Data Automation Engineer

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.
• 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.

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 $110,000 - $125,000 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