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# Senior Software Engineer, Identity

- **Company:** Zeta Global
- **Location:** Nashville, TN, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Computer Programming, Databases, Information Engineering, Distributed Systems, Apache Hive, Python (Programming Language), NoSQL, Standard Sql, Data Streaming, Aerospike, Snowflake, Apache Spark, Backend, Build Management, Data Lakes, Kubernetes, Apache Flink, Luigi, Enterprise Integration, Apache Kafka, Api Design, Data Pipelines
- **Published:** September 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8127a1fdd36b3f92

## About the Role

* 5+ years of experience in backend and/or data engineering at enterprise scale.
 * Strong programming skills in Python, Java, or Scala, with expertise in API design and distributed systems.
 * Experience with Kafka, streaming frameworks (Spark/Hive/Flink), and schedulers (Airflow/Luigi).
 * Proficiency with Kubernetes (EKS) and AWS cloud deployment practices.
 * Knowledge of SQL, complex data modeling, and high-throughput NoSQL/columnar databases (Aerospike, Snowflake, Scylla, etc.).

Bonus Skills:

 * Experience designing multi-tenant distributed systems or real-time streaming frameworks (Flink/Storm).
 * Knowledge of open table formats (Iceberg, Hudi, Delta Lake) and security/privacy frameworks.

## Description

The Identity team operates the critical backend services powering the Zeta Identity Graph. How do you engineer distributed architectures to manage a profile store running in several terabytes while maintaining single-digit millisecond latencies for billions of monthly events? We seek an innovative Senior Software Engineer to help navigate this exact scale, driving a multi-year roadmap to optimize our existing systems and architect our next-generation platform.

You Will:

 * Design and build backend services and APIs for identity resolution, graph transparency, and platform integrations.
 * Optimize event-driven pipelines processing billions of signals.
 * Deploy and operate cloud-native services on EKS/Kubernetes using Helm.
 * Ensure absolute reliability, observability, and scalability across services and data pipelines.
 * Collaborate with engineering, product, and data teams to deliver identity solutions and mentor junior engineers.