SDE 3

We're looking for a passionate and skilled SDE3 Data Engineer to join our Accelerate Platform team in Mobi's flagship SMB-facing AdTech and E-commerce optimization platform. You'll build scalable, real-time data pipelines that power ML models, campaign optimizations, and attribution across Google, Meta, TikTok, and other ad networks.
Responsibilities:
Design, implement, and optimize real-time and batch data pipelines using Spark, Kafka, Airflow, etc.
Ingest and normalize data from multiple ad networks (Google Ads, Meta, TikTok) and e-commerce platforms (Shopify, Wix).
Ensure high-quality, reliable, and fault-tolerant data delivery to downstream systems and ML models.
Contribute to data modeling and schema design for high-throughput analytical use cases.
Collaborate with ML engineers, backend teams, and product managers to meet platform requirements.
Participate in code reviews, data validation, and unit/integration test automation.
Requirements:
5-8 years of hands-on experience in data engineering at scale.
Strong programming skills in Python or Scala.
Proficiency with distributed data processing tools like Apache Spark, Beam, or Flink.
Experience with Kafka, Airflow, Hive/Presto/Trino, and data lake solutions (S3/Delta/Iceberg).
Good understanding of SQL, data quality practices, and CI/CD for data pipelines.
Bonus: Experience with ad tech data formats, attribution models, or campaign analytics.

Experience
5-9 yrs