About The Position

Welcome to the good side of tech 👋 You might have heard about us, but with a different name: Doctoralia. It all started 12 years ago when we asked ourselves: is anyone in healthcare thinking about patients? We jumped in and we empowered patients by giving them access to leave and read reviews about their visit. We then provided doctors with the technology to manage bookings easily and save time, so they could devote themselves to what they always wanted: treating patients. And today is the day in which we ask you: wanna join us in the next step of making the healthcare experience more human? Docplanner at scale We are leaders in 13 countries so far, and more than 90 million patients trust us every month. 300k+ specialists believe in us and our product, and so do leading venture capital funds such as Point Nine Capital, Goldman Sachs Asset Management and One Peak Partners. And yet, employing over 2.500 people all over the globe, we managed to keep the startup-mindset we started with over 10 years ago. How does Docplanner Tech fit here? At Docplanner Tech we are a diverse group of over 400 people working in Engineering, Data, and Product teams. We are responsible for building the product for all locations. Many of us have been here for over 5 years, yet we still welcome each new person with great joy and excitement. We could tell you about us, but we will let our reviews on Glassdoor speak for themselves. In case you’d like to see how it feels to be 100% yourself at work, here’s a video of us . And why should you join us? Because it feels good to tell your family and your friends how you made the world a little bit better. You go to bed knowing that what you do matters, and that your talents align with your beliefs. We want to make the healthcare experience more human, and that starts with you being you. We believe that taking the diversity of human experience into account makes a better healthcare experience for all . We’re not just different: we embrace diversity. We will encourage you to come to work your whole self, and that includes not coming to the office at all if you prefer not to, as we're 100% remote friendly.

Requirements

  • Business English (minimun B2 Level);
  • 3 to 5 years of experience as a Data Analyst, Data Engineer, or similar roles, focused on Data Engineering and BI (mid-level);
  • Experience with relational and/or analytical databases such as Amazon Redshift, MySQL, SQL Server, Oracle, or PostgreSQL;
  • Strong SQL skills and experience with Python for building pipelines, automations, and supporting analysis;
  • Solid knowledge of database concepts: ER models (conceptual and logical); Relational and dimensional data modeling; Table structures, data types, and formats (CSV, JSON, Parquet); DBMS knowledge;
  • Hands-on experience with ETL/ELT processes and tools;
  • Experience with BI tools, including Apache Superset, Tableau, Power BI, or Looker Studio, focused on dashboard creation and maintenance;
  • Experience with version control (Git);
  • Good communication, organization, and teamwork skills;
  • Analytical mindset with a focus on problem-solving and continuous improvement
  • Bachelor’s degree in Information Systems, Computer Science, Software Engineering, Computer Engineering, or related fields;

Nice To Haves

  • Experience or knowledge in Cloud Computing (AWS, Azure, GCP, or OCI);
  • Experience with cloud data services (Data Lake, Data Warehouse, orchestration);
  • Experience with pipeline orchestration tools (Airflow, Prefect);
  • Knowledge of modern data architectures (Data Lake, Lakehouse);
  • Experience with agile methodologies (Scrum, Kanban);
  • Basic knowledge of DataOps and data observability best practices

Responsibilities

  • Develop, maintain, and optimize data pipelines for data ingestion, transformation, and availability;
  • Implement and manage ETL/ELT processes, ensuring data quality, integrity, and consistency;
  • Collect, organize, and structure data from different sources (databases, APIs, files, etc.);
  • Perform relational and dimensional data modeling to support analytical and BI needs;
  • Work with relational and analytical databases, optimizing queries and performance;
  • Support the development and maintenance of Data Warehouses and Data Marts;
  • Create, enhance, and maintain existing dashboards and reports, ensuring performance, usability, and alignment with business rules;
  • Support and enhance BI tools such as Tableau, Looker Studio, and Apache Superset;
  • Develop automations and routines for data processing and control;
  • Monitor pipelines and data flows, identifying failures and proposing continuous improvements;
  • Document processes, architectures, pipelines, dashboards, and business rules;
  • Work closely with data analysts, data scientists, and stakeholders to ensure accessible, reliable, and well-presented data;
  • Participate in data projects end-to-end, including delivery, maintenance, and evolution of solutions;
  • Support technical and functional presentations for both technical and non-technical audiences.

Benefits

  • A salary adequate to your experience. The range is broad so that we can accommodate our roles for all levels of experience, but we will show you the career ladder to explain where we see your skills and impact within the company. Your salary will be, now and always, 100% transparent to you;
  • Meal Voucher worth R$800,00 a month, or Food Voucher for the same amount, or half and half;
  • Transportation vouchers;
  • Partnerships Club with agreements and discounts ranging from educational institutions (colleges and languages) to exclusive banking benefits;
  • Refer a friend or relative program with up to R$600 per person who stays for more than 6 months;
  • Remote or hybrid work model;
  • Time bank for extra hours worked;
  • Additional paid holiday on your birthday and work anniversary;
  • 10 days off for bereavement;
  • 2 days off for pet loss;
  • 7 days of rest for marriage;
  • 1-month paternity leave;
  • 6 months maternity leave;
  • Medical and Dental Assistance;
  • Group Life Insurance;
  • Access to the iFeel app for emotional comfort;
  • ApoioPass offers free professional support and guidance in the psychological, legal, economic, and social areas;
  • Gympass for you and 3 other people;
  • Pet Plan;
  • Payroll loan services, eligible after 6 months of employment.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service