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PagBank

Senior Data Engineer

PagBank

Senior Data Engineer developing data solutions for financial services at PagBank. Collaborating with data science teams to create analytical data structures and support decision-making.

Posted 7/23/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in SQL and data modeling for analytics, with experience in ETL/ELT processes and data orchestration. Capable of implementing data governance and quality best practices while collaborating with cross-functional teams to support data-driven decision-making.

Highest-signal resume keywords
SQL ProficiencyData ModelingETL/ELT ProcessesData GovernanceAWS Analytic Services

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModelingSQLETLELTData AnalysisData GovernanceData QualityData MartData WarehouseData Lake
Soft Skills
CollaborationDocumentationAnalytical Thinking
Tools & Technologies
GitHubAirflowAWSRedshift
Industry Keywords
Data GovernanceData QualityPredictive ModelsBusiness RulesData Orchestration

Tech Stack

Tools & technologies
AirflowAmazon RedshiftAWSCloudETLSQL

About the role

Key responsibilities & impact
  • Develop data models that support exploratory analyses, dashboards, and predictive models.
  • Collaborate with Business and Data Science teams to structure analytical datasets (Data Marts, Views, Semantic Layers, Feature Store).
  • Design and optimize SQL queries for high-volume data analysis.
  • Document applied business rules.
  • Explore data to identify patterns, anomalies, and opportunities for process improvements.
  • Implement data governance and quality best practices (lineage, catalog, consistency).
  • Support product, marketing, and business teams in understanding data and enabling ad-hoc analyses.

Requirements

What you’ll need
  • Strong proficiency in SQL and data modeling for analytics
  • Familiarity with GitHub
  • Experience with ETL/ELT processes and data orchestration (Airflow).
  • Knowledge of Data Warehouse, Data Lake, or Lakehouse architectures.
  • Experience with cloud (AWS), especially analytic services (Redshift).

Benefits

Comp & perks
  • Meal and/or food allowance.
  • Health and dental insurance.
  • Life insurance.
  • Partnerships with TotalPass and ZenKlub.
  • Extended maternity and paternity leave.
  • Childcare assistance.
  • Up to 50% discounts on postgraduate and MBA programs from major institutions such as FIA, FAAP, and PUCRS.
  • No strict dress code: wear what makes you comfortable.
  • #TáDeParabéns: birthday day off.
  • Baby Gift: a gift for newborns.