Design and build scalable data architectures across warehouses, data lakes, and lakehouse environments.
Develop, maintain, and optimize ETL/ELT workflows and reliable data pipelines using dbt, Prefect, and AWS.
Collaborate with cross-functional teams to translate business needs into effective data models and solutions.
We are a technology-driven company building scalable data infrastructure to support strategic decision-making. Our culture emphasizes collaboration, engineering excellence, and continuous improvement.
Design, implement, and evolve scalable, secure, and reliable data architectures.
Develop and optimize ETL/ELT pipelines and cloud-based data platforms.
Collaborate with multidisciplinary teams to transform complex data into actionable insights.
A partner company is looking for a Data Engineer to design and build scalable data architectures. The company offers a fully remote work model and a collaborative, technology-driven environment.
Design and own end-to-end lakehouse architecture on Databricks using Medallion patterns.
Build and optimize scalable batch and streaming pipelines in PySpark, Spark SQL and Python.
Define data governance, model data for analytics, and mentor junior engineers.
GoFasti is a Talent-as-a-Service that connects world-class developers and designers from Latin America with companies worldwide. The company emphasizes remote work and continuous learning, seeking proactive and detail-oriented professionals.
Design, develop, and evolve scalable data solutions within cloud environments using Databricks.
Build and optimize data pipelines for large-scale processing with Python, PySpark/Spark, SQL, and Delta Lake.
Apply best practices in data governance, performance, and orchestration while working autonomously with data teams.
The hiring company specializes in data engineering and cloud-based solutions, using Databricks and modern data technologies to build scalable data platforms. It fosters a collaborative culture with continuous learning, innovation, and autonomy for its employees.
Design, build, and maintain data pipelines and analytics solutions in Databricks.
Write and optimize SQL and Python code for data processing and analysis.
Apply DevOps practices and CI/CD methods to data workflows.
GoFasti is a Talent-as-a-Service platform connecting world-class developers and designers from Latin America with global companies. The company values proactive, communicative professionals and focuses on bridging talent with first-class clients.
Design and manage AWS cloud data platforms using services like Glue, EMR, Lake Formation, and CloudWatch.
Develop and optimize data pipelines with Python, PySpark, SQL, and open table formats such as Apache Hudi or Iceberg.
Automate infrastructure with Terraform and collaborate with distributed teams to ensure data quality, security, and performance.
The hiring partner company builds scalable AWS cloud data platforms and modern data solutions. It maintains a fully remote, international culture with collaborative engineering teams.
Own relational and lakehouse data for a higher-education platform's program, student, and enrollment data.
Design schemas, stored procedures, and performance tuning across SQL Server and Databricks.
Implement data governance with Unity Catalog, quality checks, and CI/CD for database changes.
CI&T helps large enterprises turn AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated solutions. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact.
Design and tune schemas, stored procedures, views, functions, and indexes for transactional and analytical data layers.
Build and maintain Databricks pipelines (PySpark/Spark SQL) and dbt models using Kimball dimensional modeling.
Implement data governance, quality checks, and sensitive data protection while mentoring mid-level developers.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across more than 25 countries, the company fosters a collaborative, diverse, and inclusive work environment focused on excellence.
Architect and maintain robust data ingestion pipelines that feed both application and analytics.
Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data.
Build reliable, automated pipelines with data quality tests, monitoring, and safe reprocessing.
GoFasti is a Talent-as-a-Service company that bridges world-class developers and designers from Latin America with first-class companies globally. They focus on remote work and building high-performing, autonomous teams.
Own the design, modeling, and optimization of a large-scale Snowflake and dbt platform.
Engineer billion-row incremental models, solve complex SQL challenges, and enforce data governance.
Partner with software engineers and establish data modeling standards across production environments.
Truelogic is a nearshore staff augmentation company headquartered in New York, delivering technology solutions to U.S. companies for over two decades. Its team of 600+ professionals across Latin America focuses on digital transformation and values well-being, autonomy, and work-life balance.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, and semantic layers.
Engineer modern data pipelines and models, writing production-ready code in SQL, Python, and Spark with Git and CI/CD best practices.
