AWS / Python / Scala

Big Data Engineer USA Remote

About Us

Since 2010, we have been the leader in 360-degree consumer intelligence, real-time marketing and attribution for thousands of major brands. Through our data-driven advertising suite, brands can build targeted audiences, activate real-time, omni-channel campaigns and measure their success in driving real-world visits and sales.

About You

You build real products in the real world. You understand that off the shelf solutions vs building them yourself have tradeoffs and when to make the right decision. You have the ability to mentor junior engineers, and understand tradeoffs for scale, elegance of solution and time. You may have a preferred programming language but you’re not afraid to tackle problems in other languages you’ve never used before. You love the fact that code is continuously tested and released for fast feedback. You are great at communicating and making sure decisions are made that satisfy multiple stakeholders.

Job Description

Join one of the fastest growing teams at at the company as a Big Data Platform Engineer. You will be joining the measurement team who provides solutions for premier clients like:
Dunkin Donuts, Home Depot and many others. You will develop and implement machine
learning models and algorithms to empower internal/external customers and solve
business problems. You will work closely with data scientists to develop the models,
work with data engineers for pipeline dependencies and ultimately implement into the
codebase. You will work with large data sets, ETLs and our analytics platform to fuel
report generation and drive growth.

Your daily Impact as a Big Data Platform Engineer – Measurement:

  1. Design and implementation of data driven initiatives such as Big Data analytics application development and architecture using Spark, Scala and GCP
  2. Be responsible for the End to End of the product – modeling, backend system design, implementation, AB testing, and rollout.
  3. Collaborating in a team environment across all functions, including but not limited to engineers, product managers, data scientists, operations.

Requirements

  1. Background in SQL
  2. Strong coding skills in Scala, Python
  3. Experience with ML and Statistical concepts including trade offs of various types of models
  4. Experience with Spark.
  5. Cloud experience, AWS and/or GCP
  6. Experience dealing with hundreds of Terabytes of data
  7. Experience with building and optimizing large scale and high-performance systems
  8. Strong collaboration and communication skills within and across teams.
  9. B.S. or M.S. in Computer Science or a related field
  10. At least 3 years ML Engineer or Data Engineer experience
  11. Familiarity with the digital media / advertising industry is a plus
  12. Airflow experience is a plus

Job Overview

  • Job Title: Big Data Engineer
  • Salary: $6,000 - $8,000
  • Referral Bonus: $1,500
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