Demo

Engineering Team Lead

EverTrue
Indianapolis, IN Full Time
POSTED ON 12/11/2025 CLOSED ON 1/10/2026

What are the responsibilities and job description for the Engineering Team Lead position at EverTrue?

Who we are:

EverTrue is the leading advancement intelligence and donor engagement platform, empowering educational institutions and non-profit organizations to build stronger relationships and achieve outstanding fundraising results. Our platform continuously evolves, integrating innovative solutions to help advancement professionals effectively identify, prioritize, and manage prospects, engage supporters, and track progress. Hundreds of organizations rely on EverTrue to grow giving. We are a fun, smart, mission-driven team passionate about the work we do.

What truly drives us? It's our mission: to equip fundraising teams with the insights and tools to turn every donor interaction into a lasting relationship—leading to stronger connections and greater giving. And our vision? It's to create a world where every fundraiser has the tools to engage, retain, and grow generosity at every level, ensuring no donor is overlooked. When you join EverTrue, you're not just taking a job; you're becoming part of a movement to empower fundraisers and make a real difference in the world.

We believe in your potential. We know that no candidate perfectly matches every qualification. If you're excited about this role and meet most of our requirements, please apply! We're eager to support your growth and development within our team.

EverTrue is an equal opportunity employer. We're deeply committed to building a workplace that celebrates diversity, equity, and inclusion for all, ensuring every applicant and employee is treated fairly. We embrace DEI because we know it enhances engagement, satisfaction, and partnerships, making us all stronger together.

Who you are:

  • (Required) 7 years in data engineering, data architecture, or ML engineering.
  • (Required) Strong experience with Snowflake, Python, SQL, and orchestration tools (Airflow, Prefect).
  • (Required) Experience designing scalable schemas, ETL/ELT pipelines, and optimizing for performance and cost.
  • (Required) Experience deploying and supporting production ML models (Scikit-learn, PyTorch, TensorFlow).
  • Familiar with MLOps practices—model versioning, CI/CD, monitoring, and feature stores.
  • Experience automating data workflows and building data quality/observability into pipelines.
  • Experience integrating ML outputs into SaaS products.
  • Helpful but not required: Experience with Generative AI APIs, vector databases, or LLM fine-tuning.
  • You think in systems, communicate clearly across technical and non-technical teams, and lead with clarity and mentorship.
  • As an added bonus, you are excited about the Education/Non-profit Sector.

What you'll do:

  • Set the technical direction for data systems and AI to support EverTrue's product strategy.
  • Own the design and evolution of Snowflake schemas, ETL pipelines, data governance, and automation patterns.
  • Develop and deploy ML pipelines with strong reproducibility, performance tracking, and operational reliability.
  • Drive experimentation for models that improve donor scoring, matching, and profile intelligence.
  • Collaborate with Product, Engineering, DevOps/SRE, and Security to define priorities, manage infrastructure, and integrate ML into production.
  • Mentor ML engineers, data engineers, and analysts on best practices, architecture decisions, and high-quality execution.

How you'll contribute to the team:

  • Champion our data and AI foundation by defining architectural standards, improving reliability, and scaling ML capabilities.
  • Provide hands-on technical leadership—supporting engineers through pairing, reviews, and guidance that builds confidence and velocity.
  • Advance donor intelligence by testing new models and contributing to customer-facing features that use ML.
  • Improve system health through proactive monitoring, observability, automation, and cost optimization across Snowflake and pipelines.
  • Foster a learning culture through documentation, shared patterns, and raising the team's skillset in data engineering, AI, and MLOps..

Why you'll love to join our team:

We offer a comprehensive package designed to support your success, growth, and well-being.

  • Compensation and Core Benefits:
    • A base salary range of $150K - $160K.
    • A 2.5% bonus plan based on company performance.
  • We also provide robust benefits to keep you healthy and secure:
    • We cover 80% of your premium for medical, dental, and vision insurance.
    • We offer a 401k match of up to 3% to support your financial future.
Happiness & Well-Being:

Our comprehensive employee benefits and perks program provides:

  • A remote-first environment for flexible work.
  • Generous paid time off throughout the year.
  • Investment in your professional growth and development.
  • Opportunities to connect with colleagues both in-person and virtually.
  • The unique chance to contribute to the non-profits and educational institutions you care about, aligning your work with your passions.

Salary : $150,000 - $160,000

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