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At Docplanner Group, we’re on a mission to help people live longer, healthier lives. As the world’s largest healthcare platform, each month, we connect 24 million patients with 280k doctors across 13 countries. Our marketplaces, SaaS and AI tools simplify daily tasks and help doctors, clinics and hospitals work more efficiently. Real impact – We help doctors help patients. Your work truly makes a difference. At scale, yet agile – 3,000+ employees, but still fast, flexible, and hands-on. Shape the future, sustain growth – Make a difference now and build for long-term success.
Data Engineer
Location
Brazil
Posted
60 days ago
Salary
0
Seniority
Mid Level
Job Description
Data Engineer
DocPlanner
Role Description We are looking for a Data Engineer to join our team. Your responsibilities will include: - 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. Qualifications - Business English (minimum 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; Requirements - 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. Benefits - A salary adequate to your experience, with 100% transparency; - Meal Voucher worth R$800,00 a month, with options for Food Voucher; - Transportation vouchers for commuting; - Partnerships Club with agreements and discounts for educational institutions and banking benefits; - Referral Program offering up to R$600 per person who stays with us for more than 6 months; - Remote or hybrid work model; - Working hours from Monday to Friday, 9am to 6pm; - Time bank for extra hours worked; - Additional paid holiday on your birthday and work anniversary; - Special leave policies for personal events; - Medical and Dental Assistance along with Group Life Insurance; - Access to the iFeel app for emotional support; - ApoioPass for professional support in various areas; - Gympass for you and 3 other people; - Pet Plan extending care to your pet; - Payroll loan services, eligible after 6 months of employment.
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Applied Systems, Inc.Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.
Job Description Applied Systems, Inc., a worldwide leader in insurance technology, is currently searching for a Data Migration Engineer to join our Data Services team. This role is responsible for migrating customer data from competitor and legacy systems into Applied Systems SaaS products while ensuring business continuity, data quality, and customer satisfaction. As a strategic contributor within Data Services, the Data Migration Engineer works closely with new and existing customers to deliver high quality, customized data migration solutions that support unique business needs. The role collaborates cross functionally with teams across Onboarding and Success Services, Development, Operations, Solution Services, and Support to deliver complex, end-to-end migration outcomes. 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What You’ll Do - Own and execute assigned components of end-to-end data conversion and migration efforts from legacy systems to Applied Systems SaaS products, producing sample and final deliveries using SQL-based tooling - Perform data extractions, acquisition mergers, transformations, and data cleanup/quality services to support a wide range of customer scenarios and business requirements - Develop standardized, efficient, and repeatable data scripts and workflows; perform audits and validation to ensure data accuracy, integrity, and consistency throughout the migration lifecycle - Work directly with customers and internal stakeholders to understand requirements, manage expectations, and deliver migration outcomes that maintain business continuity - Contribute to a global delivery model by completing work independently while ensuring smooth handoffs and continuity across teams operating in different regions and time zones - Remain adaptable to changing project plans and timelines, adjusting execution approaches as rescheduling or contingency planning is required - Collaborate closely with Development teams to support testing, defect resolution, enhancements, and implementation of new or evolving solutions, while maintaining clear and accurate Data Services documentation - Conduct ongoing analysis of customer data and competitor system structures, identifying opportunities to improve transformation efficiency and solution quality - As Data Services tooling evolves, increasingly leverage cloud-based data platforms such as BigQuery to support migration workflows and downstream integrations - Utilize emerging automation and intelligent tooling to improve migration speed, scalability, and quality, and provide feedback that helps shape how these tools are adopted responsibly - Contribute to custom solution delivery and continuous improvement initiatives that advance Data Services capabilities, tooling, and processes What You’ll Need to Succeed We’re looking for someone who: - Can work remotely or from an Applied Systems office Your experience should include some or all the following: - Strong foundational knowledge of database structures and SQL, with demonstrated experience applying these skills in real world data migration, integration, or transformation scenarios - Solid understanding of ETL concepts, data mapping, and data quality best practices - Comfort working in a collaborative, global team environment where work is shared across regions to maintain continuous delivery - Ability to manage multiple competing project timelines while remaining highly detail oriented and customer focused - Strong sense of ownership and initiative, balanced with the ability to align work to shared team standards, processes, and delivery goals - Clear and effective communication skills, including the ability to collaborate comfortably with engineering teams and non‑technical stakeholders - Bachelor’s degree or equivalent practical experience in Information Systems, Computer Science, Data Science, Software Engineering, or a related discipline - We know that talent comes from all backgrounds and experience levels. 