Aimpoint Digital is a fully remote AI and Data consultancy that partners with clients to design end-to-end analytical solutions and AI-ready data architectures. The company is a dynamic, growing team that blends modern tools with proven principles to deliver optimal data engineering outcomes.
Execute end-to-end migration of ~1,000 datasets to Snowflake, ensuring reliable data delivery.
Modernize orchestration from Airflow 2 to Airflow 3 and migrate Hive structures to Apache Iceberg.
Optimize pipelines using Python, Spark, PySpark, Kafka, and AWS S3 with a focus on performance.
The company is modernizing legacy data infrastructure to a scalable, high-performance environment, migrating 1,000 datasets to Snowflake. They value technical excellence, autonomy, and efficient delivery in a globally distributed engineering culture.
Build, operate, and optimize robust data pipelines in Databricks (Python, SQL) using the Medallion Architecture.
Manage governance, access rights, and data lineage with Unity Catalog and deliver data via Power BI dashboards and Genie.
Automate deployments with Terraform and CI/CD pipelines, and leverage AI coding assistants like Claude Code or GitHub Copilot.
We are an agile IT software house with around 80 colleagues. We develop software solutions for industry and smart factory, from IoT platforms to agentic AI, turning complex industrial data into practical value.
Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric and Databricks.
Build reliable ETL/ELT processes for structured and unstructured data and ensure production-ready integration solutions.
Collaborate with business stakeholders to translate data requirements into technical solutions and take end-to-end ownership.
This company is a technology organization seeking a Senior Data Engineer to build scalable data pipelines on Azure and Databricks. It offers a fully remote, collaborative environment with global stakeholders and a focus on engineering ownership.
Translate business and stakeholder needs into scalable data engineering and data science solutions.
Partner with cross-functional teams to understand requirements, prioritize opportunities, and deliver data-driven outcomes.
Build and maintain ETL pipelines, data integrations, and technical documentation for data assets.
Stryker is a leading medical technology company driven to make healthcare better, offering innovative products in orthopaedics, medical and surgical, and neurotechnology. Named one of the World's Best Workplaces, it is a large global organization focused on improving patient and hospital outcomes.
Design and implement robust data architecture and BI solutions to support analytics and reporting.
Collaborate with data teams and stakeholders to optimize data pipelines and ensure data governance.
Drive strategic insights through advanced data modeling and visualization tools.
Contentstack is a composable digital experience platform that empowers brands to create impactful digital content. The company fosters a culture grounded in care, integrity, and innovation, with a diverse and connected global tribe.
Design and implement scalable, high-performing data pipelines and optimize data architecture.
Build and deploy cloud-native solutions using Azure Data Services, Databricks, and other Big Data technologies.
Collaborate across teams to support data needs and ensure architecture supports ongoing and future initiatives.
Redcare Pharmacy is Europe's No.1 e-pharmacy, powered by passionate teams and cutting-edge innovation. The company fosters a healthy collaborative work environment where every employee feels valued and inspired to contribute to the vision 'Until every human has their health'.
Build and operate data pipelines into Google BigQuery using incremental loading and change data capture.
Develop bronze, silver, and gold datasets for enterprise reporting and analytics.
Partner with BI, data science, engineering, and business teams to deliver high-quality data.
Vultr provides high-performance cloud infrastructure including compute, GPU, bare metal, and storage solutions across 33 global data centers. It has grown into a leading privately-held cloud infrastructure company, serving hundreds of thousands of customers in 185 countries, with a $3.5 billion valuation.
Own the middle layer of the data pipeline, integrating Quantum interaction data with account, device, and operational data sources.
Build and maintain ETL workflows, develop AWS processing resources, and prepare reliable datasets for Tableau.
Investigate data discrepancies, troubleshoot pipeline issues, and collaborate with engineering leads and product owners as data complexity grows.
Blend is a premier AI services provider that partners with clients to create meaningful impact through data science, AI, technology, and people. The company fosters a culture of innovation and collaboration, dedicated to developing world-class talent and delivering data-driven strategy.