Expand and improve the data and data pipeline architecture, as well as optimizing data flow and MDM for cross-functional teams. Design, develop, and operate large-scale data pipelines to support internal and external consumers. Integrate data sources to meet business requirements. Write robust, maintainable, well-documented code.

Design and implement our enterprise data platform, a cornerstone of our data strategy. As Senior Data Architect you'll be responsible for creating the technical foundation that supports our machine learning experiments, agentic AI workflows, and curated data sets using Databricks as our core technology platform to build scalable, efficient data architecture.

Make a big difference in healthcare access, performing custom ad hoc analyses and developing robust data pipelines to automate data extraction, transformation, and loading (ETL) processes. Build intelligent data models, utilize Databricks, SQL Server, and Python to process and analyze large datasets efficiently.

Seeking an experienced and motivated senior-level Data Engineer to join one of our teams responsible for a key product within the organization, you will have a great say in how solutions are engineered and delivered. We’re growing quickly and looking to hire data engineers for multiple teams.

Integrate data feeds from various healthcare data providers, analyze incoming healthcare data, ensure that the data meets specifications and write new SQL based pipelines to bring patient data into our platform. Troubleshoot existing pipelines using AWS services (EKS, Glue, S3), Databricks,  Datadog. Create tools and processes to facilitate data accessibility across products and data consumers.

The Sr. Data Engineer will be implementing new data integrations, semantic layer modeling and implementation to reduce system inefficiencies and help with initiatives on platform and data governance. They are needed to create a cost-effective platform structure, stability and performance at scale.

Design and maintain scalable ETL pipelines for data integration ensuring seamless data ingestion and high-quality results, optimizing data syncing algorithms to handle large datasets efficiently, improving scalability and performance. Collaborate with AI researchers to transform machine learning models into production pipelines, delivering actionable insights in real time.

Lead data initiatives, provide actionable insights, and develop scalable solutions to optimize deal outcomes and drive business growth. Own KPI reporting, predictive modeling, and workflow automation to optimize Deal Desk capacity, as well as collaborate cross-functionally with business partners to leverage insights to support data-based decision making and increase deal velocity.

As a Databricks Data Developer at CI&T, you will develop and maintain scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for clients. You'll design data ingestion processes, optimize data workflows, and collaborate with data scientists. Responsibilities include monitoring data pipelines, contributing to architecture discussions, and staying updated with industry trends.

You'll play a crucial role in developing and maintaining scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our clients. Responsibilities include designing and developing data pipelines, collaborating with data architects, and ensuring data quality and governance. You will also monitor and optimize performance and provide mentorship.