Design, implement, and maintain end-to-end data pipelines (ELT/ETL) with focus on reliability, reprocessing, and cost-efficiency.
Orchestrate data loads using Airflow (AWS) and serverless functions, model data in Snowflake (bronze/silver/gold) and develop transformations with dbt.
Build integrations and services in Python with FastAPI, write high-performance SQL, and ensure data quality, observability, security, and documentation.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across over 25 countries, they collaborate to build solutions with real impact.
Design, build, and maintain scalable data pipelines and automation systems for cloud cost intelligence.
Develop robust datasets and data models enabling cloud cost visibility, attribution, usage analysis, and performance insights.
Partner with Engineering and Finance teams to support cloud cost optimization initiatives and ensure strong data quality and reliability.
A technology company focused on cloud cost visibility and optimization, building data foundations that help teams understand and manage cloud spending. It offers a remote-first, collaborative environment with opportunities to work alongside experienced engineers and business stakeholders.
Lead enterprise data platform migration and modernization projects.
Develop and optimize DBT models within Snowflake environments.
Design scalable data solutions and ensure data quality and governance.
Coforge is a global IT services and consulting company that delivers technology solutions to enterprises. It employs thousands of professionals and fosters a culture of innovation and collaboration.
Build and maintain data pipelines and infrastructure for digital analytics environments, ensuring robust ingestion, transformation, and availability of data.
Work closely with Martech experts to integrate data from sources like Google Analytics and Customer Data Platforms.
Manage platform data and technology, ensuring integrity, consistency, and alignment with business needs.
CI&T helps large enterprises harness AI for real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across over 25 countries, the company fosters a collaborative and innovation-driven culture focused on digital transformation.
Identify, design, and implement internal process improvements to automate manual processes and optimize data delivery.
Collaborate with data and analytics experts to enhance functionality in data systems.
Develop ETL jobs using MSSQL, Snowflake, Talend, and other tools to move data from OLTP databases to the Data Lake.
GreenSky is a financial technology company that provides innovative lending solutions. The company fosters a culture of collaboration and data-driven decision-making.
Design, build, and maintain reliable data pipelines using SQL and Python.
Develop and optimize data models in Snowflake or equivalent cloud data warehouses.
Diagnose and resolve data quality issues and support production operations.
Our partner company is seeking a data-focused engineer to build clean, reliable data solutions. They emphasize collaboration, continuous learning, and technical craftsmanship with a remote-first culture.
Develop and maintain data pipelines for data ingestion, transformation, and processing using Python and SQL.
Collaborate with Data Engineers, Analysts, and global stakeholders to deliver effective data solutions.
Apply modern data engineering practices, including Git, CI/CD, and cloud platforms like Azure and Databricks.
They partner with global clients to deliver large-scale digital transformation initiatives through data solutions. They foster a remote, multicultural environment emphasizing technical growth, collaboration, and continuous improvement.
Design, develop, and maintain scalable data solutions using Microsoft Azure ecosystem.
Build and optimize ETL/ELT pipelines with Azure Data Factory, Databricks, and Synapse.
Collaborate with stakeholders to turn diverse data sources into trusted, analytics-ready datasets.
Our partner is a company undergoing a large-scale digital transformation initiative. They are looking for an experienced data engineer to work with modern Microsoft Azure data technologies.
Develops and maintains data transformations using SQL and dbt to keep datasets accurate and up to date.
Investigates data quality issues by tracing data back through pipelines to identify root causes.
Collaborates with data developers and analysts to support the onboarding of new data sources.
CI&T helps large enterprises transform AI potential into real business impact with tech-integrated solutions. With 30 years of experience and 8,000 employees across over 25 countries, they foster a collaborative culture focused on innovation and inclusion.
Develop and maintain scalable, resilient data pipelines using PySpark and distributed processing frameworks.
Modernize legacy processes and design data solutions on AWS, building data products and complex transformations.
Support data quality and optimization initiatives, collaborating with stakeholders to translate requirements into technical solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It focuses on efficiency and fairness in recruitment, promoting diversity and inclusion in the workplace.
Lead design and implementation of data science initiatives from problem definition to production deployment.
Develop, evaluate, and optimize machine learning models on AWS, owning the full data science lifecycle.
Mentor data professionals and partner with stakeholders to drive measurable business value.
The company is a partner of Jobgether, providing data science and machine learning solutions for complex business challenges. It offers a collaborative remote environment with experienced professionals and strong autonomy.
Design and optimize Snowflake data models for customer engagement, segmentation, and activation.
Build pipelines syncing customer data with platforms like Braze, Hightouch, and CDPs.
Collaborate with CRM, analytics, and marketing stakeholders to create unified customer profiles.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They operate in a remote-first international environment with a small, rapidly scaling team focused on technology-driven recruitment.
Lead and mentor a team of Data Engineers, driving technical excellence and engineering best practices.
Own end-to-end architecture and design of the data platform, ensuring scalability and reliability.
Define and drive data migration strategies from Snowflake and SSIS to Azure Databricks and DBT.
Coforge is a global digital services and solutions provider specializing in data engineering and cloud transformation. With over 20,000 employees, it fosters a culture of innovation, collaboration, and technical excellence.
Build and maintain data ingestion pipelines from enterprise systems and APIs.
Develop SQL and Python solutions for data transformation and curation.
Partner with analytics and engineering teams to deliver governed data products.
AHEAD builds and operates data capabilities to help teams access trusted information. The company fosters a product-oriented engineering culture with a focus on collaboration and AI-assisted development.
Build and optimize scalable data pipelines using Databricks, Spark, and PySpark for cloud migration.
Design and maintain data models (Bronze, Silver, Gold layers) to enable analytical insights.
Ensure data quality and governance while managing the technical roadmap and communicating with stakeholders.
CI&T helps large companies transform AI potential into real business impact with AI deployment and tech-integrated solutions. They have 8,000 employees across 25+ countries, fostering a collaborative and innovative culture.
Own the reliability of data pipelines, proactively identifying and fixing issues.
Design and optimize dimensional data models using dbt for scalable analytics.
Partner with technical and business teams to ensure data accuracy and usability.
Homeward creates financial products to simplify homebuying, giving buyers and sellers certainty. It is a remote-first real estate startup with a diverse team across multiple countries, grounded in values of empathy, focus, and teamwork.
Design and maintain scalable data pipelines and data models for internal and client-facing products.
Collaborate with product, design, and engineering teams to translate business needs into reliable data solutions.
Improve data quality, performance, and engineering practices while taking ownership of the data platform.
This company is a fast-growing global SaaS business operating in the healthcare technology sector. It offers a remote-first engineering environment with talented colleagues across multiple countries and cultures.
Design and build robust data pipelines and warehouse models using Snowflake and modern data engineering tools.
Migrate legacy SQL Server systems and ETL processes to a scalable cloud environment.
Ensure data security, reliability, and compliance for sensitive healthcare data.
This company is a partner organization focused on modernizing healthcare data infrastructure and analytics. It provides a collaborative, fully remote environment with significant individual ownership and a focus on scaling modern data technologies.
South America
Unlimited PTO
12w maternity
12w paternity
Own end-to-end analysis and build durable reporting infrastructure using Snowflake, dbt, and Hex.
Translate ambiguous business questions into rigorous, well-documented analysis with expert SQL.
Partner with teams to define metrics, investigate anomalies, and mentor other analysts.
PadSplit is a technology company addressing the affordable housing crisis through shared housing. It is a growing company with a collaborative culture and a focus on data-driven decision-making.