About the role

Role Overview

Join Zeta as a Senior Data Engineer to design, build, and operate high-scale data pipelines and aggregates for its AdTech platform. You’ll partner with backend, ML, and product teams to deliver reliable, well-modeled data with strong performance, quality, and observability.

Responsibilities

Design, build, and operate batch and streaming data pipelines and aggregates
Create data aggregates and marts to support platform use cases
Define data modeling and data contracts
Ensure data quality and reliability (tests, monitoring, lineage, SLAs/SLOs)
Implement validation, anomaly detection, backfills, and reconciliation for completeness/correctness/timeliness
Optimize performance and cost for large-scale processing
Build orchestration and automation for data workloads
Support measurement workflows (e.g., attribution, incrementality, lift, experimentation analytics)

Requirements

Strong SQL and data modeling (dimensional modeling; star/snowflake; event modeling)
Strong data quality/observability practices (monitoring, lineage, SLAs/SLOs)
Proficiency in one or more data engineering languages: Python, Java, Scala, or Go
Familiarity with lakehouse/table formats (e.g., Parquet, Iceberg/Hudi/Delta)
Experience with ML feature stores or offline/online feature generation and/or training datasets
Experience with real-time analytics stores (e.g., Druid, ClickHouse, Pinot) and high-cardinality aggregation
Experience with data orchestration/workflow tools (e.g., Airflow, Dagster, Step Functions) and CI/CD for data workloads
Experience with distributed processing at scale (Spark, Flink, or equivalent) and performance tuning
Experience with SQL + NoSQL data stores and selecting the right store for the use case
Hands-on streaming systems experience (e.g., Kafka preferred) and/or AWS Kinesis
AdTech/programmatic advertising domain knowledge (DSP/SSP/exchange/RTB concepts)
5+ years building production data pipelines/data products (batch and/or streaming) in high-scale environments
Clear communicator; able to translate needs into reliable data interfaces
Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc.)
Deep knowledge of data governance/privacy, including PII handling and consent-aware processing

Nice to Have

Open-source contributions, publications, or conference speaking
BS/MS in CS/Engineering or equivalent practical experience

About Zeta Global

Zeta Global is an AdTech platform that supports programmatic advertising through data, targeting, and analytics. The company builds high-scale data pipelines and products to power trusted, well-modeled data across advertising and downstream teams including ML and product.