Lead Data Engineer – Healthcare Data, Audience Applications

🕒 July 31

🇺🇸 United States – Remote

💵 $180k - $200k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

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Zeta Global

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

💼 Consulting

📦 Logistics

✈️ Travel

💰 Post-IPO Debt on 2024-09

Consulting • Logistics • Travel

Zeta Global is an AI-powered marketing cloud that leverages proprietary AI and trillions of consumer signals to acquire, grow, and retain customers more efficiently. The Zeta Marketing Platform (ZMP) offers a comprehensive suite of tools, including data management, customer data platforms (CDP), email service providers (ESP), and digital signal processing (DSP), to create individualized customer experiences and improve marketing outcomes. Zeta emphasizes omnichannel marketing, customer intelligence, and data-driven marketing strategies, partnering with brands, agencies, and publishers worldwide to accelerate brand growth and engagement. Their platform is designed to tackle complex marketing challenges with solutions for customer acquisition, growth, and retention through predictive AI and actionable consumer data.

📋 Description

• Define and maintain the healthcare data architecture, interface contracts, ADRs, schemas, and staged delivery plan. • Lead ingestion and transformation patterns across Snowflake, Athena/S3, MySQL, and approved healthcare stores without duplicating shared platform capabilities. • Partner with Data Cloud on source certification, partner-feed contracts, identity validation, raw-zone ownership, and data availability SLAs. • Design healthcare base/vertical models and published/governed views, with row/member-level controls, account scoping, masking, and backward-compatible versioning. • Set SLOs and operational readiness criteria; ensure dashboards, alerts, runbooks, rollback paths, and incident ownership are in place before release. • Lead design and code reviews, mentor the Senior Data Engineer, and coordinate dependencies across the pod. • Support compliance evidence, annual audits, US data-residency controls, and stoplight decisions: Start, Stop, or Requires CERT. • Apply privacy-by-design principles across all systems handling PHI/PII • Partner with Product and Data teams to translate healthcare requirements into scalable architectures • Drive engineering best practices across testing, CI/CD, code quality, and operational excellence

🎯 Requirements

• 8–10 years of software engineering experience with increasing technical ownership • Expert SQL and strong Python, Java; experience with batch and streaming patterns, orchestration, testing, and schema evolution. • Proven track record of building and scaling data-intensive or distributed systems • Experience working in regulated environments (healthcare strongly preferred) • Strong system design and architecture skills • Ability to lead technically while remaining hands-on in implementation • Strong collaboration skills across engineering, product, and data teams

🏖️ Benefits

• Unlimited PTO • Excellent medical, dental, and vision coverage • Employee Equity • Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!