As part of the data team at Monks, you’ll work at the intersection of analytics, reporting, and marketing—helping us translate complex data into actionable insights. You’ll play a key role in designing, streamlining, and managing dashboards, reports, and data products, as well as collaborating with cross-functional teams to support smarter decision-making across the company.

What You’ll Do

• Build, optimize, and maintain reports and dashboards that help teams evaluate project and business performance.
• Ability to achieve a data integration process used to combine data from multiple sources into a single, consistent data store, such as a data warehouse or data lake (ETL).
• Manage the data team backlog, acting as owner for ongoing initiatives.
• Analyze large datasets to detect trends, identify anomalies, and surface actionable insights.
• Collaborate with stakeholders to offer analytical support and guide data-informed decisions.
• Maintain and improve data pipelines using integration tools across multiple platforms.
• Develop and deliver clear data visualizations and spreadsheets tailored for different audiences.
• Monitor for data quality issues and proactively propose solutions.
• Drive process improvements that enhance the efficiency and value of the data function.
  
  

What We’re Looking For

• Degree in Data Science, Statistics, Economics, Quantitative Finance or a related analytical field.
• Hands-on experience with SQL and data visualization tools (Looker Studio / Data Studio, Power BI or Tableau as a second priority).
• Hands-on experience with Big Query preferably or other data warehouse tools
• Ability to translate data into compelling stories for both technical and non-technical stakeholders.
• Strong organizational and product owner skills.
• Detail-oriented mindset with a high level of accuracy and autonomy.
• Excellent problem-solving and communication skills.
• Mid level of English, both spoken and written.
• Familiarity with GCP or other cloud platforms is a strong plus.
• Artificial intelligence enthusiast
  
  

What We Value

• Initiative and ownership—you don’t wait for orders; you take action.
• Strategic thinking combined with the drive to execute.
• Team-first mindset with a collaborative spirit.
• Resourcefulness—you can find answers even when it’s your first time facing the problem.
• Technical skills

#LI-MR1 #LI-Hybrid ID: 11429 

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 Senior Software Engineer to join our Data Platform team! 

In this position, you will play a pivotal role within our expanding Data team, to help build and scale our next-generation data platform, starting with foundational systems like Master Data Management (MDM) and expanding into a broader event-driven ecosystem. This, in turn, drives business growth, fostering a worldwide environment of peer-to-peer generosity. This is a highly impactful, hands-on role where you’ll design and implement distributed, event-driven systems that power analytics, data science, and operational use cases across the company.

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

The Job

• Build core services for an event-driven, source-of-truth data platform on AWS
• Develop and operate Kafka-based pipelines and stream consumers
• Design systems where events are the source of truth and state can be rebuilt via replay
• Define patterns for idempotency, ordering, retries, and DLQs
• Design for auditability, replay, recovery, and rollback using S3 + Iceberg
• Build APIs and purpose-driven projections (read models) for downstream systems
• Design and evolve scalable, reliable distributed systems
• Make thoughtful tradeoffs across consistency, latency, and cost
• Establish best practices for event-driven architecture and data modeling
• Develop and orchestrate streaming and ELT pipelines from databases, APIs, and event streams
• Contribute to data warehouse (e.g., Snowflake) and data activation use cases where needed
• Integrate AI/LLM capabilities into data workflows and internal data products
• Monitor and optimize system performance, cost, and reliability
• Collaborate across engineering, data, and product teams to deliver impactful solutions 

You 

• 7+ years of backend or data engineering experience
• Strong programming skills in Java, Kotlin, Python, or Go
• Solid understanding of distributed systems and system design
• Hands-on experience with Kafka (or equivalent)
• Strong understanding of:
• Topic design, partitioning, consumer groups
• Idempotency, ordering, delivery semantics
• Replay, backfills, and failure handling
• Experience designing systems where event streams drive state and projections
• Strong experience with AWS (MSK, S3)
• Working knowledge of Snowflake or similar data warehouse
• Strong SQL and experience building ELT/streaming pipelines
• Strong experience with Postgres/MySQL
• Solid data modeling and performance optimization skills
• Understands event logs vs read models tradeoffs
• Ability to design systems from scratch and evolve architectures
• Familiarity with LLMs/AI tooling (e.g., embeddings, RAG, prompt design)
• Strong ownership mindset with end-to-end execution

Preferred

• Experience with Apache Iceberg
• Familiarity with Flink or stream processing frameworks
• Experience with CDC tools (e.g., Debezium)
• Experience with DBT, Reverse ETL, or modern data stack tools
• Experience with Terraform, Kubernetes (EKS)
• Exposure to MDM, identity, or data governance systems
• Familiarity with vector databases or AI-powered data systems

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 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 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 ‘25 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. 