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We know managers are often the single-largest driver of employee satisfaction and growth, and our talent is our biggest asset. Because of that, we’ve identified consistent expectations for all of Guild’s people managers — helping you know what to expect from your experience here. ---- Senior Data & AI Platforms Engineer The Opportunity Guild is looking for a Senior Data & AI Platforms Engineer to join a small, high-performing team building the backbone of our data ecosystem. In this role, you will design, build, and scale the data infrastructure that powers analytics, operational insights, and product innovation across Guild. This is a high-impact, end-to-end ownership role for someone who brings a platform mindset and wants to shape how data drives decisions across the organization. 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You are probably a strong candidate for this role if you've accomplished: - Built and maintained production-grade data pipelines using tools like Snowflake, dbt, and Fivetran in a fast-paced, high-growth environment. - Designed scalable data models and warehousing solutions that connected technical infrastructure with commercial or product outcomes. - Worked cross-functionally with analytics, product, or business teams to translate data needs into reliable, self-serve solutions. - Navigated complex source systems (relational databases, NoSQL, APIs) and built integrations that handled messy, real-world data at scale. Here are the skills/competencies you have that will be needed to achieve the expected outcomes: - Expert-level SQL (window functions, CTEs, performance tuning) and Python (data pipelines, API integrations, automation). - Hands-on experience with Snowflake, dbt, and Fivetran, plus comfort navigating Unix systems, Terraform, and Git. - Deep familiarity with relational databases (Postgres, MySQL, AuroraDB) and NoSQL systems such as DynamoDB. - Strong understanding of data modeling, warehousing best practices, and ETL/ELT frameworks. - Experience with CDC (Change Data Capture) patterns, data governance, or CI/CD practices in a data engineering context. - Proven ability to work cross-functionally and connect technical design with commercial objectives. We are committed to equal pay for equal work and believe in compensation transparency. All salary ranges are standardized nationwide and will not vary by region. This role offers a competitive total compensation package, including a base salary of $180,000 - $230,000 and stock options. Compensation offered will be based on a combination of factors such as experience, competencies, and internal equity. Posting Date: 4/9/26 This role will be open for a minimum of 3 days. Guild partners with the country’s most innovative employers, including Chipotle, Target, Walgreens, JPMorgan Chase, Hilton, Spectrum, PepsiCo, Tyson, and more, to build the talent needed for today and a resilient workforce for tomorrow. Guild helps employers identify, develop, and mobilize internal talent, enabling workers to gain skills for in-demand roles and companies to stay agile. By connecting employees to real-world learning, coaching, and career support, and providing companies with actionable talent insights, Guild transforms all talent into high-impact contributors and positions companies for long-term, sustainable growth. For more information, visit https://www.guild.com. Guild is a female-founded, certified B Corp. The company has been recognized by Fortune’s Change the World list (2021, 2025), the Forbes Cloud 100 (2020–2025), Great Place to Work (2022–2025), CNBC’s Disruptor 50 (2021–2024), TIME’s 100 Most Influential Companies (2022), Inc.’s Best-Led Companies (2021), Fast Company’s World Changing Ideas (2020), and B Lab’s Best for the World (2019), among many others. Guild is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you have a disability or special need that requires accommodation, please let your recruiter know. We currently offer the following benefits: - Access to low-cost, high-quality health care options through Collective Health and Kaiser (due to coverage limitations, Kaiser is currently only available in CA & CO) - Access to a 401k to help save for the future - Vacation policy to rest and recharge - 8 days of fully-paid sick leave, to take the time to heal and or recover - Family-friendly benefits, including 12 weeks of parental leave for non-birthing parents and 18-20 weeks for birthing parents; 4-week ramp-up period for when employees return from a leave of 6 weeks or more; as well as employer-paid short-term and long-term disability, employer-sponsored life insurance, fertility and caregiving benefits. - Well-rounded wellness benefits including free and low cost mental health resources and financial wellbeing support services - Education benefits and tuition assistance to help your future development and growth PRIVACY NOTICE I understand that I am applying for employment with Guild and am being asked to provide information in connection with my application. I further understand that Guild gathers this information through a third-party service provider and that Guild may use other service providers to assist in the application process. Guild may share my information with such third-party service providers in connection with my application and for the start of employment. I understand and agree to Guild's use of my information in accordance with Guild's Privacy Policy and, for applicants that are residents of the State of California, Guild's Applicant Privacy Notice and California Notice at Collection.



