The National Society of Leadership and Success

Imagine a community of students taking action toward their dreams and living happier lives. In this world, people are so fulfilled they reach out and positively contribute to the lives of others. That’s who we impact, and that’s what we are building. Want to be a part of it?

To determine whether you'd be a good fit, ask yourself…

Would you like to go to work each day knowing that you are using your talents to help others and better the world?
Are you inspired by the thought of positively impacting tens of thousands of students each year?
Are you ready to work in an organization that is rapidly growing and embraces change?
Would you like to work with people whom you respect and can learn from every day?
Do you desire to work for an organization that cares about your growth, where your own drive and interests help you create your own future?

Our guiding question is: “Are we helping the greatest number of people in the greatest possible way?" Are you inspired? Let’s change the world together.

Overview:

The Data Engineer will join a team of 100+ purpose-driven staff members in a friendly, focused, fast-paced entrepreneurial environment. The National Society of Leadership and Success (NSLS) is the largest accredited leadership honor society in the United States, with over 800 chapters and more than 2 million members.

The Data Engineer will lead the transformation of our analytics infrastructure. You'll play a critical role in migrating from a legacy Apache Hop and Redshift system to a modern Snowflake and dbt Cloud stack, establishing a single source of truth for our business stakeholders, and building maintainable pipelines that will serve as the foundation for NSLS's data platform for years to come.

This is a rare opportunity to join at an inflection point where you can make an outsized impact. You'll replace unnecessarily complex "spaghetti code" with clean, modular systems and implement best practices that will set the standard for future engineers. If you enjoy working in dbt, value readable and maintainable code, and want to build something new while leveraging modern tools, this role is for you.

Responsibilities:

In Your First 6 Months

Contribute to the Snowflake migration: Work with the broader data team to deprecate our legacy Redshift and Apache Hop infrastructure by completing the migration to Snowflake and dbt Cloud
Build production-grade dbt pipelines: Develop and maintain SQL transformations in dbt that power analytics for business stakeholders across the organization
Establish data architecture: Refine and maintain our medallion architecture (bronze, silver, and gold layers) to create clear separation of concerns and a single source of truth
Collaborate with the data team: Partner with our AWS Engineer, Analytics Engineer, and Business Analyst in a sprint-based workflow with code reviews and regular standups

Ongoing Responsibilities

Maintain dbt transformations (60-70% of role): Own approximately 15-20 core models and summary views that drive business reporting, ensuring they're performant, well-documented, and easy to maintain
Build new data pipelines: Ingest data from APIs and new sources as business needs evolve
Enable reverse ETL: Develop and manage batch processes to send transformed data to downstream services like HubSpot using tools like Hightouch
Monitor data quality: Implement testing and alerting to catch issues before they impact stakeholders
Contribute to technical standards: Help establish and maintain best practices for code quality, documentation, and data modeling

Qualifications:

2-5 years of experience as a Data Engineer, Analytics Engineer, or similar role
Expert SQL skills: You write advanced, readable SQL including CTEs, window functions, and query optimization techniques
dbt proficiency: You've built and maintained production dbt projects and understand modeling best practices (this is critical for the role)
Python fundamentals: Comfortable working with dataframes, querying APIs, and writing scripts for data processing
Modern data stack familiarity: Experience with Snowflake, AWS, and orchestration tools like dbt Cloud or Airflow
Code craftsmanship: You write clean, modular, well-documented code that others can easily understand and maintain
AI-assisted development: Proficient with AI coding tools (Claude Code, GitHub Copilot, Cursor, or similar) to accelerate development, debug efficiently, and learn new technologies quickly

Nice to Have

Experience with reverse ETL tools (Hightouch, Census, etc.)
Familiarity with Fivetran or similar ingestion platforms
Background in batch processing and API integrations
Experience with Hex, PostHog, or similar analytics/CDP tools

Who You Are

Quality-focused: You care deeply about writing maintainable code and establishing good technical hygiene
Collaborative: You thrive in code reviews, give and receive feedback well, and enjoy working closely with a small team
Resourceful: You're comfortable leveraging AI and other tools to learn quickly and solve problems independently
AI-native developer: You understand how to effectively use AI assistants as force multipliers (whether generating boilerplate code, exploring documentation, debugging issues, or rapidly prototyping solutions) while maintaining code quality and understanding
Business-minded: You understand (or want to learn) how your technical work supports business objectives and can communicate with non-technical stakeholders when needed
Self-directed: You work well with autonomy in a sprint-based environment where you commit to deliverables and own your work

How We Work

Sprint-based workflow: Bi-weekly sprints with planning, standups twice per week, and regular retrospectives
Weekly 1:1s: Regular check-ins with the Head of Data for feedback, support, and career growth
Collaborative code review: Your work will be reviewed by senior engineers on the team to ensure quality and knowledge sharing
Work-life balance: Standard business hours (9-5 or similar), no on-call or off-hours expectations
AI-assisted development: We actively encourage the use of AI coding assistants like Claude Code to write better code faster, accelerate onboarding to new codebases, and increase overall engineering velocity

Tech Stack

Data Warehouse: Snowflake (migrating from Redshift)
Transformation: dbt Cloud
Orchestration: dbt Cloud (replacing Apache Hop)
Visualization: Hex
Customer Data Platform: PostHog
Infrastructure: AWS
Source Systems: HubSpot, Drupal, Symfony, Shopify (100+ tables, <1TB total)

The National Society of Leadership and Success is an equal opportunity employer committed to diversity, equality, and inclusion

Visit nsls.org to learn more about our organization

The National Society of Leadership and Success jobs

Data Engineer