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 Analytics Engineer to join our Data Platform team! 

In this position, you will help define and scale our modern analytics layer—bridging raw data and business insights through trusted, well-modeled, and accessible datasets. This role sits at the intersection of data engineering, analytics, and product, and is critical to enabling high-quality decision-making across the organization. You’ll partner closely with stakeholders to define metrics, model data, and build scalable, self-serve analytics foundations. This, in turn, drives business growth, fostering a worldwide environment of peer-to-peer generosity. 

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

The Job

• Design, build, and maintain scalable data models that power analytics, reporting, and experimentation
• Develop and manage transformation workflows using DBT (or similar tools) following modern ELT practices
• Define and maintain a metrics layer / semantic layer to ensure consistent, trusted business definitions
• Build curated, analytics-ready datasets from multiple sources (event data, transactional systems, third-party APIs)
• Partner with stakeholders to translate business questions into well-defined metrics and data models
• Ensure data quality through testing, validation, and monitoring frameworks
• Optimize query performance and cost efficiency within Snowflake (or similar warehouse)
• Enable self-service analytics by designing intuitive, well-documented data models
• Support and scale experimentation frameworks, including A/B testing and metric standardization
• Leverage AI tools such as Claude and agentic workflows to accelerate data modeling, metric documentation, and semantic layer development
• Help shape how the team uses AI-assisted analytics — enabling data scientists and business users to query trusted datasets through governed AI interfaces
• Collaborate with data engineers to define upstream data contracts and improve data reliability
• Document data models, metrics, and lineage to improve discoverability and trust
• Contribute to governance practices including naming conventions, versioning, and access controls
• Drive adoption of best practices in analytics engineering across the organization

You 

• 5+ years of experience in analytics engineering, data engineering, or advanced analytics roles
• Strong expertise in SQL (advanced querying, optimization, window functions, etc.)
• Hands-on experience with DBT or similar transformation frameworks
• Experience working with modern data warehouses such as Snowflake, BigQuery, or Redshift
• Strong understanding of data modeling best practices (star schema, dimensional modeling, etc.)
• Hands-on experience with AI-assisted development tools such as Claude or GitHub Copilot to accelerate modeling, documentation, and code review
• Strong understanding of how LLMs and agentic workflows interact with semantic layers and what that means for how analytics data is structured and governed
• Experience defining and managing business metrics and semantic layers
• Familiarity with event-based data models and user behavior tracking
• Experience working with analytics tools such as Looker, Tableau, Sigma, or similar
•  

Preferred

• Experience with experimentation platforms and A/B testing frameworks
• Familiarity with metrics layer tools (e.g., LookML, MetricFlow, Cube, Transform)
• Experience with event tracking tools (GA, Heap, Segment, CDPs)
• Experience with Python for data transformation or analysis
• Knowledge of data orchestration tools (Airflow, Prefect)
• Experience with data governance and cataloging tools
• Familiarity with machine learning data pipelines or feature stores
• Experience with Reverse ETL tools (e.g., Hightouch, Census)

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 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 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 ‘25 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.

Senior Data Engineer

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

We are looking to add a Senior Data Engineer to our Marketplace Services team. The ideal candidate will have a passion for building and maintaining Xometry’s core data pipelines and models used to understand key business performance.  Additionally, this person will help scale data modeling across all global entities. You will play a crucial role in a rapidly growing part of the Xometry business, and everything you do will matter.

