Data Engineer

GoodUnited is a fundraising software that helps nonprofits harness the power of Social Networks, offering a solution that simplifies lead generation, automates supporter engagement, and maximizes fundraising revenue.

Location: Medellin, Colombia (Remote)

Position Type: Full time  

GoodUnited is a business-to-business (B2B) Software-as-a-Service (SaaS) company headquartered out of Charleston, South Carolina. GoodUntied serves nonprofit NGOs and has built the first fundraising platform for social networks. 

Giving is a trillion-dollar industry. GoodUntied is reimagining how and where people give for the world's most impactful organizations and causes.

As a Data Engineer at GoodUnited, you will be a key player in developing and optimizing our cutting-edge software products. Your deep knowledge of React, NextJS, NodeJS, Postgres, Snowflake, and AWS will be vital in creating robust, scalable, and efficient applications that empower nonprofits in their digital engagement and fundraising efforts.

What does a Data Engineer at GoodUnited do? 

As a Data Engineer at GoodUnited, you will play a vital role in supporting the Data Architect and Product Delivery team by helping implement and maintain our data infrastructure. You will work closely with various departments, executing on data quality, integration, and governance strategies that are designed by senior data leadership. This is an excellent opportunity for someone with strong technical skills who is eager to deepen their experience in a fast-paced, data-driven environment.

Key Responsibilities:

• Data Pipeline Development: Build and maintain robust, scalable, and reliable ETL pipelines using tools like Matillion, Apache AirFlow and Python, under the guidance of the Data Architect.
• Data Quality Execution: Implement and monitor data validation rules and automated data checks as defined in the data quality framework.
• Data Integration: Assist in the integration of new data sources and support cross-team data initiatives in collaboration with Engineering, Product, and Compliance teams.
• Monitoring and Support: Help set up alerts, dashboards, and automated checks to monitor data pipelines and support auditing activities.
• Documentation: Maintain clear and up-to-date documentation for data workflows and tools to support team collaboration and continuity.

What experience and skills does a Data Engineer need in order to be successful? 

• Education: Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience: 2–4 years in a Data Engineering or related role.
• Languages: Proficiency in Python and SQL.
• Tools & Platforms:
  • Experience with ETL tools such as Matillion, Apache AirFlow, or equivalent.
  • Experience with data warehouses like Snowflake or Redshift
  • Experience with DataBase Engines such as PostgreSQL.
  • Familiarity with AWS services related to data (S3, RDS, etc.)
• Data Fundamentals: Solid understanding of data modeling, data transformation, and data pipeline orchestration.
• Communication: Strong communication and collaboration skills; fluency in English is required.

Nice to Have

• Exposure to data quality frameworks or tools (e.g., Talend, Great Expectations).
• Basic understanding of data governance concepts.
• Experience or interest in AI/ML modeling, especially in Python.
• Familiarity with version control systems (e.g., GitHub).

What We Offer:

• A dynamic and inclusive work environment focused on meaningful impact.
• Competitive compensation and benefits.
• Participation in our equity program.
• Opportunities for professional growth and mentorship.
• A supportive and collaborative remote-first culture.

Application Process:

Interested candidates are invited to submit a resume and a cover letter outlining their qualifications and experience.

We are an equal-opportunity employer and value diversity in our team. We encourage applications from all qualified individuals, regardless of their background.