Data Automation Engineer

Zeta Global is an AI-Powered Marketing Cloud that simplifies marketing through advanced technology. They are seeking a Data Automation Engineer to identify automation opportunities, design and build automation solutions, and drive measurable outcomes across cloud platforms and data stacks.

Responsibilities:

• Identify and prioritize automation opportunities: Partner with stakeholders to understand workflows, gather requirements, and continuously prioritize automation work based on impact (time saved, cost reduced, reliability improved)
• Design end-to-end automation: Select the right tools and patterns - serverless jobs, schedulers, cloud-native services, scripts, or AI-assisted workflows - and build solutions from first trigger to final outcome
• Build across the modern data stack: Create and maintain automations spanning AWS, Azure, and Snowflake, integrating with APIs, data pipelines, and internal services
• Engineer production-ready jobs: Write clean, reliable automation code using Python, SQL, C#, and TypeScript/JavaScript while handling scheduling, retries, logging, alerting, and failure modes
• Leverage AI where it makes sense: Build automations both with and without AI integrations - using AI to accelerate classification, enrichment, validation, or decision-making when it delivers clear benefits
• Drive measurable outcomes: Ensure every automation delivers value: track usage, validate impact, tune performance, and iterate or retire workflows based on real results
• Hunt for efficiencies: Proactively spot manual steps, brittle processes, or expensive workflows and replace them with faster, cheaper, more reliable automation
• Raise the bar for everyone: Document patterns, share reusable components, and help teams think more systematically about automation, creating systems instead of one-off scripts

Requirements:

• Experience building automations across cloud platforms (AWS and/or Azure) and modern data platforms like Snowflake
• Strong hands-on development experience with Python and SQL, with some experience in another language such as JavaScript or C#
• Experience scheduling and orchestrating jobs (e.g., serverless functions, Airflow-like tools, cron-based systems, event-driven workflows)
• Proven examples of automations that reduced cost, saved time, improved reliability, or unlocked new capabilities
• Experience integrating APIs, internal services, and third-party tools
• Familiarity with AI-assisted automation (LLMs, classification, extraction, decision support), with a pragmatic approach to when not to use AI
• Comfortable working end-to-end: requirements - design – build - deploy - measure