What you will do:

• Close collaboration with data scientists, ML engineers, and product teams to translate requirements into scalable, maintainable data solutions
• Build, document, and maintain robust data pipelines using tools like dbt, Dagster, Snowflake, Estuary, and Airbyte.
• Develop deployment and release of functionality through software integration to support devops and CI/CD pipelines
• Design, build, and operate cloud-based (AWS) data infrastructure, optimizing for scale, performance, and cost efficiency as the size of our data grows
• Build frameworks and internal self-service tooling that helps the data team deliver value faster

Requirements:

• Bachelor’s degree required, or relevant experience  
• 5+ years of prior experience as a software engineer or data engineer in a fast-paced, technical, problem-solving environment
•  Proficiency in cloud data warehouse (e.g., Snowflake) best practices, optimization and usage
• Expert in ETL, data modeling and version control, dbt and GitHub preferred
• Develop and implement robust data models that ensure data integrity, consistency, and understandability for both internal and external consumers 
• Knowledge and understanding of AWS data ecosystem
• Experience with data extraction tools (Estuary, Airbyte, etc.)
• Experience with programming language like Python, JavaScript
• Experience with Business Intelligence tools, Looker preferred
• Familiarity with data streaming technologies
• Demonstrated experience with continuous integration/continuous deployment tools
• Partner closely with business, engineers, product managers, and other stakeholders to translate business needs into technical solutions
• Ability to work in a fast paced environment and shift gears quickly
• Must be able to work core aligned hours to US Eastern Time / GMT-5         

#LI-Remote

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 GoFundMe as our next Staff Machine Learning Engineer (Pricing). In this role, you will design, develop, and deploy machine learning systems that power pricing and monetization programs across GoFundMe such as personalized donation and checkout experiences, donation yield optimization (one-time and recurring), recurring donor LTV optimization, fundraising goal suggestions, and more. This role requires strong end-to-end execution and deep expertise in building production ML systems (data → training → online inference → measurement) with rigorous experimentation and monitoring.

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

The Job…

• Own end-to-end ML systems for pricing optimization, from problem framing and metric definition (e.g., donation yield, conversion, retention, LTV) to model development, launch, and iteration in production.
• Design and implement backend model pipelines including feature engineering, training, and evaluation.
• Build low-latency real-time inferencing services, including API design, caching strategies, model packaging, and deployment on Kubernetes.
• Collaborate with teams to develop instrumentation and event pipelines to capture user and campaign activity required for training and evaluation (e.g., impression/click/submit, donation amount, tip amount, recurring enrollment/cancellation), ensuring schema quality, lineage, and privacy-by-design.
• Apply causal and experimental methodologies to measure impact and avoid biased optimization, including online A/B testing design, guardrail metrics, sequential testing considerations, and counterfactual/causal approaches when needed.
• Develop optimization approaches appropriate for pricing-like problems, such as uplift modeling, bandits, constrained optimization, calibration, and multi-objective tradeoffs (e.g., yield vs. donor trust, short-term conversion vs. long-term retention).
• Establish ML operational excellence by implementing model observability (latency, errors, drift, calibration, business KPI deltas), automated retraining triggers, rollback strategies, and incident response playbooks for pricing systems.
• Partner cross-functionally with Product, Engineering, Design, and Legal/Privacy stakeholders to translate business goals into measurable technical deliverables and ship safely.
• Mentor and set technical direction for other engineers and scientists through design reviews, architecture decisions, and shared best practices for production ML in monetization.
• Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems. (Full-stack experience—e.g., integrating with web clients and experimentation frameworks—is a plus.)

You…

• 7+ years of hands-on experience building and shipping production machine learning systems, with demonstrated ownership of backend services and ML pipelines in a high-availability environment.
• Strong proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, Scikit-learn, plus strong software engineering fundamentals (testing, code review, CI/CD, API design, performance, and reliability).
• Demonstrated experience in pricing/monetization or growth optimization domains preferred.
• Experience designing and deploying real-time model serving (sub-100ms to low-hundreds ms latency targets), including containerization, scalable inference, feature retrieval, and safe rollout strategies (canaries, shadowing, backward-compatible schema evolution).
• Strong data engineering fluency: building reliable datasets and features using SQL, Spark/Databricks, and warehouse technologies (e.g., Snowflake), with an understanding of event semantics, identity resolution, and data quality controls.
• Working knowledge of experiment design and causal measurement for monetization systems, including pitfalls such as selection bias, interference, and delayed outcomes; familiarity with uplift modeling, bandits, or constrained optimization is a strong plus.
• Experience implementing ML monitoring for both technical and business metrics (drift, calibration, segment performance, latency, error budgets) and operating models in production.
• Ability to break down ambiguous, high-impact problems, define crisp interfaces and success metrics, and deliver iteratively with strong stakeholder communication.
• Strong leadership and mentoring skills and a proven ability to raise the bar on architecture, engineering quality, and operational rigor for ML-powered pricing systems.
• Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred.
• Sense of humor is optional but appreciated.

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 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 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.