Acerca del Grupo QuintoAndar
Somos el Grupo QuintoAndar, el mayor ecosistema inmobiliario de América Latina. Guiados por un propósito compartido de ayudar a las personas a amar el lugar donde viven, contamos con un portafolio diversificado de marcas y soluciones en diferentes países de América Latina y también con un Hub de Tecnología en Portugal. Desarrollamos tecnologías e innovación para transformar e impulsar la experiencia de vivienda en su totalidad.

Juntas, nuestras marcas líderes ofrecen soluciones que cubren todas las etapas del proceso de viviendar: Inmuebles24 (México), Zonaprop (Argentina), Adondevivir y Urbania (Perú), Plusvalía (Ecuador), ImovelWeb y QuintoAndar (Brasil).

Con el apoyo de un equipo de inversionistas y consultores de clase mundial, como Kaszek, Qualcomm, General Atlantic y SoftBank, QuintoAndar Group está actualmente valorado en más de 5.100 millones de dólares y sigue creciendo año tras año.

Aquí trabajarás con los mejores profesionales del mercado, en un entorno que respira innovación, colaboración y alto rendimiento. Para conocer más sobre nuestra historia, visita https://grupoquintoandar.com/es/.

Ubicación y Modelo de Trabajo Híbrido 
Nuestro equipo de Software Engineer trabaja bajo el modelo “híbrido”, siendo necesario estar presencialmente en la oficina, ubicada en Buenos Aires, 1 vez por semana al menos.

Etapas  del Proceso Selectivo:

Las etapas de nuestros procesos de selección tienen como objetivo evaluar tus experiencias y brindarte la oportunidad de conocer a nuestros equipos y oportunidades de carrera, y están estructuradas en los siguientes pasos:

• People Interview
• Tech Screening 
• Tech Interview 1
• Tech Interview 2

Acerca del puesto 

Estamos buscando un Data Engineer talentoso y motivado para unirse a nuestro equipo. Las responsabilidades de este rol incluyen diseñar, construir y mantener una plataforma de datos sólida, de autoservicio, escalable y segura, así como pipelines de datos de extremo a extremo que permitan a Data Scientists generar insights y impulsar la toma de decisiones estratégicas.

Responsabilidades de un Data Engineer en QuintoAndar:

• Construir y mantener una plataforma de datos de alto rendimiento que satisfaga las necesidades de la empresa, se conecte con las soluciones de producto y lidere la innovación analítica, habilitando arquitecturas robustas y plataformas eficientes.

• Crear y mantener pipelines de datos, considerando la lógica de negocio que mejor se aplica al área en cuestión, eligiendo niveles de agregación, agrupación y transformación de campos, verificando la calidad de los datos y realizando su limpieza.

• Crear modelos de datos y flujos de trabajo de transformación, permitiendo la creación de abstracciones de datos claras y accesibles.

• Ser responsable de todo el ciclo de vida del desarrollo de código (monitoreo de despliegues, documentación, rendimiento, seguridad, incorporación de métricas y alertas, cumplimiento del presupuesto de SLO, entre otros).

• Investigar inconsistencias y ser capaz de rastrear el origen de las diferencias (data troubleshooting).

• Permitir que los equipos de toda la empresa accedan y utilicen los datos de manera más efectiva mediante herramientas de autoservicio y datasets bien modelados.

• Alinear con stakeholders para comprender sus necesidades principales, manteniendo una visión holística del problema y proponiendo soluciones extensibles, escalables e incrementales.

• Realizar PoCs y benchmarks para determinar la mejor herramienta para un problema determinado, y decidir si se debe utilizar una solución existente o desarrollar una internamente.

• Contribuir a definir la visión estratégica, cruzando límites entre equipos y servicios para resolver problemas.

• Promover el valor del análisis y la ingeniería de datos dentro de la organización y fomentar una cultura data-driven.

• Ser una referencia dentro del chapter en conceptos técnicos, herramientas y/o mejores prácticas de desarrollo.

Lo que buscamos:

• 7 o más años de experiencia en roles de Data Engineering.

• Especialización en tecnologías, soluciones y conceptos de Big Data (Spark, Hadoop, Hive, MapReduce) y múltiples lenguajes (YAML, Python).

• Experiencia con Airflow, Spark, AWS y Databricks.

• Base sólida en principios de ingeniería de software, con experiencia trabajando en sistemas centrados en datos.

• Experiencia con soluciones de almacenamiento columnar y/o conceptos de data lakehouse.

