Source Job

• Design, develop, and maintain scalable and robust data pipelines.
• Create solutions for data ingestion, transformation, and modeling using Databricks, Spark/PySpark, Cloudera, and Azure Data Factory (ADF).
• Ensure the quality, integrity, and usability of data throughout the entire pipeline.

CI&T specializes in technological transformation, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters worldwide, they have partnered with over 1,000 clients during their 30-year history, with a focus on Artificial Intelligence.

Design, build, and maintain a robust, self-service, scalable, and secure data platform. Create and edit data pipelines, considering business logic, levels of aggregation, and data quality. Enable teams to access and use data effectively through self-service tools and well-modeled datasets.

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America, with a diversified portfolio of brands and solutions across different countries.

Work with data end-to-end, exploring, cleaning, and assembling large, complex datasets. Analyze raw data from multiple sources and identify trends and patterns, maintaining reliable data pipelines. Build analytics-ready outputs and models that enable self-service and trustworthy insights across the organization.

Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions for over two decades.

As a Senior Data Engineer, shape a scalable data platform that drives business insights. Design and maintain robust data pipelines and collaborate with cross-functional teams. Tackle complex data challenges, implement best practices, and mentor junior engineers.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

• Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently
• Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability
• Implement and maintain data quality measures throughout the data lifecycle

CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they have a culture that values diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.

Develop analytical data products using Airflow, DataProc, PySpark, and BigQuery on the Google Cloud Platform, with solid data warehouse principles. Build data pipelines to monitor data quality and analytical model performance. Maintain the data platform infrastructure using Terraform and develop, evaluate, and deliver code through CI/CD.

CESAR is an innovation and education center that has been training people and driving organizations for almost 30 years, leveraging their digital strategies.

• Partner with our customer teams to develop engineering plans to implement our health system partners
• Build and support robust batch and streaming pipelines
• Evolve the maturity of our monitoring systems and processes to improve visibility and failure detection in our infrastructure

Paradigm is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm’s seamless infrastructure implemented at healthcare provider organizations, will bring potentially life-saving therapies to patients faster.

• Design, develop, and maintain reliable, scalable ETL/ELT pipelines across ingestion, transformation, storage, and consumption layers.
• Build and manage data models and transformations using dbt with strong testing and documentation practices.
• Contribute to architectural decisions, technology selection, and data engineering standards.

Vitable is a health benefits platform making healthcare better for employers of everyday workers.

• Develop and maintain scalable data pipelines and ETL processes.
• Design, build, and optimize data models and databases.
• Perform data analysis, data mining, and statistical modeling.

We’re supporting a global fintech and digital currency platform in their search for a Senior Data Engineer to help scale and optimize their analytics and data infrastructure.

• Design, build, and maintain scalable and reliable data pipelines.
• Develop and maintain ETL data pipelines for large volumes of data, writing clean, maintainable, and efficient code.
• Work closely with product managers, data scientists, and software engineers to create and prepare datasets from disparate sources.

Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights.

• Work alongside Caylent’s Architects, Engineering Managers, and Engineers to deliver AWS solutions.
• Build solutions defined in project backlogs, writing production-ready, well-tested, and documented code across cloud environments.
• Participate in Agile ceremonies such as daily standups, sprint planning, retrospectives, and demos.

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). They are a global company and operate fully remote with employees in Canada, the United States, and Latin America fostering a community of technological curiosity.

• Design, build, and maintain robust and scalable data pipelines from diverse sources.
• Leverage expert-level experience with dbt and Snowflake to structure, transform, and organize data.
• Collaborate with engineering, product, and analytics teams to deliver data solutions that drive business value.

Topstep is an engaging working environment which ranges from fully remote to hybrid and they foster a culture of collaboration.

• Coletar dados de diversas fontes internas e externas.
• Executar tarefas de limpeza, transformação e integração de dados.
• Colaborar com membros da equipe em projetos de desenvolvimento e manutenção de pipelines de dados.

Vitta is responsible for the health and insurance vertical of Grupo Stone Co. They are passionate about people and innovation, aiming to significantly impact healthcare in Brazil with a high-level team.

• Build and optimize Sauce's lakehouse architecture using Azure Databricks and Unity Catalog for data governance.
• Create and maintain data quality tests and improve existing alerting setups.
• Own data warehouse by connecting data sources, and maintaining a platform and architecture in coordination with R&D infrastructure and operations teams.

Sauce is a premier restaurant technology platform that helps businesses grow with our Commission-Free Delivery & Pickup structure and proprietary delivery optimization technology.

Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks. Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows. Lead large-scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability.

This position is posted by Jobgether on behalf of a partner company.

• Support production systems and help triage issues during live sporting events
• Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
• Integrate large and complex real-time datasets into new consumer and enterprise products

Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. They're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.

Build and own the data foundation, ensuring models are performant, well-tested, and documented; design and maintain the Snowflake data warehouse and ingestion processes; and use modern data modeling best practices to create core entities and datasets. Implement testing and observability for analytics pipelines. Act as data liaison between Engineering, GTM, and Finance ensuring consistent metric definitions and proper system instrumentation.

Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages.

• Design, develop, and maintain robust data processes and solutions.
• Develop and maintain data models, databases, and data warehouses.
• Collaborate with stakeholders to gather requirements and provide data solutions.

Highmark Health is a national, blended health organization that includes one of America’s largest Blue Cross Blue Shield insurers.

The Sr Data Engineer, DevX creates the best developer experience for data and application engineers at Basis. They design, implement and maintain deployment and ETL pipelines for data products. Integrate diverse data sources and vendor products, including databases, APIs, and third-party services.

Basis Technologies empowers agencies and brands with cutting-edge software that automates digital media operations, offering flexible work options across the U.S.

• Design, build, and maintain highly scalable, reliable, and efficient ETL/ELT pipelines.
• Ingest data from a multitude of sources and transform raw data into clean, structured, and AI/ML-ready formats.
• Work closely with data scientists, machine learning engineers, and business analysts to understand their data needs.

Valtech exists to unlock a better way to experience the world by blending crafts, categories, and cultures, helping brands unlock new value in an increasingly digital world.