Kargo

Senior Data Engineer

Posted 17 Days Ago

New York, NY

Senior level

AdTech

The Role

As a Senior Data Engineer at Kargo, you will work with the Targeting and Audiences team to enhance data methodologies, create scalable processes for large datasets, and improve data targeting strategies. Responsibilities include maintaining data integrity, collaborating with product and data science teams, and building data pipelines for real-time bidding.

Summary Generated by Built In

Kargo creates breakthrough cross-screen ad experiences for the world’s leading brands and publishers. Everyday, our 600+ employees bring the power of their creativity and diversity to radically raising the bar on what mobile, CTV, AI, social, and eCommerce can do to wow consumers and build businesses. Now 20 years strong, Kargo has offices in NYC, Chicago, Austin, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Humble brag: In 2024, Kargo was recognized as a Best Place to Work by Ad Age and Built In.

Who We Hire

Success takes all kinds. Diversity describes our workforce. Inclusion defines our culture. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, national origin, protected veteran status, disability or other legally protected status. Individuals with disabilities are provided reasonable accommodation to participate in the job application process, perform essential job functions, and receive other benefits and privileges of employment.

Title: Senior Data Engineer

Job Type: Full-time; 3 Days In Office

Job Location: New York, NY

Salary Range: $110,000.00 - $150,000.00 (On Target Earning)

The Opportunity

As cookie deprecation looms, Kargo must adapt to new ways of matching the right audience with the right ads. We are looking to add a Senior Data Engineer to our Targeting and Audiences team to help evaluate existing methodology, try out new solutions, and build processes that scale to petabytes of data. This role involves communication across engineering, data, product, and client-facing teams to ensure alignment on what we’re building and how it will be used. It involves performing experiments on how data is captured, stored, and interpreted, and evaluating the results once the methodology is applied to campaigns.

The Daily To-Do

Understanding and maintaining existing identity and contextual data obtained from internal logs and third parties, dealing with data volume and performance issues as they arise, and refactoring legacy processes to be more reliable/fit current best practices
Working with product and data science teams to expand our identity and contextual targeting capabilities; communicating needs with the engineering teams to ensure we can obtain this data and properly log it
Performing analytics on efficacy and accuracy of our current targeting strategies, data vendors, and internal reports
Building data pipelines to ingest, process, and load data to an in-memory database used by our real-time bidder. Current technologies used: Airflow, Snowflake, Aerospike, APIs. Current languages used: SQL and Python; need proficiency in both

Qualifications

Strong experience with Airflow, Snowflake, Python and SQL
Experience with Aerospike is a plus
Experience with petabytes of data, including building complex methods for loading this data quickly and efficiently, is a must
Experience in AdTech, and particularly around targeting, is highly preferred
Past programming experience in Python is highly preferred
Extreme attention to detail, great verbal and written communication skills, and a proactive attitude

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