Senior Analytics Engineer

Want to help us help others Were hiring!

GoFundMe is the worlds 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 causesfor 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 Senior Analytics Engineer to join our newly created Analytics Engineering squad part of the Data Platform team. This is a unique opportunity to help shape the mindset standards and best practices of building data products that become trusted and strategic assets across the company.

Were entering an exciting new stage: expanding our Analytics Engineering team within the Data Platform to strengthen both our analytical modeling layer and the data foundation that powers it. As an Analytics Engineer youll be responsible for designing and building scalable high-quality high-performance data models; implementing trustworthy metrics; and unlocking data-driven decision-making through well-documented production-grade analytical addition youll extend your ownership earlier in the data pipeline ensuring that data is properly cleaned normalized and ready for transformation in Snowflake. This means working closely with the Data Engineering team on the curated layer typically in S3/Spark before data reaches the warehouse. This is a cross-functional role that bridges data engineering and analytics enabling consistent reliable data from raw ingestion to semantic modeling.

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires Argentina.

The Job

• Design and implement dimensional models and optimize data transformations in our data warehouse.
• Align with stakeholders and data partners to define and implement consistent metrics.
• Collaborate with data engineers on ingestion cleaning and normalization processes to ensure data quality before it reaches the warehouse.
• Contribute to the definition and automation of normalization standards (naming conventions data types schema consistency) across datasets.
• Build test and maintain scalable dbt pipelines to ensure quality performance and modularity.
• Manage CI/CD workflows in GitHub and dbt Cloud.
• Implement and monitor data observability and quality checks.
• Develop and maintain reliable metrics and semantic layers for consistent reporting.
• Create and maintain high-quality documentation standards and naming conventions.
• Enable reporting and analytical capabilities through BI tools.
• Ensure scalability and performance while managing large data volumes.
• Contribute to data governance initiatives to ensure compliance privacy and data quality.
• Work in an agile environment collaborating closely with engineers analysts data scientists and business stakeholders.

You

• 5 years of experience in Analytics Engineering Data Analytics Engineering BI Engineering or data modeling roles.
• Strong experience designing robust data models (gold tables semantic layers) to provide trusted organization-wide metrics.
• Hands-on experience with Snowflake and dbt for building scalable and optimized data pipelines.
• Proven experience cleaning normalizing and preparing data pipelines within a data lake or warehouse environment (e.g. S3/Spark).
• Understanding of how raw and cleaned datasets evolve into normalized structures before analytical modeling
• Excellent communication skills and a track record of collaboration with engineering and business teams.
• Fluency in English (written and spoken).

Preferred

• Experience using GitHub for version control and collaborative workflows.
• Familiarity with Looker (LookML Explores Dashboards) and/or modern BI tools.
• Experience with data observability tools (e.g. Metaplane).
• Exposure to Hex.
• Experience with Spark Glue or Databricks for preprocessing and normalization tasks.
• Familiarity with data governance frameworks and best practices.

Why youll 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 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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Learn more about GoFundMe:

Were proud to partner with 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 activities and impact in their FY 24 annual report.

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