Back End Developer

Sandberg Goldberg Bernthal Family Foundation

San Francisco (CA)

On-site

USD 130,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision insurance
401(k) with employer match
Generous paid time off

Job summary

Lean In & The Sandberg Goldberg Bernthal Family Foundation is hiring a Backend Engineer to architect and maintain backend services and data pipelines powering our platforms. You will turn data into metrics and insights to guide strategy in a fast-growing environment.

You will own technical projects end-to-end, work across data engineering, engineering, and data science, and help scale systems to serve millions of users while aligning with Lean In's mission.

Qualifications

  • 3+ years in back-end or full-stack engineering with data analytics experience.
  • Strong proficiency in a server-side language (Python preferred; others welcome) and RESTful APIs.
  • Strong SQL and NoSQL experience across systems.
  • Experience building and maintaining data pipelines.
  • Ability to define and track metrics and instrumentation.
  • Experience running experiments to measure impact.
  • Data visualization and communicating analysis clearly.
  • Bachelor's in Computer Science, Data Science, Data Engineering, or related field, or equivalent experience.
  • Commitment to Lean In's mission and alignment with Foundation initiatives.

Responsibilities

  • Design, develop, and deploy scalable back-end services, APIs, and database architectures.
  • Take end-to-end ownership of technical projects from design to production release.
  • Write clean, maintainable, well-tested code and troubleshoot across the stack.
  • Optimize performance, scalability, security, and observability.
  • Build and maintain reliable data pipelines from ingestion to reporting.
  • Design and optimize data infrastructure and warehousing.
  • Ensure data quality and governance across systems.
  • Implement logging and instrumentation for measurability.
  • Partner with leadership to define and track goal metrics.
  • Build dashboards and visualizations for technical and non-technical stakeholders.
  • Design experiments and analyze A/B tests to optimize features.
  • Build predictive models and recommendations to personalize user journeys.
  • Translate analysis into practical recommendations for decisions.

Skills

Python
RESTful APIs
SQL
NoSQL
Data pipelines
Metrics & dashboards
Data visualization
Problem solving
Cross-functional collaboration

Education

Bachelors in CS/Data Science

Tools

Node.js
Ruby
Java

Job description

About Lean In & The Sandberg Goldberg Bernthal Family Foundation

The Sandberg Goldberg Bernthal Family Foundation (SGBFF) works to build a more equal and resilient world. We bring people together to support each other through four initiatives: LeanIn.Org, LeanInGirls.Org, OptionB.Org, and the Dave Goldberg Scholarship Program.

Through our community, research-based content, and programs, we help women and allies build the skills, confidence, and networks they need to reach their full potential. We believe a more equal world is possible - and that it will take us working together to create it. While the majority of your work will focus on Lean In, this role offers the opportunity to drive impact across multiple mission-driven initiatives.

The Role:

We're hiring a Backend Engineer who will architect and maintain the back-end services and data pipelines that power our platforms - and you'll turn the data flowing through them into the metrics and analysis that guide our decisions. Engineer, data engineer, and data scientist all in one seat. This is a unique, high-growth opportunity. As AI reshapes how software and data work together, the people who can both build robust infrastructure and reason rigorously about what the data says are extraordinarily valuable. You'll have real ownership, direct influence on strategy through the metrics you define, and room to grow as our data and platforms scale to serve millions.

What You Will 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.
What We Will Offer You:

Base Salary: $130,000 – $200,000, based on experience, skills, and qualifications

Performance Bonus: Up to 15% of base salary annually

Benefits: Medical, dental, and vision insurance; 401(k) with a 4% employer match; generous paid time off; and additional benefits designed to support well-being and long-term success

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