Data Engineer

Santa Monica, California, United States Full-time

We are looking for a data engineer to help support data design, architecture, database operations, and data pipeline functions. You will be joining a data engineering team serving all areas of the business with a particular focus on product development, user acquisition and data science. As a key player on a small team, you will have the opportunity to lead and deliver in a variety of areas leveraging your strengths. Data engineering is central to our business from user acquisitions to retention to forecasting to in-product recommendations. We are seeking candidates with strong communication skills and diverse, demonstrated experience delivering various types of projects and exploiting multiple skill sets (e.g. etl,ops,analytics,lambda architecture,streams,database admin).

About Us

Mammoth Media is focused on creating mobile alternatives for TV audiences.  As teens and millennials engage media in new ways, we are there to meet them with compelling experiences centered around native mobile apps.  Founded and incubated by Science Inc., Mammoth has reached over 12 million teens for over 65 million hours of usage and 1 billion sessions in our first two years of existence.  

  • We rapidly develop new products and services
  • We aggressively pursue the latest product trends and compelling experiences
  • We build products that immediately get major scale and are in front of millions of eyeballs
  • We have a top 250 app in the Google Play Store and two top ten apps in the iTunes store with another app in development

Responsibilities

  • Develop improved frameworks and pipelines
  • Optimize code for scale and performance
  • Support analytics and modeling
  • Contribute to architecture planning and data design
  • Contribute to data stewardship
  • Help maintain code quality, organization, and testing

Minimum Skills & Experience

  • 2+ years building and maintaining large scale analytics systems
  • 2+ years programming experience (Python, Scala, Spark, Go, Node preferred)
  • Strong understanding of architecting, maintaining and developing cloud technologies (especially AWS)
  • Demonstrated ability to deliver and communicate progress
  • Proficient understanding of code versioning tools ( Git )

Preferred Skills & Experience

  • Proficient with AWS Lambda and/or Glue
  • Experience with Amazon Redshift
  • Familiar with streaming data platforms (Kinesis, Kafka)
  • Experience or strong interest in delivering data products and lambda architecture
  • Experience in startup environment

Requirements

  • Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Economics, Finance, Mathematics, Statistics, Engineering) OR equivalent experience

Additional Benefits

  • Competitive compensation
  • Employer sponsored 401k
  • Medical, dental, and vision insurance
  • Unlimited PTO + 12 company holidays
  • Flextime hours
  • All the best toys: evodesk, large displays, new macbook...
  • Monthly company social events and personalized lunch delivered on Fridays
  • Located inside powerhouse incubator Science Inc. in DT Santa Monica
  • Free parking (and free charging for e-cars) OR metro pass reimbursement