jobgether

Senior Data Engineer

Show

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in Brazil.

This role sits at the core of a data-driven organization, focused on building and maintaining scalable, reliable, and analytics-ready data systems that support critical decision-making. You will design and operate robust data pipelines, ensuring high data quality, performance, and accessibility for analytics and business stakeholders. The position involves close collaboration with cross-functional teams to translate business needs into well-structured data solutions. You will work in a modern cloud-based environment, contributing to the evolution of data architecture, tooling, and engineering standards. This is a hands-on technical role that requires strong ownership of production systems and the ability to operate effectively in ambiguous, fast-moving environments. It is ideal for a data engineer who is passionate about building trustworthy data platforms that empower analytics and business intelligence at scale.

Accountabilities:

  • Design, build, and maintain scalable production-grade data pipelines using Python and modern data engineering practices.
  • Develop and optimize batch ELT workflows, ensuring reliability, performance, and data accuracy across systems.
  • Integrate and process data from external APIs and multiple structured/unstructured sources.
  • Build and maintain data models using advanced SQL to support analytics, reporting, and business intelligence use cases.
  • Work with orchestration tools such as Airflow to schedule, monitor, and manage data workflows.
  • Collaborate closely with analytics teams using transformation tools such as dbt or similar frameworks.
  • Ensure production system reliability through monitoring, debugging, incident response, and root-cause analysis.
  • Contribute to data architecture decisions, documentation, and engineering best practices across the team.

    • Requirements:

    • 4+ years of experience in data engineering or closely related technical roles.
    • Strong hands-on experience building and maintaining production data pipelines using Python.
    • Advanced SQL skills and experience with data modeling for analytics use cases.
    • Experience working with data orchestration tools such as Airflow.
    • Familiarity with dbt or similar transformation frameworks and collaboration with analytics teams.
    • Experience integrating external APIs and working with cloud environments (e.g., GCP or equivalent).
    • Strong ownership mindset with experience supporting production systems, including monitoring and incident resolution.
    • Familiarity with CI/CD practices and version control systems such as GitHub.
    • Ability to work effectively in ambiguous environments and make pragmatic technical decisions.
    • Nice to have: experience with infrastructure-as-code tools (e.g., Terraform), data quality tooling, or BI/analytics workflows.

      • Benefits:

      • Remote-first role across Latin America with alignment to EST working hours.
      • Competitive compensation based on experience, location, and skill level.
      • Unlimited time off policy with minimum recommended vacation usage.
      • Paid company holidays, including a full company-wide break at year-end.
      • Access to free data skills training and professional development programs.
      • Health insurance or subsidies depending on country of residence.
      • Inclusive, mission-driven culture focused on learning, diversity, and impact.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1