Jane - Staff Data Engineer
Requirements
• A University Degree in Computer Science or a related STEM field plus hands-on experience as a data engineer or similar, including time operating at a staff level or higher — depth and judgment matter more here than a specific number of years. You've built and maintained event collection, customer data infrastructure, or data pipeline systems in production. You've inherited and rationalized independently built pipelines, not just built from scratch. • You're comfortable leading and owning both the strategy as well as the execution: making the architectural calls, being the person other teams and leadership look to for direction on this domain, set standards that teams actually follow. You influence and drive strategy clearly across engineering, product, BI, marketing, and leadership. • Experience evaluating or implementing Customer Data Platforms including migrating or consolidating existing tooling. Greenfield-only experience is not sufficient for this role. • Experience with privacy-compliant tracking and consent management. You've worked with consent management platforms, understand how consent state affects data collection, and have designed instrumentation that holds up within those constraints, ideally including server-side tagging or tag management systems. Experience in healthcare or other regulated environments is a plus. • Strong opinions (loosely held) on schema design, event taxonomy, and data quality. You've seen what happens when instrumentation is an afterthought, and you care about getting it right. • Experience with identity resolution, attribution, or cross-domain tracking. You understand the complexities of stitching a user journey across systems and have ideas about how to make it less hard. • Proficiency in JavaScript or TypeScript and SQL (required). Python is a strong asset. Familiarity with Snowflake, Looker, or similar warehouse and BI tooling is helpful; you won't own that layer, but you'll need a shared vocabulary with the teams that do. • Comfort working with AI tools as part of your day-to-day workflow. We're a team that embraces AI to work smarter, and we expect the same from the people we hire. • If you don’t meet every single qualification but are excited about this role, we’d still love to hear from you.
Responsibilities
• If you don’t meet every single qualification but are excited about this role, we’d still love to hear from you.
Benefits
• At Jane, we’re committed to paying fairly, clearly, and above all, paying for growth. This role has an annual salary range of $152,000 to $237,500. While that is a large range, it is intentional. It reflects the full growth journey someone might take in the role, from developing skills early on to becoming highly proficient and ultimately achieving excellence. • $152,000 to $237,500 • Most new hires join at the accomplished stage, which for this role represents an annual salary of $180,500. A starting salary below this typically indicates a candidate with strong potential who is still developing key skills. Salaries above this usually apply to existing team members who have made a significant impact and bring deep Jane-specific knowledge. • accomplished • $180,500 • We believe in paying for growth. You’ll have regular career development conversations with your manager and your compensation will grow as you gain experience and contribute meaningfully to our mission. • Paying clearly is one of our compensation fundamentals. Watch this short video to learn how our salary bands are set. You’re also encouraged to ask questions about compensation at any point during the interview process. • We also offer a comprehensive benefits package, You can learn more about it here! • Jane takes job scams and candidate fraud seriously. Jane will only contact you from an @jane.app email address. We'll never contact you from a personal email, ask for payment, or request purchases during the hiring process. If something doesn't seem right, please reach out to us at [email protected] before sharing any personal information. • Jane takes job scams and candidate fraud seriously.
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