Senior Data Engineer - Measurement

New York City, NY, United States

Applications have closed

LiveRamp is the leading data connectivity platform. We believe connected data has the power to change the world. Our platform powers insights and experiences centered around the needs of real people, and in ways that keep the Internet open for all. LiveRampers thrive on building together with curiosity and humility—and have a good bit of fun along the way. We’re always looking for smart, kind, and creative people to grow our team and impact.

Mission: LiveRamp makes it safe and easy for businesses to use data effectively.

The Measurement team wrangles petabytes of data and leverages advanced data science techniques to help LiveRamp’s customers quantify the efficacy and ROI of their ad campaigns. The team employs best of breed distributed computing technologies to generate advanced analytics results that can be distributed through a variety of business intelligence tools.

You will:

  • Help design and implement cloud agnostic distributed computing solutions to run advanced data modeling techniques at scale.
  • Work closely with data scientists and engineers alike to adjust and optimize code, queries and infrastructure for scale.
  • Gain experience working in multiple cloud environments such as AWS and GCP.
  • Treat infrastructure as code leveraging tools like Terraform, Docker and Kubernetes.
  • Help design new product offerings in the Measurement space.

Your team will: 

  • Develop Reach, Frequency, Lift and Attribution batch and time-series models for in-depth ad campaign measurement business intelligence analysis.
  • Enable configuration-driven workflows that automate batch and streaming-based processing on top of Measurement services and assets.
  • Provide an orchestration platform for complex measurement model builds using the latest open source and cloud native technologies.
  • Explore Machine Learning algorithms as applied to measurement analytics.

About you: 

  • Have 7+ years of experience writing and deploying production code.
  • Strong ability to break down complex problems to their essential components and design and implement elegant solutions for them.
  • Experience with designing and implementing interfaces and infrastructure for large volume services and APIs.
  • Curious to learn and comfortable evaluating and adapting to the latest tools and industry best practices.
  • Strong SQL knowledge and experience working with relational databases.
  • Good understanding of distributed computing and distributed SQL.
  • Proficient in Python and Scala.
  • Experience with data processing platforms such as Hadoop or Spark.
  • Proficient with programming using map-reduce paradigm.
  • Proficient in cloud technologies.
  • Have a startup personality and enjoy working as part of a Scrum team: smart, ethical, friendly, hard-working, and productive.
  • Strong oral and written communication, project management and organizational skills.

Bonus Points:

  • Experience with processing hundreds of terabytes or petabyte scale of data.
  • Strong mathematical or physics background.
  • Familiarity with Presto open source distributed SQL query engine.
  • Operational knowledge of AWS EMR, Lambda, Redshift and / or BigQuery.
  • Experience with Data Analytics Platform technologies like CDAP.
  • Expertise in applying machine learning to data to maximize data value.

Benefits:

  • People: Work with talented, collaborative, and friendly people who love what they do.
  • Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues. 
  • Work/Life Harmony: Flexible paid time off, options for working from home, and paid parental leave.
  • Whole Health Package: Medical, dental, vision, and disability insurance. Plus mental health support (via Talkspace) and a fitness reimbursement up to $100 per month. 
  • Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead (U.S. LiveRampers)
  • RampRemote: A comprehensive office equipment and ergonomics program—we help you set up your home office (Home-based LiveRampers)
  • Location: work in the heart of New York and/or from home (remote-eligible roles)

More about us:

LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.

LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.  California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.

To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.

Tags: APIs AWS BigQuery Business Intelligence Data Analytics Docker GCP Hadoop Kubernetes Lambda Machine Learning Open Source Physics Python RDBMS Redshift Scala Scrum Spark SQL Streaming Terraform

Perks/benefits: 401(k) matching Career development Fitness / gym Flex hours Flex vacation Health care Home office stipend Insurance Medical leave Parental leave Startup environment Team events

Region: North America
Country: United States
Job stats:  3  0  0
Category: Engineering Jobs

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