• Dominio de Python, u otro de los principales lenguajes de programación, y pasión por escribir código limpio y mantenible.

• Conocimiento sólido en optimización del rendimiento de consultas SQL.

• Experiencia construyendo modelos de datos multidimensionales (esquemas Star y/o Snowflake).

• Comprensión del ciclo de vida de los datos y conceptos como lineage, gobernanza, privacidad, retención, anonimización, entre otros.

• Conocimientos en áreas de infraestructura como contenedores y orquestación (Kubernetes, ECS), estrategias de CI/CD, infraestructura como código (Terraform), observabilidad (Prometheus, Grafana), entre otros.

• Dominio del inglés: nuestro código, documentación, herramientas y materiales suelen estar estructurados en inglés.

• Excelentes habilidades de comunicación, compartiendo de forma proactiva y colaborando tanto con stakeholders técnicos como no técnicos para traducir necesidades de negocio en soluciones de datos escalables.

• Experiencia como tech lead / project lead o similar.

• Curiosidad, atención al detalle y capacidad para desenvolverse en un entorno dinámico y orientado a datos.

Te destacarás si:

• Has participado en la construcción de plataformas de datos a gran escala para grandes volúmenes de datos y equipos, utilizando tecnologías de Big Data como Spark, Trino, Hive, Atlas, Ranger, entre otras.

• Tienes experiencia en la construcción de capas semánticas (semantic layers).

Importante:

• ¡Nuestro proceso de selección comienza con el registro! Si realmente deseas formar parte de nuestro equipo, asegúrate de completar  esta primera etapa. Revisamos cada postulación con atención y siempre damos una respuesta, aunque la persona no siga en el proceso. 
• Toda la comunicación se realiza por correo electrónico, así que estate atento a nuestros mensajes y libera el dominio @quintoandar.com.br para que nuestros correos no terminen en la carpeta de spam.

Beneficios

• Plan médico
• Wellhub
• Licencia parental extendida
• Reintegro de Guardería
• Gastos de teletrabajo (monto mensual)
• Descuentos en servicios del día a día
• Día libre por cumpleaños, Día del Padre y Día de la Madre

Diversidad e Inclusión en Grupo QuintoAndar

Durante la inscripción, verás algunas preguntas sobre diversidad. Estas son confidenciales y tienen como objetivo apoyar nuestras acciones de diversidad e inclusión. En vacantes afirmativas, la información podrá ser utilizada para verificar el alineamiento con el público objetivo de la oportunidad y, en estos casos, podría tener carácter eliminatorio. Para vacantes no afirmativas, esta información no afecta tu postulación y se utiliza únicamente para ayudarnos a mejorar continuamente nuestras prácticas e iniciativas de inclusión a lo largo de tu trayectoria con nosotros.

Privacidad y Protección de Datos

El Grupo QuintoAndar actúa de conformidad con las leyes de privacidad y protección de datos, y garante la seguridad de sus datos personales. Para saber más, consulte nuestro Aviso de Privacidad para Personas Candidatas. Si tiene dudas o desea ejercer sus derechos como titular de los datos, póngase en contacto con nosotros a través de nuestro Canal de Atención.

#LI-SF4

Please note, this is a talent pool position, not a live role. If you would like to be considered for any future Data Engineer positions at DEPT®, please submit an application and we will be in touch when a suitable opportunity arises.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

THE ROLE:

Ready to move with intent? As a Data Engineer, you take ownership of complex data workflows that power digital transformation. You will design and implement scalable data solutions that bridge the gap between raw information and actionable marketing insights.

WHAT YOU’LL DO:

• Develop and deploy production-grade data pipelines using modern orchestration tools like Airflow or dbt.
• Optimize data models for performance and cost-efficiency within cloud environments.
• Perform code reviews and mentor Core Engineers to ensure high standards of "getting sh*t done".
• Collaborate with Data Scientists and Analysts to ensure data readiness for advanced modeling.
• Implement data security and privacy best practices in line with global standards.

WHAT YOU BRING:

We’re open to see all different levels of experience.

• Proven experience in designing and building ETL/ELT pipelines in a professional environment.
• Deep proficiency in SQL and Python for data processing.
• Experience with at least one major cloud platform (AWS, GCP, or Azure).
• Knowledge of data modeling techniques (e.g., Star Schema, Data Vault).
• Ability to act fast and adapt to the evolving needs of global brands.

TAKE INTO ACCOUNT:

• You will have to communicate with your team members abroad, therefore fluency in English and excellent communication skills (both written and verbal) are a must for this role.

