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Based on data from placing over 4,000 engineers at over 2,500 companies. Updated quarterly.
If you're benchmarking data engineer salary in Brazil before opening a search, the figures here give you a concrete starting point. The bands cover junior through senior roles, priced in USD, so you can pressure-test your hiring budget before your first recruiter call.
Brazil's data engineering market has matured into production-grade work: engineers in São Paulo are shipping streaming pipelines in Apache Spark, orchestrating jobs in Airflow, modeling in dbt, and owning data quality across Snowflake and BigQuery deployments. The salary bands reflect that scope, with senior and mid-level medians both at $66,000 and junior roles starting at a median of $60,000, all figures in USD.
| Seniority | Median salary (USD/yr) | Typical range |
|---|---|---|
| Junior | $60,000 | $55,000-$67,000 |
| Mid | $66,000 | $54,000-$78,000 |
| Senior | $66,000 | $60,000-$72,000 |
All-in cost includes payroll, benefits, and compliance handled through Revelo.
Specialization and production ownership are the two biggest levers on a data engineer's salary in Brazil. An engineer who designs and maintains a streaming pipeline in Kafka or Spark Streaming commands more than one scoped to batch ETL in Airflow alone. The senior band runs $60,000 to $72,000, and engineers at the top of that range typically own the full stack: ingestion, transformation in dbt, warehouse optimization, and governance monitoring in production.
Mid-level engineers show the widest spread in the seniority table, ranging $54,000 to $78,000. That width reflects how differently companies define the role. An engineer writing transformation logic inside a managed warehouse gets scoped differently than one building the orchestration layer and debugging query performance across a lakehouse. If your mid-level hire carries analytics engineering duties alongside pipeline work, expect to price toward the top of that band.
São Paulo is the hub for production data engineering work in Brazil, and competition for engineers with hands-on experience in cloud-native warehouses such as BigQuery or Redshift is real. Brazil runs at UTC-3 year-round, placing São Paulo engineers 1 to 2 hours ahead of US Eastern. Morning standups, async code reviews, and incident handoffs fit cleanly within a shared workday, and the overlap is consistent because Brazil abolished daylight saving time in 2019.
The all-in cost for a mid-level or senior data engineer through Revelo is $94,000 per year. That figure covers engineer compensation, PEO protections, benefits, PTO, and local holidays. Compared with Revelo's benchmark for a comparable US-based senior hire at $160,000, the savings reach 59%.
That rate is published and transparent. Revelo's pricing calculator at revelo.com/pricing lets you generate a role-specific cost estimate before you open a search. There's no large upfront fee: the onboarding model uses a refundable security deposit equal to one month of the engineer's payment, credited against the final invoice, with fees then spread across 12 months.
Included in that $94,000: payroll and tax compliance handled through Revelo's PEO infrastructure, PTO and local holidays, coworking space access, Gympass, and laptop support. Engineers sign NDAs and IP assignment as part of onboarding, so your data models and pipeline code stay protected from day one.
Revelo delivers a vetted shortlist of Brazil-based data engineers within 72 hours of receiving your requirements. You review candidate dossiers that include recorded intro videos showing communication style and technical framing, then schedule live interviews with the engineers you want to meet. The average time to hire is 14 days from search start.
Each shortlist is built from a network of 400,000+ pre-vetted engineers across 18 LATAM countries, with only the top 2% of applicants clearing the screening process. For data engineering roles, that means candidates have already been assessed on production pipeline experience and hands-on tool proficiency across stacks like dbt and BigQuery, Spark and a lakehouse, or Airflow-orchestrated warehouse migrations.
The engagement starts with a risk-free 14-day trial, then runs month-to-month with no long-term contract and no cancellation penalty. If a hire doesn't work out, Revelo backfills with no penalty. You can explore the role and start reviewing candidates at revelo.com/hire/data-engineers.
Hiring in Brazil carries real compliance complexity: local labor law, tax registration, and benefits administration all require in-country infrastructure. Revelo operates as a PEO (Professional Employer Organization) in Brazil, handling payroll, tax compliance, and benefits under a co-employment structure. Engineers are paid in their local currency; you see a single all-in USD figure. Details on how this works are at revelo.com/payroll/brazil and revelo.com/peo/brazil.
Competitors that place engineers as 1099 contractors or route through layered third-party arrangements split compliance accountability and expose you to worker-classification risk. Revelo's PEO infrastructure consolidates payroll, benefits, and legal compliance under one vendor, simplifying your vendor stack and removing a category of risk that tends to surface quietly until it doesn't.
Figures are medians of signed Revelo placements, based on data from placing over 4,000 engineers at over 2,500 companies, in a US-remote employment context. We use the median (robust to outliers), trim implausible values, and only publish a seniority band or role breakdown where the underlying sample is deep enough to be reliable. Salaries are the engineer's compensation; all-in employer cost layers Revelo's payroll, benefits, and compliance on top.
The all-in cost for a mid-level or senior data engineer in Brazil through Revelo is $94,000 per year, covering engineer compensation, PEO protections, benefits, PTO, and holidays. You can generate a role-specific estimate using the pricing calculator at revelo.com/pricing.
The all-in rate includes engineer compensation, Revelo's PEO layer covering payroll and tax compliance, benefits, PTO, local holidays, coworking space access, Gympass, and laptop support. Engineers also sign NDAs and IP assignment as part of onboarding. There are no hidden placement fees; the figure in the salary guide is what you pay.
These are Brazil-based salaries, denominated in USD for comparison. The all-in cost figure adds Revelo's PEO layer on top of base compensation, covering compliance, benefits, and margin in a single annual number.
Revelo delivers a shortlist of pre-vetted Brazil-based data engineers within 72 hours of receiving your requirements. You review candidate dossiers with intro videos, interview who you want, and the average time to hire is 14 days. The engagement runs month-to-month after a risk-free 14-day trial, with no long-term contract.
Senior data engineers in Brazil earn a median of $66,000, with a range of $60,000 to $72,000 in USD. Engineers at the top of that range typically own the full data stack, including pipeline architecture, dbt modeling, and production data quality. The all-in cost for a senior hire through Revelo is $94,000 annually, compared with $160,000 for a comparable US-based senior hire.
Brazil runs at UTC-3 year-round, placing São Paulo engineers 1 to 2 hours ahead of US Eastern. Morning standups and async handoffs fit within a shared workday, and the overlap is consistent because Brazil abolished daylight saving time in 2019.