Middle Data Engineer
São Paulo, SP, Brazil
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign, develop, and maintain ETL/ELT pipelines
Build and optimize data transformations for analytics and reporting
Ensure data quality through testing and monitoring
Troubleshoot and resolve pipeline and performance issues
Develop and maintain data models and integration solutions
From the employer’s posting
Design, develop, and maintain ETL/ELT pipelines
Build and optimize data transformations to support analytics and reporting needs
Ensure data quality, consistency, and reliability through testing and monitoring
Troubleshoot and resolve data pipeline and performance issues
Develop and maintain data models, datasets, and integration solutions
What you’ll bring
All qualificationsCore experience
- 3+ years in Data Engineering or Software Engineering
- Strong SQL and data modeling skills
- Hands-on Python for data processing and automation
- Hands-on Databricks and Apache Spark experience
- Experience working with Snowflake
Qualification wording
3+ years of experience in Data Engineering or Software Engineering
Strong SQL skills and understanding of relational and dimensional data modeling
Hands-on experience with Python for data processing and automation
Hands-on experience with Databricks and Apache Spark
Experience working with Snowflake
Tools in this posting
- Python
- SQL
- AWS
- Databricks
- Snowflake
- Spark
- Airflow
- Dagster
Source — Tool mentions in context
- Strong SQL skills and understanding of relational and dimensional data modeling - Hands-on experience with Python for data processing and automation - Experience building and maintaining ETL/ELT pipelines
The project focuses on building and maintaining scalable cloud-based data platforms that support analytics and business intelligence initiatives. The team develops ETL/ELT pipelines, optimizes data transformations, and enhances modern data architectures using distributed data processing technologies and cloud infrastructure. Key Technologies: Python, SQL, Apache Spark, Databricks, Snowflake, AWS, ETL/ELT, CI/CD
- Upper-Intermediate English level - Strong SQL skills and understanding of relational and dimensional data modeling - Hands-on experience with Python for data processing and automation
- Understanding of data warehousing and modern data platform concepts - Experience working with cloud environments, preferably AWS - Familiarity with CI/CD, Git, and software engineering best practices
Do you enjoy building scalable data solutions that enable analytics, reporting, and business intelligence? We are looking for a Middle Data Engineer to join a remote team working on modern cloud-native data platforms and distributed data processing systems. In this role, you will contribute to the development and optimization of ETL/ELT pipelines, data models, and cloud-based data architectures using technologies such as Databricks, Apache Spark, Snowflake, and AWS. This opportunity is ideal for engineers who want to deepen their expertise in modern Data Engineering practices while working on impactful business solutions. We at Sigma Software value collaboration, continuous learning, and technical excellence. Joining our team means working in a supportive engineering environment with opportunities for professional growth, knowledge sharing, and long-term career development.
- Experience building and maintaining ETL/ELT pipelines - Hands-on experience with Databricks and Apache Spark - Experience working with Snowflake
- Hands-on experience with Databricks and Apache Spark - Experience working with Snowflake - Understanding of data warehousing and modern data platform concepts
- Experience with streaming data processing - Knowledge of orchestration tools such as Airflow or Dagster - Experience with infrastructure as code practices
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 15, 2026 · 14 days ago
- Recorded sightings
- 27
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
- Design, develop, and maintain ETL/ELT pipelines
- Build and optimize data transformations to support analytics and reporting needs
- Develop and maintain data models, datasets, and integration solutions
- Ensure data quality, consistency, and reliability through testing and monitoring
- Troubleshoot and resolve data pipeline and performance issues
- Collaborate with analysts, engineers, and business stakeholders to deliver data-driven solutions
- Contribute to the development and maintenance of cloud-based data platforms
- Participate in code reviews and technical discussions
- Create and maintain technical documentation for implemented solutions
- Continuously improve existing data processes and platform performance
Qualifications
- 3+ years of experience in Data Engineering or Software Engineering
- Upper-Intermediate English level
- Strong SQL skills and understanding of relational and dimensional data modeling
- Hands-on experience with Python for data processing and automation
- Experience building and maintaining ETL/ELT pipelines
- Hands-on experience with Databricks and Apache Spark
- Experience working with Snowflake
- Understanding of data warehousing and modern data platform concepts
- Experience working with cloud environments, preferably AWS
- Familiarity with CI/CD, Git, and software engineering best practices
- Strong analytical, troubleshooting, and communication skills
WILL BE A PLUS
- Experience with streaming data processing
- Knowledge of orchestration tools such as Airflow or Dagster
- Experience with infrastructure as code practices
- Familiarity with data quality and observability frameworks
- Exposure to large-scale distributed data systems
- Experience working in Agile environments
Additional Information
PERSONAL PROFILE
- Strong analytical mindset
- Detail-oriented and quality-focused
- Proactive and collaborative approach
- Good communication and teamwork skills
- Willingness to learn and grow within modern Data Engineering environments
- Ability to work independently in remote teams
Company Description
Do you enjoy building scalable data solutions that enable analytics, reporting, and business intelligence? We are looking for a Middle Data Engineer to join a remote team working on modern cloud-native data platforms and distributed data processing systems.
In this role, you will contribute to the development and optimization of ETL/ELT pipelines, data models, and cloud-based data architectures using technologies such as Databricks, Apache Spark, Snowflake, and AWS. This opportunity is ideal for engineers who want to deepen their expertise in modern Data Engineering practices while working on impactful business solutions.
We at Sigma Software value collaboration, continuous learning, and technical excellence. Joining our team means working in a supportive engineering environment with opportunities for professional growth, knowledge sharing, and long-term career development.
CUSTOMER
Our customer operates within a modern data-driven environment focused on analytics, reporting, and operational decision-making. The platform ecosystem combines cloud-native technologies, distributed processing frameworks, and scalable infrastructure to support reliable and high-performance data solutions.
PROJECT
The project focuses on building and maintaining scalable cloud-based data platforms that support analytics and business intelligence initiatives. The team develops ETL/ELT pipelines, optimizes data transformations, and enhances modern data architectures using distributed data processing technologies and cloud infrastructure.
Key Technologies: Python, SQL, Apache Spark, Databricks, Snowflake, AWS, ETL/ELT, CI/CD
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
São Paulo, SP, Brazil
- Willingness to learn and grow within modern Data Engineering environments - Ability to work independently in remote teams Company Description Do you enjoy building scalable data solutions that enable analytics, reporting, and business intelligence? We are looking for a Middle Data Engineer to join a remote team working on modern cloud-native data platforms and distributed data processing systems. In this role, you will contribute to the development and optimization of ETL/ELT pipelines, data models, and cloud-based data architectures using technologies such as Databricks, Apache Spark, Snowflake, and AWS. This opportunity is ideal for engineers who want to deepen their expertise in modern Data Engineering practices while working on impactful business solutions.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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