WHAT DO WE OFFER?

• We enjoy spending time together, working closely with other local colleagues, and getting to know one another. Our Buenos Aires offices (Villa Crespo or Mar del Plata) are fully equipped with refreshments and great common spaces!
• Premium healthcare through OSDE for the employee and their immediate family members
• Mendel prepaid card with a monthly allowance for grocery purchases
• Monthly reimbursements for Wi-Fi/electricity expenses
• Monthly reimbursements for training/English classes
• 100% covered “Plan Total” membership at Sportclub
• Access to a our benefits platform through Bonda
• A flexible vacation policy

WE SUPPORT YOU BEING YOU: 

DEPT® is an equal opportunity employer (EOE). We believe our work is its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s identity, background, beliefs, lifestyle or disabilities. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step. 

DEPT® participates in E-Verify, meaning your Form I-9 information will be sent to the federal government to confirm you are authorized to work in the U.S. 

We are a B Corp-certified company passionate about purpose-driven work.  Our hope is that you can feel good about the contributions DEPT® is making to the world and we always have an open door for your ideas in making the world a better place. 

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Coach, eBay, and OpenAI.

Learn more about DEPT®

DIVERSITY, EQUITY, & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine. 

We also encourage you  to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

The Role:

We are looking for a well-rounded, flexible Data Engineer with an interest in translating business goals into concrete solutions. You’ve been part of more than one team, you’ve demonstrated initiative on most of your projects, and you can tell us in technical detail what you did to help. Ideally you’ve worked with at least one devops team, and in at least one flavor of agile.  If you haven’t we won’t hold that against you. At DEPT®, we pride ourselves on our pragmatic, engineering approach to making data work for the business.

What you’ll bring:

• Ability to realign client expectations when challenges arise (delays, change in scope, etc.)
• Proactively, and independently able to research knowledge needed to perform tasks (i.e., knows when to ask for help, and doesn't spend significant time on already-solved issues)
• You have the ability to identify potential technical solutions that apply to an internal/client situation (i.e., ability to connect technical solutions to a business need).
• You enjoy working with peers / new hires to help them understand and apply best practices
• You can prioritize multiple tasks and communicate the overall status of a project.
• You enjoy participating in technical design of systems, schemas, or pipelines and offer sound guidance

What we’re looking for:

• 3+ years of experience in core programming fundamentals, modern tools (IDEs, CLI, Git/version control), and basic debugging:
• Scripting languages like Python, Ruby
• Compiled languages like Java, Scala, C++
• MongoDB + Kafka are nice to have!
• Source Control Systems
• 2+ years of experience in Data Management Tools: 
• Pipeline management tools like Airflow or Luigi, and/or enterprise ETL tools like Informatica, SSIS or Datastage
• Devops tools like Terraform, Kubernetes, Docker
• Database Management Systems like BigQuery, Snowflake, PostgreSQL, mySQL, Oracle, MS SQL Server, Redshift
• 2+ years of discovery and assessment of a client’s portfolio, tools, and applications
• 2+ years of professional software and consulting experience
• Experience working in cloud environments (AWS or GCP) is a plus.
• Experience with Unix-based OSes a plus!

WHAT DO WE OFFER?

• We enjoy spending time together, working closely with other local colleagues, and getting to know one another. Our Buenos Aires offices (Villa Crespo or Mar del Plata) are fully equipped with refreshments and great common spaces!
• Premium healthcare through OSDE for the employee and their immediate family members
• Mendel prepaid card with a monthly allowance for grocery purchases
• Monthly reimbursements for Wi-Fi/electricity expenses
• Monthly reimbursements for training/English classes
• 100% covered “Plan Total” membership at Sportclub
• Access to a our benefits platform through Bonda
• A flexible vacation policy

WE SUPPORT YOU BEING YOU

DEPT® is an equal opportunity employer (EOE). We believe our work is at its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s lived experience, race, color, religion, sex, national origin, age, disability, and genetic information. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step.

We are a B Corp-certified company passionate about purpose-driven work. Our hope is that you can feel good about the contributions DEPT® is making to the world, and we always have an open door for your ideas in making the world a better place.

DEPT® is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more. Its team of 2,500+ digital specialists across 30+ locations on 5 continents delivers pioneering work on a global scale with a boutique culture.

