You want to do more than create a data pipeline or reports, you want to create AI-driven decisions.
  • You know how to find data, move it around, transform and fill in the gaps and implement your ideas through programming/statistical languages.
  • You enjoy elegance in your solutions.
  • You enjoy staying ahead of the curve with a knowledge and interest in emerging technologies.
  • You own your challenges.
  • You could stand being in submarine with your team for a month.


  • Designing and developing Freckle’s Data Platform.
  • Helping build the vision, strategy for the future state of analytics, dash-boarding, and reporting.
  • Driving the collection of new data and the refinement of existing data sources.
  • Analyzing and interpreting the results.
  • Processing, cleansing, and verifying the integrity of the data used for analysis.
  • Data mining.


  • An undergraduate degree in Computer Science or equivalent from an accredited University.
  • 3+ years in Software Engineering.
  • Experience with Spark, Hadoop, or other distributed processing technologies.
  • Experience in various programming languages and systems: Java, Python, Scala.
  • Experience or an understanding of Machine Learning frameworks.
  • Experience in using EC2, S3, EMR, RDS.
  • Experience in programmatic or digital advertising a plus.
  • Experience in real-time data processing a plus.
  • Experience in Blockchain, Ethereum, and related technologies a plus.


  • Competitive compensation.
  • Comprehensive, health, dental and vision plan.
  • A great corporate culture.
  • A fulfilling, challenging and flexible work experience.
  • The opportunity for career growth.

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All interested candidates should send their resume with “Data Engineer” in the subject line to