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 makues that sit at the top of their agendas - and often become front-page news.If you join our practice, you will work with financially secure, under-performing and distressed companies across a variety of urgent, high impact situations.
Our elite professionals are recognized experts in their respective fields, bringing to bear their skills and experience to craft measurable, improved outcomes for our clients.In this role, you will have the chance to create ETL workflows, scripts, statistical models, and visualizations while taking responsibility for the design, build, test, execution, and support of the data migration, cleansing, wrangling, etc.
The ideal candidate will have a detailed understanding of the underlying data and data structures of multiple systems to allow in depth analysis of existing and potential data insights.We are open to hire different seniority levels.Data ModelingSelecting features, building and optimizing classifiers using machine learning techniquesExecute machine learning projects using state‐of‐the‐art methodsExtending company's data with third party sources of information when neededCreating automated anomaly detection systems and constant tracking of its performanceData ManipulationCollect data from a wide variety of corporate databases, including various SQL databases -Microsoft, Redshift, Teradata, Oracle, Netezza, etc.-, Access, Excel, plain or formatted text files, OLAP cubes –Microsoft, Oracle-, and no‐SQL databases.Parse data out of poorly structured XML and invalid HTML documentsUse regular expressions to extract information from un‐structured text documentsDeal with missing data through multiple‐imputation or the use of advanced modelsImplement automated data ingestion and transformation processes.Data OrganizationBuild effective, reliable, and robust ETL processes that govern the data ingestion flow.Design database models, consistent table structures,



and advanced dimensional schemas that carry out data quality and consistency standards.Apply modeling approaches, business intelligence patterns, and data management techniques.Data AnalysisReview and analyze legacy code/scripts to understand data processing logic and business rules.Apply statistical learning toolsets to build predictive models that enrich, expand, and allow a deeper understanding of data analyses and solutions.Data VisualizationUse interactive data visualization tools, such as Tableau and Power BI to present results in a compelling manner.Tell a convincing story to C-level executives using visual charts and dashboardsPresent complicated technical findings to a non-technical audience.Business insightCollaborate with clients and stakeholders, building relationships, influencing, and providing advice to key decision‐makers.Prepare client‐ready documents and compelling presentation materials.What you'll needBachelor's degree with concentration in Computer Science, Engineering or another quantitative fieldData-oriented personalityMore than 1 year of related experience.Knowledge of any of the following languages: Python, JavaScript, C#, or similarFamiliarity with at least one ETL tool (such as Alteryx, KNIME, SSIS, Pentaho, or DataStage).
Comfort with big data architectures, both on cloud platforms like AWS/Azure/others and on‐premise.SQL skills, such as CTEs and windows functions, to work with extensive amounts of data at various aggregation levels.Ability to apply statistical learning languages to build predictive models that enrich, expand, and allow deeper understanding of data analyses and solutions.Distributed systems knowledge, specially of HDFS and the Hadoop ecosystem.Strong verbal and written communication skills (in English).




Proficiency in other languages is a plus.Ability to synthesize the requests received from team members at client sites.Capability to be a creative, innovative problem solver —but using simple ideasMotivated to discover and learn new analytical techniques and software tools to improve the quality of our workAuthorized to work in applicable country and travel freely inties: 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 program.
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 ******.
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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 '25 annual report .
For recent company news and announcements, visit our Newsroom .
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📌 Staff Software Engineer (Payments) (Buenos Aires)
🏢 GoFundMe
📍 Buenos Aires