Learn more about DEPT®

DIVERSITY, EQUITY, & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

About the Team:

Our Data Team is a highly dynamic and innovative group that excels in solving complex business challenges and propelling the growth of an enterprise through our analytical expertise. We provide crucial insights that empower individuals across the company to make better decisions, ultimately increasing efficiency. If you have a passion for shaping the future of an organization with your analytical skills, this role offers an exciting opportunity to fulfill your aspirations.

The role:

Analytics Engineers at CookUnity are data product owners who sit in a single team on a mission to minimize time spent by analysts and data scientists discovering, understanding and preparing data before launching into their work. Each analytics engineer has ownership and autonomy over a set of entities / tables in a domain, collaborating on a single data design from first principles that the team owns together. As their products mature they merchandise them as Tableau Connections, extracts into sheets or any other end point needed to achieve their mission.

Some analytics engineers have an interest in data infrastructure and integrations, others in bringing their data to life through interactive visualizations but all have the skills to work with unruly raw data, design analytics friendly data products (incl entities and flat tables) and build them to a production standard that the whole company can rely on. Everyone in data at CookUnity comes with a high agency mindset, a passion for collaborating with others, a pattern of achievement and a sincere interest in investing in their own development.

Everyone in data at CookUnity comes with a high agency mindset, a passion for collaborating with others, a pattern of achievement and a sincere interest in investing in their own development.

Responsibilities:

• Own Core Data Products

  Design, build, and maintain dbt models in Snowflake that reflect key business logic and serve as reliable sources of truth. Define clear ownership, usage expectations, and roadmaps for your data products.

• Build Trustworthy, Scalable Models

  Develop models that are easy to use, tested, documented, and serve a wide range of stakeholders. Measure success through usage metrics, reduced support needs, and SLA coverage.

• Ensure Reliability and Observability

  Monitor pipelines, track schema changes, and implement testing and alerting to ensure consistent data quality and uptime.

• Drive Iteration Through Feedback

  Collect and act on feedback from users. Use metrics, interviews, and usage logs to continuously improve your data products and documentation.

• Advance AI Adoption in Analytics

  Champion the use of agentic and AI-assisted tools in data workflows. Lead pilots, measure impact, and scale successful practices across the team.

• Collaborate Cross-Functionally

  Work with Engineering, Product, and Ops to align on metrics, instrumentation, experimentation, and data needs.

• Mentor and Raise the Bar

  Review code, guide design decisions, and share knowledge to elevate the craft of Analytics Engineering within the team.

Qualifications:

• 4+ years of experience in Analytics Engineering, Data Engineering, or a similar role working with modern data stacks (dbt, Fivetran/Airbyte, Airflow, Snowflake/BigQuery, etc.)
• Deep understanding of data modeling principles (e.g. dimensional modeling, ELT best practices, testing strategies, etc.)
• Proficiency in SQL and version control (Git), with experience shipping production-quality data pipelines
• Experience collaborating closely with cross-functional stakeholders (Product, Engineering, Operations, etc.) to translate business needs into data solutions
• Comfort navigating ambiguity in fast-paced environments, with a strong sense of ownership and problem-solving mindset
• Familiarity with BI tools (e.g. Tableau, Hex, Looker) and a passion for enabling self-serve data culture
• Excellent communication skills, with the ability to explain technical concepts to non-technical audiences

Learn More About CookUnity

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we’re looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we’d love to connect!

Benefits

💸 Get paid in USD

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Customize the benefits that suit your needs! Access a range of perks tailored to you, including learning opportunities, wellness memberships, delivery apps, and more through our comprehensive benefit platform

🧑‍🏫 Personalized English coach

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.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

THE ROLE:

We are looking for a well-rounded, flexible Data Engineer with an interest in translating business goals into concrete solutions. You’ve been part of more than one team, you’ve demonstrated initiative on most of your projects, and you can tell us in technical detail what you did to help. Ideally, you’ve worked with at least one DevOps team, and in at least one flavor of agile.  If you haven’t, we won’t hold that against you. At DEPT®, we pride ourselves on our pragmatic, engineering approach to making data work for the business.

