Senior Data Engineer— Data Cloud Acceleration Team
About the team:
We’re a fast-moving group of business-savvy technologists who value outcomes over ego. We find opportunities, deliver Version 0.1 quickly, measure real impact, and iterate. Some days that means a scrappy prototype; other days it’s a deep dive to de-noise messy data so decisions are trustworthy.
What you’ll do:
• Make messy data decision-ready. Profile, cleanse, reconcile, and document datasets so insights are reliable—even when the inputs are noisy.
• Support new, “tip-of-the-spear” apps. Work with the application team to define the right data ingredients, stand up thin-slice pipelines, and validate results.
• Move fast—carefully. Turn vague asks into testable hypotheses, build the analysis or dashboard, and ship quick iterations with attention to detail.
• Guard data quality. Set up checks, audits, and alerts; track issues to closure and raise the bar on definitions, lineage, and reproducibility.
• Automate the repetitive. Use SQL/Python (plus Airflow/Prefect/dbt or similar) to turn one-off analyses into lightweight, maintainable workflows.
• Tell the story. Present findings with clear business context; highlight signal vs. noise, trade-offs, and recommended next steps.
• Partner across functions. Collaborate with product, engineering, and client teams to ensure what we build solves real problems.
• Utilize AI to improve business functions. Apart from automation, work with AI during project delivery and data mining
What sets you up for success:
None of these are hard gates—but they paint the picture.
• Analytics craft: Advanced SQL (window functions, CTEs, performance tuning); strong exploratory analysis and sanitychecking instincts.
• Self-learning and self-upgrade. Continuously learn as you go and work with the team to onboard on to new data and tools.
• Data quality mindset: Experience with data testing/validation (e.g., Great Expectations, dbt tests, custom checks), metric definitions, and documentation.
• Automation: Comfortable turning notebooks into repeatable jobs with Python; basic orchestration (Airflow) and CIfriendly habits.
• Platforms: Familiar with cloud data warehouses/lakes (Snowflake, BigQuery, Athena, Hive, Databricks—or equivalents).
• Business lens: You naturally connect analyses to KPIs, revenue, cost, and customer impact.
• Communication: Sharp clarifying questions, concise write-ups, and the ability to translate between tech and business.
You’ll thrive here if you…
• Think pragmatically. You pick the simplest solution that gets the job done today—and improve it tomorrow.
• Prototype loudly. You prefer shipping a clear v0.1 to debating a perfect v1.0.
• Sweat the details. You double-check the join keys and the denominator before the demo.
• Seek clarity from ambiguity. You turn fuzzy requests into crisp metrics and next steps.
• Share the playbook. You document as you go so others can build on your work.
90-day markers of success
• A small but solid data-quality checklist adopted on at least one key pipeline.
• One or two POC intelligence applications supported with documented data ingredients, validation steps, and dashboards.
• A repeatable automation that replaces a recurring manual analysis.
• A short wins log showing how your work improved accuracy, speed, or business outcomes
Company Summary:
Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Zeta Global is a leading AI-powered marketing technology company that enables enterprise brands to acquire, grow, and retain customers through intelligent, data-driven engagement. At the center of its innovation is the Zeta Marketing Platform (ZMP), which unifies customer data, identity, and advanced analytics to transform billions of data signals into actionable marketing intelligence and measurable business outcomes.
Publicly traded on the New York Stock Exchange (NYSE: ZETA), Zeta is redefining modern marketing with Athena by Zeta™, a superintelligent, conversational agent embedded in ZMP that personalizes the marketer’s workspace, surfaces platformgenerated insights through natural dialogue and recommends next-best actions to help brands accelerate and optimize their marketing outcomes.
Skills Required
- Advanced SQL skills including window functions and performance tuning
- Experience with data testing and validation
- Proficient in Python for data automation
- Familiarity with cloud data platforms such as Snowflake or BigQuery
- Strong analytical and exploratory analysis abilities
What the Team is Saying
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.
Gallery
Zeta Global Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
