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Mid Data & Software Engineer

São Carlos, SP, Brazil

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Pay
Pay not listed
Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
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What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Experience with DBT or other data transformation frameworks.
  • Solid experience in software or data engineering.
  • Knowledge of concurrent and parallel programming patterns.
  • Hands-on experience with cloud-native data platforms (AWS, GCP, or Azure), including services such as S3, Glue, Athena, or equivalent.
  • Expertise in building and optimizing large-scale data pipelines using Scala and Apache Spark.
Qualification wording
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Experience with DBT or other data transformation frameworks.
Solid experience in software or data engineering.
Knowledge of concurrent and parallel programming patterns.
Hands-on experience with cloud-native data platforms (AWS, GCP, or Azure), including services such as S3, Glue, Athena, or equivalent.
Expertise in building and optimizing large-scale data pipelines using Scala and Apache Spark.
Education & alternatives
What we expect from you - Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - Solid experience in software or data engineering.
Apply at Experian

Posting record

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Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
1
Reposted
once since Aug 11, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 54.

From 10,824 similar postings that came down. Coming down is not always a hire.

Experian is hiring

25 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 36% of open jobs were reposted
Hiring record

See how this role fits your experience

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.

  • Java
  • Python
  • Rust
  • Scala
  • AWS
  • Azure
  • dbt
  • GCP
  • S3
  • Spark
Where the posting names them
- Expertise in building and optimizing large-scale data pipelines using Scala and Apache Spark. - Experience with functional programming (Scala) or languages such as Java, Python, or Rust. - Familiarity with modern data platform architectures and large-scale data ecosystems.
Your key responsibilities - Design, develop, and maintain large-scale data pipelines using Scala, Spark, and cloud-native technologies, ensuring high performance, scalability, and reliability. - Solve complex data engineering challenges by designing efficient, resilient distributed systems and optimizing data processing workflows.
- Knowledge of concurrent and parallel programming patterns. - Expertise in building and optimizing large-scale data pipelines using Scala and Apache Spark. - Experience with functional programming (Scala) or languages such as Java, Python, or Rust.
- Solid experience in software or data engineering. - Hands-on experience with cloud-native data platforms (AWS, GCP, or Azure), including services such as S3, Glue, Athena, or equivalent. - Strong understanding of distributed systems, resiliency patterns, data partitioning, and efficient data access strategies.
Nice to have - Experience with DBT or other data transformation frameworks. - Knowledge of concurrent and parallel programming patterns.

Your next step

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Has Experian posted this job before?

Yes. We’ve followed one other Mid Data & Software Engineer job there since August 2026. It came down after 85 days.

  1. São CarlosCame down after 85 days, first seen Aug 11
  2. This jobUp 0 days so far, first seen Nov 4

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

Job Description

We are looking for a Software Engineer to design, build, and evolve highly scalable and resilient data platform solutions that power Experian Marketing Services’ core products. In this role, you will work on large-scale, cloud-native data pipelines, optimize distributed processing systems, and ensure the reliability and performance of petabyte-scale workloads. You will operate within agile value stream teams, applying strong engineering practices and collaborating with global stakeholders to deliver high-quality, business-critical data solutions.

Your key responsibilities

  • Design, develop, and maintain large-scale data pipelines using Scala, Spark, and cloud-native technologies, ensuring high performance, scalability, and reliability.
  • Solve complex data engineering challenges by designing efficient, resilient distributed systems and optimizing data processing workflows.
  • Contribute to production-grade data platforms, delivering high-quality, tested code and supporting end-to-end feature development.
  • Ensure software quality through clean, testable, and well-documented code, code reviews, and adherence to engineering standards.
  • Collaborate within agile value stream teams, working closely with engineers, product owners, and cross-functional stakeholders to deliver aligned technical solutions.
  • Provide technical guidance to peers, contributing to architecture discussions, code reviews, and promoting best engineering practices.
  • Support release and operational processes, including deployments, monitoring, alerting, and continuous improvement of system reliability.
  • Drive improvements in performance, cost efficiency, and scalability of data processing workloads.

Qualifications

What we expect from you

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Solid experience in software or data engineering.
  • Hands-on experience with cloud-native data platforms (AWS, GCP, or Azure), including services such as S3, Glue, Athena, or equivalent.
  • Strong understanding of distributed systems, resiliency patterns, data partitioning, and efficient data access strategies.
  • Experience designing and operating highly parallelized data workloads.
  • Proficiency with Git-based version control systems (GitHub, Bitbucket, etc.).
  • Familiarity with agile methodologies and collaborative development in multi-team environments.
  • Strong communication skills, with the ability to contribute in technical discussions and support peer development.
  • Advanced English proficiency and availability to travel to São Carlos/SP when needed.

Nice to have

  • Experience with DBT or other data transformation frameworks.
  • Knowledge of concurrent and parallel programming patterns.
  • Expertise in building and optimizing large-scale data pipelines using Scala and Apache Spark.
  • Experience with functional programming (Scala) or languages such as Java, Python, or Rust.
  • Familiarity with modern data platform architectures and large-scale data ecosystems.

Additional Information

At Serasa Experian, we believe that diversity is essential for a healthier and more innovative work environment, where everyone can share experiences and express their ideas. That’s why we promote several initiatives to support inclusive recruitment and the professional development of our people.

We also have our affinity groups, created to empower and support individuals from underrepresented groups: ExperianPride (LGBTQIAPN+ community), Ubuntu (racial equity), Women in Experian (gender equity), Aspire (people with disabilities), and Connecting Generations (generations).

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Company Description

Experian is a global data and technology company that powers opportunities for people and businesses around the world. We operate across a wide range of markets, including financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people and in advanced new technologies to unlock the power of data. We have an incredible team of 25,200 employees across 32 countries.

Our uniqueness is valuing yours. Experian’s people-centric, inclusive, and purpose-driven culture has been recognized with several awards — including World’s Best Workplaces™ 2025 (Fortune Global Top 25) and Great Place To Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers site to understand why. Experian is also proud to be an equal opportunity and affirmative action employer.

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São Carlos, SP, Brazil

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