Data Engineer vs Software Engineer: Salary & Career Benchmarks in Brazil

In Brazil, Data Engineer and Software Engineer carry the same median salary in our 2026 live benchmark data: both sit at R$21K for a mid-level hire. That parity reflects overlapping seniority and market demand for both roles right now, not that the roles are interchangeable.

Seniority, tech stack, and location still move pay within each role's own range. Senior practitioners in either discipline can exceed the upper range through specialist skills. See the skills premium section below for the specific certifications and tools that push offers to the top of the range.

While both positions are vital to a modern tech organisation, Data Engineer and Software Engineer have fundamentally different daily workflows.

Data Engineer focuses primarily on designing, building, and maintaining scalable data pipelines and infrastructure. Day-to-day work revolves around writing Python or Scala, orchestrating workflows with Airflow or dbt, managing cloud data warehouses like BigQuery or Snowflake, and optimizing ingestion pipelines.

Software Engineer focuses on . Their time is spent .

Transitioning between these two paths is achievable but requires targeted upskilling.

Moving from Data Engineer to Software Engineer: Computer science degree or equivalent self-taught programming skills are the baseline. The Irish and UK market is largely language-agnostic at the point of entry, though Python, TypeScript, and Java dominate hiring volumes.

Moving from Software Engineer to Data Engineer: Strong Python skills, SQL fluency, and comfort with cloud platforms (AWS, GCP, or Azure) are the primary entry points. Software engineers transitioning in find the shift is mostly domain knowledge rather than new fundamentals.

Neither path requires starting from scratch. Professionals in both roles share underlying technology fluency; the gap is usually domain knowledge and specific tooling rather than core engineering fundamentals.

In Brazil in 2026, both roles are seeing demand, but with different drivers.

Data Engineer demand is extreme, particularly in E-commerce, fintech, and GCC data platform teams, led by employers such as Mercado Livre and iFood, building out the pipeline and modelling infrastructure that Brazil's AI investment wave depends on. Software Engineer demand is extreme, concentrated in .

Workspace flexibility significantly impacts total compensation value in Brazil.

Data Engineer roles score 78% on our remote-friendliness index (High). This is because pipeline and modelling work is largely asynchronous and tool-driven, and Brazilian scale-ups have kept these roles fully remote or hybrid to hire beyond São Paulo, drawing on talent in Belo Horizonte and Rio de Janeiro. Where in-office attendance is required, it is typically driven by cross-functional stakeholder alignment and model review sessions still pull teams into the office, and larger employers with a São Paulo headquarters tend to formalise this into a fixed hybrid schedule.

Software Engineer roles score 78% (High). is the primary driver of flexibility. When office days are required, it is usually for .