Compensation

The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. 

Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and in addition to benefits this role may be eligible for discretionary bonuses/incentives, and equity. 

US Base Salary Range: $75,000 - $140,000

Please note that the compensation range and benefits specified in this job posting is applicable to candidates based in the United States. For international applicants, actual salary offers and benefit plans may vary based on the local market compensation standards and will be determined in accordance with regional considerations, including but not limited to applicable laws, cost of living, and industry norms.  

About Us

Bonterra exists to propel every doer of good to their peak impact. We measure that impact against our vision to increase the giving rate as a percentage of GDP from 2% to 3% by 2033. We know that this goal is lofty, but we are confident that the right technology and expertise will strengthen trust in the sector, allowing the social good industry to accelerate growth and reach peak impact. Bonterra's differentiated, end-to-end solutions collectively support a unique network of over 20,000 customers, including over 16,000 nonprofit organizations and over 50 percent of Fortune 100 companies. Learn more at bonterratech.com.

About the Role

Who You Are
Are you an innovative senior data engineer who thrives on building AI-first, cloud-native data platforms? Do you have deep expertise with ubiquitous data tools like Snowflake, DBT, AWS Glue, and a passion for leveraging advanced features like Snowpipe to deliver seamless data integrations? Are you excited to use AI-assisted development tools to accelerate delivery, while creating scalable data solutions that empower nonprofits to make data-driven impact in their communities?

At Bonterra, we are seeking a highly skilled Senior Data Engineer who combines strong data modeling expertise with mastery of the modern data stack. Your work will directly shape our analytics and insights product, ensuring our nonprofit partners have reliable, well-modeled, and AI-enhanced data at their fingertips.

What You Will Do

• Lead & Design Scalable Data Models: Spearhead the creation of scalable, efficient, and accurate data models using Medallion architecture, Kimball, or similar approaches, ensuring they meet the diverse reporting needs of nonprofit organizations.

• Snowflake-Centered Engineering: Build advanced solutions leveraging Snowflake features such as Snowpipe for streaming and batch ingestion, tasks, and streams to automate and optimize data pipelines.

• Build & Maintain ELT Pipelines: Develop robust, scalable, reusable, and self-correcting idempotent data pipelines using DBT, AWS Glue, and Snowflake as the primary stack, with orchestration through Airflow or Databricks as needed.

• Develop DBT Macros: Write and maintain DBT macros using Jinja SQL, driving consistency, reusability, and maintainability across transformations.

• Apply AI Daily: Use AI-assisted coding tools (Cursor, Copilot, Claude Code, etc.) as part of your standard workflow to accelerate development, testing, and documentation.

• Strong AI Foundation: Apply machine learning and AI techniques to optimize pipelines, improve data quality, and unlock advanced analytics capabilities.

• Mentor and Guide: Share knowledge, promote best practices in Snowflake and DBT, and champion AI-first engineering across the team.

• Drive Continuous Innovation: Explore emerging Snowflake capabilities, AI-driven engineering practices, and next-gen BI approaches to keep our platform best-in-class.

Requirements

Key Must-Haves

• AI Competency: Proven experience applying AI and machine learning techniques to real-world data engineering challenges.

• AI-First Workflow: Daily use of AI-assisted coding tools (Cursor, Copilot, Claude Code, etc.) to improve speed, quality, and maintainability.

• Python Proficiency: Strong expertise in Python for data transformation, automation, and pipeline development.

• DBT/Jinja SQL Expertise: Proven ability to write, exten