Senior Data Engineer

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire grow and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP) our vision is to make sophisticated marketing simple by unifying identity intelligence and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more go to www.zetaglobal.com.

The Role 

We’re looking for a Senior Data Engineer to design build and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing reliable data products and analytics-ready datasets that enable prediction agentic workflows BI reporting and measurement. You will partner closely with backend ML and product teams to deliver trusted well-modeled data with strong performance quality and observability. 

What You’ll Do 

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest transform and enrich large-scale event data (impressions clicks conversions costs identity signals). 

• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models agents BI dashboards and measurement workflows. 

• Data modeling & contracts: Define schemas data contracts and versioning strategies to keep downstream systems stable as sources evolve. 

• Data quality & reliability: Implement validation anomaly detection backfills and reconciliation to ensure completeness correctness and timeliness (SLAs/SLOs). 

• Performance & cost optimization: Optimize compute/storage for scale (partitioning file sizing incremental processing indexing) balancing latency throughput and cost. 

• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g. Airflow Dagster Step Functions) and CI/CD for data pipelines. 

• Observability for data systems: Instrument pipelines with metrics logs lineage and alerting to accelerate detection and root-cause analysis of data issues.
• Security & governance: Apply least-privilege access PII-aware handling and governance controls aligned with enterprise standards.

Qualifications

• 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
• Strong experience with SQL and data modeling (dimensional modeling star/snowflake schemas event modeling). 

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis including event-driven designs. 

• Proficiency in one or more languages used for data engineering (Python Java Scala or Go). 

• Experience with distributed data processing (Spark Flink or equivalent) and performance tuning at scale. 

• Experience with AWS data services and cloud-native patterns (S3 Glue/EMR Athena Redshift etc. as applicable). 

• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g. Parquet; Iceberg/Hudi/Delta are a plus). 

• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads. 

• Strong data quality/observability practices (tests monitoring lineage; understanding of SLAs/SLOs). 

• Experience with SQL + NoSQL data stores (e.g. Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
• Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces. 

Preferred Experience

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows. 

• Experience building measurement pipelines (attribution incrementality lift or experimentation analytics).
• Experience supporting ML feature stores offline/online feature generation or model training datasets. 

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies. 

• Deep knowledge of data governance/privacy including PII handling and consent-aware data processing. 

• Open-source contributions publications or conference speaking. 

• BS/MS in CS/Engineering or equivalent practical experience. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical dental and vision coverage
• Employee Equity
• Employee Discounts Virtual Wellness Classes and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165000 - $175000 depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to and does not discriminate on the basis of an individual’s sex race color religion age disability status as a veteran or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate support and advocate for one another. Learn more about our commitment to diversity equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases

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What We Do

Zeta Global (NYSE: ZETA) is the AI Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire grow and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP) our vision is to make sophisticated marketing simple by unifying identity intelligence and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world.

Why Work With Us

At Zeta people have the freedom to think creatively take initiative and grow. We value curiosity innovation and teamwork empowering everyone to use AI and technology in smarter ways to drive impact for clients consumers and each other while shaping the future together.

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