Data Engineering Project Intern (Ads Targeting) - 2027 Start

About the role

Ads Core team is chartered to build key monetization components across various ad delivery stages: We build up ranking, bidding, budget, format, diagnosis and other frameworks that serve as a mid platform to enable other ad teams to iterate their products in parallel. We implement outstanding traffic strategies to maximize revenue under the constraint of user experience and achieve complete exploration of advertiser's audience. Our model driven automation solutions optimize ad delivery performance from end to end. As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests.

Responsibilities

• Help build foundational targeting data and platform capabilities, including: Gender, age buckets, geo targeting (country/region/city/POI/lat-long), device/OS, language, etc.
• Assist in user profile/targeting tag pipelines: ingestion, cleaning, definition alignment, tag generation and refresh.
• Develop batch and streaming jobs (depending on stack): offline (Hive/Spark), real-time (Flink/Kafka).
• Improve data quality: consistency checks, latency monitoring, anomaly alerting, backfill and remediation.
• Provide stable data services to ads delivery/strategy systems: audience packages, tag query, targeting rule parsing (with mentorship).

Qualifications

Minimum Qualifications:

• Currently pursuing a Undergraduate/ Master's in CS/Data Engineering/IS or a related discipline.
• Strong SQL and solid data modeling fundamentals.
• Proficient in at least one language: Java/Scala/Python.
• Familiar with parts of big data ecosystem (Hive/Spark/Flink/Kafka/Airflow) is a plus.
• Detail-oriented; comfortable working on data definitions and quality governance.

Preferred Qualifications:

• Experience with user profiles, tagging systems, DMP/CDP, ads or recommender data pipelines.
• Exposure to privacy, anonymization, access control (as needed).

Pay

The hourly rate range for this position in the selected city is $45–$60.

Benefits

• Day one access to health insurance, life insurance, wellbeing benefits and more.
• 10 paid holidays per year.
• Paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
• Housing allowance for interns who are not working 100% remote (eligibility may apply).