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.
Design and manage end-to-end data infrastructure including databases, Data Warehouses, Data Lakes, and Medallion Architecture.
Lead technical migration strategy from legacy systems to cloud platforms, ensuring smooth transition.
Translate business requirements into technical specifications, establish data models and governance policies.
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 25 countries, they collaborate to build solutions with real impact.
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.
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.
Translate legacy Databricks notebook logic into modern ELT patterns using Python and PySpark, ensuring data contract preservation and reverse-view strategies.
Build scalable ingestion pipelines with YAML configurations and orchestrate automated DAG generation via workflow schedulers, applying quality assertions and migration validation.
Collaborate with business Data Stewards to align dependencies, negotiate refactoring scope, and validate migrated outputs for production systems.
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 tech transformation experience and over 8,000 CI&Ters in 25+ countries, we accelerate innovation through agentic SDLC, application modernization, Data & AI, martech, and business strategy.
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 and build production-grade analytical data models using dbt and Databricks, focusing on scalable Gold-layer architectures.
Develop semantic models and reusable data products that provide consistent metrics for consumption through Tableau and other BI tools.
Automate data workflows with Python and SQL, applying software engineering practices like Git and CI/CD.
NationsBenefits is a Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions for managed care organizations. The company is recognized as one of the fastest-growing in America, with a collaborative culture and offices in the US, South America, and India.
Design, optimize, and maintain robust and scalable data pipelines on AWS cloud.
Plan and execute migration of systems and data volumes to new cloud infrastructure.
Collaborate with multidisciplinary teams to implement efficient data solutions and ensure data governance.
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 25+ countries, they collaborate to build solutions with real impact.
Develop and maintain data pipelines using Databricks, PySpark, Python, and SQL to transform raw financial data into reliable, curated datasets.
Integrate new data sources, support financial reconciliation, P&L routines, and global closing processes, ensuring data consistency and accuracy.
Collaborate with multidisciplinary teams to deliver high-quality data solutions, support AI initiatives, and implement continuous improvements in data performance and quality.
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 25+ countries, they collaborate to build solutions with real impact.
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.
Build and maintain data pipelines using SQL, Python, and other technologies.
Triage and resolve complex bugs, incidents, and data issues.
Mentor junior data engineers and participate in sprint planning and refinement.
Personify Health created the first and only personalized health platform, bringing together health plan administration, holistic wellbeing solutions, and comprehensive care navigation. They serve employers, health plans, and health systems with data-driven solutions, and their mission-driven culture empowers diverse perspectives to impact people's health.
Design and drive the execution of a scalable, cloud-native target-state architecture for the data platform.
Define architectural patterns for scalable automated data ingestion and deliver hands-on proof-of-concepts using SQL, PySpark, and Serverless Python.
Drive governance, security, and engineering excellence across all platform components, ensuring alignment with business and product strategies.
G-P is a SaaS-based Global Employment Platform that enables clients to expand into over 180 countries. Our diverse, remote-first teams foster innovation and value every contribution, empowering employees with flexibility and resources.
Lead design and implementation of enterprise data pipelines within Microsoft Fabric.
Mentor data engineers and establish best practices for data engineering.
Ensure data platform security, availability, and performance requirements are met.
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. The company provides a creative and forward-thinking environment with growth opportunities and modern perks.
Own the end-to-end Databricks data lake, dbt models, medallion layers, and data quality monitoring.
Build AI data infrastructure including embedding pipelines, vector stores, and feature stores.
Develop and maintain cloud databases, optimize analytics dashboards, and collaborate with cross-functional teams.
Quandri builds an AI operating system to transform insurance for North American agencies and brokerages. The company is a fast-growing startup recognized by LinkedIn and Deloitte, with a culture centered on ownership, curiosity, and execution.
Design, build, and maintain robust ETL/ELT processes for modern Data Lake architectures.
Write and optimize complex SQL queries using Python and PySpark for large-scale distributed data processing.
Collaborate with cross-functional teams to ensure data governance, quality, and observability across cloud-native platforms.
CI&T helps large enterprises transform the potential of AI into real business impact. With 30 years of experience, we are 8,000 CI&Ters across more than 25 countries.
Design scalable cloud-native data architectures on Databricks or MS Fabric.
Implement data models, schemas, and storage patterns like lakehouse, Delta, and Parquet.
Collaborate with data architects, analysts, and business stakeholders to ensure data-driven decision making.
Deutsche Telekom IT Solutions, a subsidiary of the Deutsche Telekom Group, provides comprehensive IT and telecommunications services with over 5,300 employees. The company has won awards for educational cooperation and ethical business practices, and it continuously develops its locations in Budapest, Debrecen, Pécs, and Szeged.
Design, build, and maintain end-to-end ETL/ELT pipelines across cloud, on-prem, and hybrid environments.
Integrate SQL Server, APIs, SaaS apps, and file sources while ensuring data quality, validation, and reconciliation.
Model data for analytics and Power BI, supporting enterprise reporting with secure, documented, business-ready datasets.
Climate First Bank is a Florida Benefit Corporation and FDIC-insured commercial bank offering sustainable banking and lending solutions. It is a Certified B Corporation with a mission-driven, people-first culture dedicated to using finance as a force for good.
Translate digital event data (web/app) into user behavior models;
Develop exploratory and advanced analyses to identify patterns, journeys, and friction points;
Design and scale machine learning and AI models for behavior and personalization.
CI&T helps large companies transform the potential of AI into real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across 25 countries, we foster a collaborative culture that prioritizes inclusion and well-being.
Build and maintain Bronze-to-Gold pipelines in Databricks with Unity Catalog and metric views.
Extend automated data quality checks across gold-layer tables and validate against Power BI reports.
Establish documented pipelines, access models, and a working intake process for cross-department data requests.
CoreView empowers organizations to master Microsoft 365 complexity through robust security and governance. They serve over 23 million users worldwide and foster a collaborative, innovative culture.
Develop and maintain data pipelines, transformation logic, and data quality processes within Microsoft Fabric.
Implement Bronze, Silver, and Gold medallion architecture layers for assigned data domains.
Support Ed-Fi REST API integrations and Aspen-to-Ed-Fi mappings for education data workstreams.
Rackner is a software consultancy that builds mission-critical systems for the U.S. government, focusing on cloud, DevSecOps, AI/ML, and modern software engineering. The company supports federal agencies and national security missions, with a culture of collaboration, growth, and technical excellence.