Senior Software Engineer

The role

You will build and maintain data platforms and products that manage all inbound and outbound data flows. The work includes Python microservices, high-throughput ETL pipelines, and reusable connector frameworks for ad tech and enterprise systems.

What you will do

• Design, implement, and operate Python-based microservices and high-throughput ETL pipelines that meet enterprise SLAs, RPO/RTO targets, and data quality standards
• Embed observability by default through structured logging, metrics, and distributed tracing; define SLOs, error budgets, and incident response runbooks
• Conduct design and code reviews, performance and cost optimizations, and raise the bar on engineering excellence
• Design and evolve reusable connector frameworks for inbound and outbound integrations with ad tech platforms such as Facebook Ads and Google Ads
• Collaborate with Product, SecOps, and Platform teams to deliver scalable, cost-efficient solutions across Kubernetes, message buses, and workflow orchestrators

Required qualifications

• 5+ years in backend or data engineering building Python services and ETL pipelines for enterprise environments with strict uptime, compliance, and performance requirements
• Expert Python skills, including async I/O, concurrency, service frameworks, testing strategies, and interface contracts
• Proven microservices experience with containers and orchestration (Docker, Kubernetes) and event-driven patterns using message brokers or streaming platforms
• Robust SQL skills integrating with analytics warehouses such as Snowflake, including cost and performance tuning
• Production-grade API integrations, including rate-limit handling, retries, backoff policies, and change-data capture or incremental sync designs
• Deep observability practice using metrics, logs, and traces, with experience implementing OpenTelemetry instrumentation and alerting workflows

Nice to have

• Experience leveraging Apache Spark for large-scale distributed data workloads
• Strong understanding of modern Lakehouse architectures that unify data lakes and warehouses
• Exposure to serverless data patterns such as AWS Lambda and Step Functions

About the company

Zeta Global is a NYSE-listed, AI-powered marketing technology company founded in 2007. It helps enterprise brands acquire, grow, and retain customers using its Zeta Marketing Platform and proprietary data.