Entity Resolution Specialist (Part-time)
Be Part of a Mission-Driven Team
At Foundry for Good, we don’t just build businesses—we build businesses that do good. Across our family of brands, we support nonprofits, trade associations, and mission-driven organizations with innovative software, impactful marketing strategies, and tools that empower positive change.
Here’s why you’ll love working with us:
Stability & Growth: We’re 100% self-funded, with no outside investors or debt, meaning long-term stability and thoughtful growth.
People-First Culture: Our 95%+ employee retention rate reflects our commitment to competitive pay, respect, and career development.
Global Collaboration: Work with talented team members in the US and the Philippines who share your drive for excellence and impact.
Mission-Focused Work: Every role here supports organizations making the world a better place.
If you’re ready to grow your career while making a difference, we’d love to hear from you!
Watch Our "Meet the Team" Video
ROLE
We are seeking an Entity Resolution Specialist to clean, match, and reconcile datasets to ensure accurate identification of organizations, contacts, and giving entities. This role is critical to maintaining reliable data for sales, marketing, and fundraising initiatives.
RESPONSIBILITIES
Analyze and resolve duplicate, inconsistent, or incomplete records across datasets
Implement and maintain entity matching, deduplication, and validation processes
Collaborate with other data team members to improve overall data quality and integrity
Document methodology, rules, and logic for entity resolution
Support integration of cleaned datasets into CRM or other organizational tools
SETUP
Part-time, 10hrs/week
Work-from-home setup
REQUIREMENTS
3+ years of professional experience, ideally within SaaS environments
Demonstrated success in previous roles, supported by academic and career achievements
Strong written and verbal communication skills, with the ability to collaborate effectively across teams
PREFERRED SKILLS
Strong SQL and data manipulation skills (e.g., Python/Pandas, Excel Power Query, or similar tools)
Familiarity with matching techniques such as fuzzy matching, probabilistic linkage, and rule-based logic
Experience working with CRMs or data warehouses
Background in data quality, normalization, and data governance best practices
ORG OVERVIEW
With 90+ Filipino team members already thriving in our company, we are excited to expand this growing team with new talent! You'll be working with our product, data, tech teams that are split between the US & Philippines.
There are a few traits unique to our business that individuals should consider before applying.
You must love the idea of giving back to the community and nonprofits. There are thousands of jobs. If being involved in the success of nonprofits is something you’re truly passionate about, this could be a great role.
You must be extremely comfortable with change. As a small growing company, decisions can be made over a weekend and fully implemented by early the next week. Whether that’s new systems, new processes, or new approaches, we look for individuals who can adapt and thrive.
You must believe that the best contributors should get better rewards. As a company, we believe in paying people based on the value they generate at the business.
You must be willing to disagree and commit. As a growing business, there will be lots of decisions that get made and changes that occur during your time at the company. Some of which you’ll agree with and some you won’t, we strongly believe that the best team members have the ability to disagree and commit (i.e., going with a decision after it has been made regardless of whether or not you agree).
You must believe the status quo is unacceptable. As a growing company and as individuals, we believe the status quo is unacceptable. Everyone should be relentless in striving to be the best version of themselves and figure out ways to create more value at the company, enhance our client's results, and grow professionally. The question should always be “How can I be better” rather than “How can expectations be adjusted”.