Staff Data Engineer, Analytics Engineering
Buenos Aires, Argentina
- Pay
- Pay not listed
- Work setting
HybridLocation limits apply — work setting source
Join us! The GoFundMe team is searching for our next Staff Data Engineer to join our Analytics Engineering squad within the Data team. In this role, you’ll help make our data reliable, high-performing, and easy to use for analysts, scientists, engineers and business teams. You’ll also explore using AI to assist our team in building and maintaining data models, ensuring we move fast without sacrificing quality. You’ll have a unique chance to own the normalized layer, improve how we monitor and test our models, and shape the way our analytics work at the company. This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina. The Job
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingOwn and improve the normalized data layer for consistency and performance
Build automated tests and monitoring to catch issues before production
Coordinate with engineers, analysts and scientists on model design and quality checks
Improve warehouse performance and cost efficiency
Explore AI uses for model design, code suggestions, review and anomaly detection
From the employer’s posting
Own and improve our normalized data layer, ensuring consistency, scalability, and high performance.
Build automated tests and monitoring to catch issues before they reach production.
coordinating on model design, testing, and quality checks
Contribute to warehouse performance and cost optimization
Explore ways to use AI to help the team design models, generate code suggestions, review changes, and detect anomalies.
What you’ll bring
All qualificationsCore experience
- 8+ years as a data engineer building data warehouse alternatives
- Strong SQL and Python skills
- Experience building and orchestrating data pipelines with ETL tools
- Experience with data observability, automated testing and monitoring
- Fluent English, written and spoken
Qualification wording
8+ years as a data engineer crafting, developing and maintaining business data warehouse alternatives
Strong SQL and python skills.
Proficiency with building and orchestrating data pipelines using ETL/data preparation tools.
Experience with data observability, automated testing, and monitoring frameworks.
Fluent in English (written and spoken).
Tools in this posting
- Python
- SQL
- Databricks
- dbt
- Looker
- Snowflake
- Tableau
Source — Tool mentions in context
- Proficiency with building and orchestrating data pipelines using ETL/data preparation tools. - Strong SQL and python skills. - Experience with data observability, automated testing, and monitoring frameworks.
- Experience with AI tools like GitHub Copilot, OpenAI API, or LangChain to assist engineering workflows. - Experience working with Snowflake or Databricks a plus Why you’ll love it here
- Familiarity with BI tools (Looker, Hex, Mode, Tableau) and semantic layers. - DBT experience. Preferred
- Fluent in English (written and spoken). - Familiarity with BI tools (Looker, Hex, Mode, Tableau) and semantic layers. - DBT experience.
- Experience with data observability, automated testing, and monitoring frameworks. - Comfortable with Snowflake performance tuning and managing large datasets. - Collaborative and proactive — you like helping teams move faster and more reliably.
Posting record
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- Live
- First seen by us
- Aug 19, 2026 · 72 days ago
- Recorded sightings
- 37
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
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Job description
Want to help us help others? We’re hiring!
GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.
Join us! The GoFundMe team is searching for our next Staff Data Engineer to join our Analytics Engineering squad within the Data team. In this role, you’ll help make our data reliable, high-performing, and easy to use for analysts, scientists, engineers and business teams. You’ll also explore using AI to assist our team in building and maintaining data models, ensuring we move fast without sacrificing quality. You’ll have a unique chance to own the normalized layer, improve how we monitor and test our models, and shape the way our analytics work at the company.
This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.
The Job
- Own and improve our normalized data layer, ensuring consistency, scalability, and high performance.
- Build automated tests and monitoring to catch issues before they reach production.
- Work closely with engineers, analysts and scientists to ensure data pipelines and models produce accurate, consistent, and well-structured data, coordinating on model design, testing, and quality checks to support reliable reporting and analytics.
- Contribute to warehouse performance and cost optimization, helping ensure queries are fast, reliable and efficient.
- Explore ways to use AI to help the team design models, generate code suggestions, review changes, and detect anomalies.
- Maintain clear documentation and standards so everyone on the team can move fast with confidence.
You
- 8+ years as a data engineer crafting, developing and maintaining business data warehouse alternatives consisting of structured and unstructured data.
- Proficiency with building and orchestrating data pipelines using ETL/data preparation tools.
- Strong SQL and python skills.
- Experience with data observability, automated testing, and monitoring frameworks.
- Comfortable with Snowflake performance tuning and managing large datasets.
- Collaborative and proactive — you like helping teams move faster and more reliably.
- Fluent in English (written and spoken).
- Familiarity with BI tools (Looker, Hex, Mode, Tableau) and semantic layers.
- DBT experience.
Preferred
- Experience with AI tools like GitHub Copilot, OpenAI API, or LangChain to assist engineering workflows.
- Experience working with Snowflake or Databricks a plus
Why you’ll love it here
- Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
- Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
- Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
- Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
- Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
- Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
- Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
- Community Engagement: Make a difference through our volunteering and Gives Back programs.
We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!
GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.
If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.
Learn more about GoFundMe:
We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘24 annual report.
Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.
For recent company news and announcements, visit our Newsroom.
Source details
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Buenos Aires, Argentina
Join us! The GoFundMe team is searching for our next Staff Data Engineer to join our Analytics Engineering squad within the Data team. In this role, you’ll help make our data reliable, high-performing, and easy to use for analysts, scientists, engineers and business teams. You’ll also explore using AI to assist our team in building and maintaining data models, ensuring we move fast without sacrificing quality. You’ll have a unique chance to own the normalized layer, improve how we monitor and test our models, and shape the way our analytics work at the company. This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina. The Job
More source context
- Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits. - Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being. - Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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