Data Engineer I

Published: 2024-09-03

Job details

Santa Monica, California, United States
$119k - $137k
Hybrid
Full-time

GumGum is a contextual-first, global digital advertising platform that uses advanced AI  technology to serve captivating creative ads that drive consumer attention, without the use of personal data. At GumGum, we don’t need to know who you are to deliver relevant and engaging ads that align with your active frame of mind. We believe that a digital advertising industry based on context rather than personal data builds a more equitable and less invasive future for the internet and is better for consumers, publishers and advertisers alike. Our blueprint for the future, The Mindset Matrix™, combines the power of context and creative in digital advertising to deliver superior attention and drive consumer action without sacrificing personal data. 

To be a part of this next phase of digital advertising that prioritizes data privacy, please visit www.gumgum.com/careers

Data Engineer I is an entry-level role perfect for someone with a passion for data and a desire to build and support Big Data systems that drive numerous business functions using near real-time data analytics solutions. The ideal candidate will work closely with various teams to design, implement, and maintain our data infrastructure, ensuring it supports key business decisions and operations.

Reporting to our Data Engineering Manager, this role works as part of a team of engineers in the technology division of our advertising business.

Note: GumGum fosters a flexible work environment, offering GumGummers the ability to work either in-office or remotely/from home. However, for occasional in-person collaboration, we kindly ask that this position be located within a 'commutable' distance to our office.

#li-hybrid

What You'll Achieve

  • Design, implement, and support ETL pipelines using Snowflake, AirFlow, Looker, Kafka, and Spark.
  • Handle petabyte-scale data ingestion with Spark/Snowpipe.
  • Design partitioning and clustering strategies for efficient OLAP operations on large Snowflake tables.
  • Collaborate with product teams to translate business requirements into data pipelines.
  • Own and scale core data pipelines, providing support and bug fixes.
  • Participate in technical discussions, code reviews, and follow best practices.
  • Generate reports using SQL, Python, Spark, and LookML.
  • Work on PoCs to test emerging technologies.
  • Enhance and build reports in Looker as needed.
  • Continue skill development under mentorship.

Skills You'll Bring

  • Bachelor’s degree in Computer Science/Information Systems or equivalent.
  • 1+ years of software engineering experience (Java/Scala/Python).
  • Experience with large-scale distributed data systems (AWS, Spark, Kafka, Snowflake, BigQuery).
  • Minimum 2 years of overall experience.
  • Strong understanding of SQL databases.
  • Familiarity with AWS services, serverless architecture, and containers.
  • Ability to orchestrate data processing systems (Airflow).
  • Quality code writing and building secure, highly available systems.
  • Experience with dataframes (Pandas, Dask, Spark).
  • Strong communication skills and ability to explain technical concepts effectively.
  • Self-starter with initiative, collaborative, and eager to adopt new technologies.
  • We embrace a flexible work environment! For this role, you'll have the opportunity to work both remotely and from our Santa Monica office. We ask that you're able to join us in the office 2-3 times per week to collaborate with your team and enjoy the in-person vibe.

What We Offer

At GumGum, competitive base pay is a part of a total rewards package which also includes benefits, an emphasis on recognition, development, and wellness. The reasonable estimated base pay range for this role is from ($119,000 $137,000) annually.  The actual amount may be higher or lower. Individual compensation will vary based on factors including, but not limited to, relevant qualifications, work location, and labor market conditions.

The total rewards package offered also includes an employer-matched 401(k) retirement plan, and depending on the role, participation in a bonus, commission, or stock incentive program. Your recruiter can share more specifics during the hiring process. Learn more about our U.S. benefits & perks package at gumgum.com/benefits.

Awards

  • Shortlisted for Marketing Technology Company of the Year for the 2023 Mumbrella Awards
  • 2024 Winner of 7 BuiltIn Awards on a national, regional, and remote scale - including Remote Best Places to Work at #25 and Best Midsize Places to Work in Los Angeles, CA at #9
  • Ad Exchanger Programmatic Power Player 2022 and 2021
  • CTO  Hero Award of OTT.X 2023
  • Digiday Media Awards Europe finalist 2022 and 2021
  • Finalist for the 2023 AdExchanger Awards Best Video Technology For Media Suppliers
  • Gold Award at the IAB Mixx Awards in Belgium in the “Best Use of Advertising Technology” category
  • The Drum Award Digital Advertising: Game-changing Technology for Domino's case study

GumGum is proud to be an equal opportunity employer. At GumGum, we believe in cultivating an environment where our team members can bring their authentic, whole selves to work. Encouraging identity and belonging is one of the many aspects of our culture that makes us stronger as an organization and drives innovation. We are committed to building and delivering a diverse, inclusive, and equitable workforce that is representative of the world around us, where all individuals are treated with respect and dignity - and to act swiftly if this value is ever threatened. We are constantly striving to be better, and we continue to take strategic steps to advance representation. - Phil Schraeder, CEO

Learn more about our DEIB programming at gumgum.com/deib

Follow us on our socials...

Instagram: @gumgum & @dogsofgumgum
LinkedIn: GumGum
Tweet us: @gumgum
Facebook: GumGum

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