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Day 156
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From 11,032 similar postings that came down. Coming down is not always a hire.
São Paulo, São Paulo, Brazil
Open 5 months, first seen by us 156 days agoBuild and maintain a scalable, secure data platform and connected data pipelines
Create and edit data pipelines, checking data quality and cleaning data
Model data and build transformation workflows with clear datasets
Investigate data inconsistencies and trace their source
Run PoCs and benchmarks to choose tools, buy or build
design, build, and maintain a robust, self-service, scalable, and secure data platform and end-to-end data pipelines
Create and edit data pipelines, considering business logic that best applies to the area in question, choosing levels of aggregation, grouping and transforming fields, checking data quality, and cleaning the data
Create data modeling and transformation workflows, enabling the creation of clear and accessible data abstractions
Investigate inconsistencies and be able to trace the source of differences (data troubleshooting)
Conduct PoCs and benchmarks to determine the best tool for a given problem, and decide whether to use an off-the-shelf solution or develop one in-house
Experience with Airflow, Spark, AWS and Databricks;
Experience in building semantic layers.
Experience with columnar storage solutions and/or data lakehouse concepts;
Proficiency in Python, or one of the main programming languages, and a passion for writing clean and maintainable code.
Strong knowledge in optimizing SQL query performance;
Experience in building multidimensional data models (Star and/or Snowflake schema);
From the employer’s posting.
We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America.
In the employer’s words · Read in context
Open 5 monthsWe first saw this posting 156 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 156
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 11,032 similar postings that came down. Coming down is not always a hire.
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
What we are looking for: - Specialist in technologies, solutions, and concepts of Big Data (Spark, Hadoop, Hive, MapReduce) and multiple languages (YAML, Python); - Experience with Airflow, Spark, AWS and Databricks;
- Experience with columnar storage solutions and/or data lakehouse concepts; - Proficiency in Python, or one of the main programming languages, and a passion for writing clean and maintainable code. - Strong knowledge in optimizing SQL query performance;
- Proficiency in Python, or one of the main programming languages, and a passion for writing clean and maintainable code. - Strong knowledge in optimizing SQL query performance; - Experience in building multidimensional data models (Star and/or Snowflake schema);
- Specialist in technologies, solutions, and concepts of Big Data (Spark, Hadoop, Hive, MapReduce) and multiple languages (YAML, Python); - Experience with Airflow, Spark, AWS and Databricks; - Strong foundation in software engineering principles, with experience working on data-centric systems;
- Understanding of the data lifecycle and concepts such as lineage, governance, privacy, retention, anonymization, etc.; - Knowledge in infrastructure areas such as containers and orchestration (Kubernetes, ECS), CI/CD strategies, infrastructure as code (Terraform), observability (Prometheus, Grafana), among others; - Proficiency in English - our code, documentation, tools, and materials are often structured in English.
You will stand out if: - You have participated in building large-scale data platforms for big data sets and teams using Big Data technologies such as Spark, Trino, Hive, Atlas, Ranger, etc.; - Experience in building semantic layers.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
About Grupo QuintoAndar
We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diversified portfolio of brands and solutions across different countries in Latin America, covering all phases of the housing journey. We also have a Technology Hub in Portugal. We develop technology and innovation to transform and enhance the overall living experience.
With the support of a world-class team of investors and advisors, including Kaszek, Qualcomm, General Atlantic, and SoftBank, Grupo QuintoAndar is currently valued at over USD 5.1 billion and continues to grow year over year.
Here, you will work with top professionals in the market, in an environment that breathes innovation, collaboration, and high performance. To learn more about our story, visit: https://grupoquintoandar.com/pt/.
Location & Remote Work
Our technology team operates under a "remote-first" model, which means we work from home and can live anywhere in Brazil. We also offer the option of working from our São Paulo offices or partner coworking spaces, up to twice a week.
Hiring Process Stages
The stages of our hiring processes aim to assess your experiences and allow you to meet our teams and explore career opportunities. They are structured as follows:
About the Role
We are looking for a skilled and motivated Data Engineer Specialist to join our team. The responsibilities of this role is to design, build, and maintain a robust, self-service, scalable, and secure data platform and end-to-end data pipelines that empowers Data Analysts, and Data Scientists to deliver insights and drive strategic decision-making.
Responsibilities of a Data Engineer at QuintoAndar:
What we are looking for:
You will stand out if:
Important
Benefits
Diversity & Inclusion at Grupo QuintoAndar
We value diversity and want everyone to feel welcome here, regardless of their age, gender identity, sexual orientation, race, color, ethnicity, origin, disability, religion, or any other characteristic. All our job openings are open to all individuals!
You'll notice there are some diversity questions in the application form. For affirmative action roles, this information may be used to verify your alignment with the target audience for the opportunity. In such cases, it may be used for elimination purposes. For non-affirmative action roles, this data will be used anonymously, exclusively to monitor and improve our inclusion practices in the hiring process, and will have no impact on your application.
Privacy and Data Protection
The Grupo QuintoAndar operates in compliance with privacy and data protection laws, including, but not limited to, the Brazilian General Personal Data Protection Law (LGPD) (Law No. 13,709/2018), and ensures the security of your data. To learn more, please access our Privacy Notice for Candidates. For questions or to exercise your rights as a data subject, please contact us through our Service Channel.
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São Paulo, São Paulo, Brazil
Here, you will work with top professionals in the market, in an environment that breathes innovation, collaboration, and high performance. To learn more about our story, visit: https://grupoquintoandar.com/pt/. Location & Remote Work Our technology team operates under a "remote-first" model, which means we work from home and can live anywhere in Brazil. We also offer the option of working from our São Paulo offices or partner coworking spaces, up to twice a week. Hiring Process Stages
No clear work-authorization passage found. Eligibility is unconfirmed.