MediaMath

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Data Engineer, Analytics

Data Engineer, Analytics

Job Locations 
US-MA-Cambridge
US-MA-Cambridge
US-NY-New York
Category 
Professional Services
Travel 
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Level 
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More information about this job

Overview

MediaMath’s strength is in numbers.  Our technology analyzes 200 billion customer opportunities daily– more volume than the top 10 stock exchanges in the world, combined. 

Over 700 Mathletes in 16 global offices are trusted by two-thirds of the Fortune 500 and partner with thousands of marketers to ensure brands connect with right audiences, in the right place, in the right time.

 

We believe consumers want to have meaningful conversations with their favorite and yet-to-be-discovered brands across all digital touchpoints. Our omnichannel, integrated programmatic platform unites digital media and big data to maximize the return on every marketing dollar spent by making advertising relevant, personalized, measurable and controllable.   From inventing the DSP category in 2007 to being named a DMP Forrester Challenger (our first year participating in the DMP Wave!) in 2017, we continue to deliver results for marketers more quickly and accurately than any other solution. 

Technology is changing the way brands interact with consumers.  MediaMath is powering that change.  Come be a part of it!

 

MediaMath’s Analytics Engineering team is currently seeking a Data Engineer with the knowledge, passion and capability to develop data pipelines to surface insights for internal and external clients.  The Analytics team fulfils customers’ advanced analytics and reporting needs through custom reports and analyses, advanced statistical applications, predictive modelling and interactive web dashboards to help clients effectively manage campaigns and optimize performance.  This role, on the Analytics Engineering team within the Analytics team, will build and optimize services to work with our petabyte sized datasets.

Responsibilities

  • Carry deep knowledge of relevant MediaMath systems (databases, APIs) and data workflow.
  • Design and develop tools to improve internal workflow and processes.
  • Benchmark and evaluate new software packages and infrastructure.
  • Field technical escalations and aid in technical training for our team of Data Analysts and Software Engineers.
  • Identify areas of improvement with existing scripts and existing database/ETL infrastructure.
  • Become proficient in optimization, debugging and building of production ready services using Hive and Spark.
  • Provide feedback for report delivery and infrastructure workflow improvement efforts.

 

This is not an exhaustive list of responsibilities. As part of our global team, you may be required to be work off-hours or be on-call on a rotating basis. Other duties may be assigned, as needed. MediaMath retains the right to change job duties at any time.

Qualifications

  • Bachelor Degree or higher, preferably with a concentration in a computational field such as Computer Science, Mathematics, Statistics, Physics, Engineering; Masters Degree preferred
  • Strong SQL, Python programming; experience of at least one big data technology, e.g. MapReduce, Hadoop, Hive, Spark, Pig, AWS/S3 a plus
  • Experience with AWS services (or similar) like EC2, RDS, S3, EMR and Redshift a must.
  • Strong verbal communication skills, extremely well-organized
  • Exposure to online advertising systems or ad tech industry a plus

 

MediaMath is privately held, employee owned, and headquartered in New York. Mathletes enjoy: Company equity. Performance Bonus. Comprehensive Insurance. Global Internal Mobility. Open Paid Time Off, Philanthropy and Holidays. 401(k) match. Paid Parental Leave. Cell Phone Reimbursement. Modern office space. Onsite Fitness & Wellness. MediaMath.org.


If there might be a match, you'll be scheduled for a first round interview; a 30-minute phone call with our recruiting team so we may get a better understanding of why you are interested in MediaMath and why you think it's a fit. We do our best to respond to everyone, however due to the volume of applications received, only those selected for interviews will be contacted. If you really think we’ve missed the mark, please follow up with globaltalentacquisition@mediamath.com and let us know why you’re the perfect fit!