Education
Benefits
Qualifications
Skills

What You'll Do

Build the backend

  • Design, develop, and deploy scalable back-end services, APIs, and database architectures.
  • Take end-to-end ownership of technical projects, from technical design to production release.
  • Write clean, maintainable, well-tested code, and troubleshoot and debug across the stack.
  • Optimize performance, scalability, and security, and implement robust logging and observability.

Engineer the data

  • Build and maintain reliable data pipelines, from raw ingestion to reporting.
  • Design and optimize data infrastructure and warehousing solutions.
  • Ensure data quality, governance, and consistency across systems.
  • Implement logging and instrumentation that make our products measurable.

Drive insight and metrics

  • Partner with leadership and product to define, set, and track our goal metrics.
  • Build dashboards and visualizations accessible to both technical and non-technical stakeholders.
  • Design experiments and analyze A/B tests to optimize features and experiences.
  • Build predictive models and recommendation systems that personalize and strengthen user journeys.
  • Translate complex analysis into clear, practical recommendations that inform decisions.

What You Bring

  • 3+ years in back-end or full-stack engineering, with meaningful data science or analytics experience (or the reverse).
  • Strong proficiency in a server-side language (Python preferred; Node.js, Ruby, or Java also welcome) and building RESTful APIs.
  • Strong SQL, plus experience working with both SQL and NoSQL databases.
  • Strong ability to set goal metrics for a team and track progress over time.
  • Proven experience building and maintaining data pipelines.
  • Experience defining and tracking metrics, plus logging and instrumentation.
  • Experience setting up and running experiments to measure impact.
  • Data visualization skills and the ability to communicate analysis in a clear, compelling way.
  • A self-starter who thrives with autonomy and strong problem-solving skills and intellectual curiosity.
  • Excellent cross-functional collaboration and communication skills.
  • A bachelor's degree in Computer Science, Data Science, Data Engineering, or a related field, or equivalent practical experience.
  • A deep commitment to Lean In's mission to inspire and equip women to lead.
  • Alignment with the Sandberg Bernthal Family Foundation's initiatives, including building resilience and advancing equality.
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Confirmed 11 hours ago. Posted 30+ days ago.

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