WHAT YOU’LL DO:

• Ability to realign client expectations when challenges arise (delays, change in scope, etc.)
• Proactively, and independently able to research knowledge needed to perform tasks (i.e., knows when to ask for help, and doesn't spend significant time on already-solved issues)
• You have the ability to identify potential technical solutions that apply to an internal/client situation (i.e., the ability to connect technical solutions to business needs).
• You enjoy working with peers / new hires to help them understand and apply best practices
• You can prioritize multiple tasks and communicate the overall status of a project.
• You enjoy participating in the technical design of systems, schemas, or pipelines and offer sound guidance

WHAT YOU’LL BRING:

• 4+ years of experience in core programming fundamentals, modern tools (IDEs, CLI, Git/version control), and basic debugging:
• Scripting languages like Python, Ruby
• Compiled languages like Java, Scala, and C++
• Source Control Systems
• 4+ years of experience in Data Management Tools: 
• Pipeline management tools like Airflow or Luigi, and/or enterprise ETL tools like Informatica, SSIS or DataStage
• DevOps tools like Terraform, Kubernetes, Docker
• Database Management Systems like BigQuery, Snowflake, PostgreSQL, MySQL, Oracle, MS SQL Server, Redshift
• 4+ years of discovery and assessment of a client’s portfolio, tools, and applications
• 4+ years of professional software and consulting experience
• Experience managing the ingestion of data into a DWH
• Via APIs, ETL tools, batch feeds, etc.
• Experience working in cloud environments (AWS or GCP) is a plus.
• Experience with Unix-based OSes a plus!

WHAT DO WE OFFER?

• We enjoy spending time together, working closely with other local colleagues, and getting to know one another. Our Buenos Aires offices (Villa Crespo or Mar del Plata) are fully equipped with refreshments and great common spaces!
• Premium healthcare through OSDE for the employee and their immediate family members
• Mendel prepaid card with a monthly allowance for grocery purchases
• Monthly reimbursements for Wi-Fi/electricity expenses
• Monthly reimbursements for training/English classes
• 100% covered “Plan Total” membership at Sportclub
• Access to a our benefits platform through Bonda
• A flexible vacation policy

WE SUPPORT YOU BEING YOU

DEPT® is an equal opportunity employer (EOE). We believe our work is at its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s lived experience, race, color, religion, sex, national origin, age, disability, and genetic information. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step.

We are a B Corp-certified company passionate about purpose-driven work. Our hope is that you can feel good about the contributions DEPT® is making to the world, and we always have an open door for your ideas in making the world a better place.

DEPT® is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more. Its team of 2,500+ digital specialists across 30+ locations on 5 continents delivers pioneering work on a global scale with a boutique culture.

Learn more about DEPT®

DIVERSITY, EQUITY, & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

We are looking for a strategic, highly analytical Senior Data Analyst to join our team as we transition our advertising model to a pay-for-performance structure. In this dual-impact role, you will serve as the critical bridge between Marketing, Sales, Yield, and Product teams.

You will be responsible for the full lifecycle of advertising data—from tracking how we acquire site traffic to optimizing how we monetize that traffic. Your work will directly influence our marketing spend, pricing strategies, and inventory management to maximize overall revenue and growth.

Key Responsibilities

• Performance & Attribution: Develop sophisticated attribution models and funnel reporting across paid and organic channels to determine ROI based on both short- and long-term outcomes.
• Yield Optimization: Build and maintain campaign management data and reporting to improve monetization effectiveness and ad performance.
• Analytics Engineering: Build and maintain robust data models Snowflake (using dbt, Airflow, or similar) that integrate data from Segment, Salesforce, HubSpot, Iterable, and ad servers.
• Strategic Insights: Analyze website traffic, customer conversion/retention, and inventory supply/demand to provide actionable insights for leadership.
• Testing & Experimentation: Analyze and support experiments and A/B tests for product, marketing campaigns and yield strategies, measuring impact and identifying statistically significant trends.
• Dashboarding: Create and manage comprehensive Looker dashboards that align marketing performance with revenue forecasting and inventory health.

Requirements

• Experience: 5+ years of experience with a proven track record of driving strategy in a marketplace, paid marketing, B2B SaaS, or AdTech environment.
• Education: Bachelor’s degree in a quantitative field (Statistics, Economics, Math, CS, Engineering). Master’s degree preferred.
• Technical Skills: Expert-level SQL and Python; hands-on experience with Snowflake and dbt (or similar data stack); Proficiency in Looker for data visualization.
• Domain Familiarity: Knowledge of lead funnels, marketing attribution, and ROAS; Experience with ad servers and configuration platforms (e.g., Kevel, Placements.io); Familiarity with event tracking (Segment, Google Analytics) and CRM data (Salesforce, HubSpot).
• Soft Skills: Exceptional communication skills with the ability to translate complex data into a narrative for non-technical stakeholders; a self-starter mindset with high attention to detail. Comfort with ambiguity, complexity, and identifying the best path forward with light guidance.

Please submit your resume in English.

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