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 scalable data solutions using Databricks, Azure Fabric, PySpark, and SQL.
Build and automate end-to-end data pipelines with Azure Data Factory and CI/CD practices.
Mentor junior engineers and partner with stakeholders to align data engineering with business objectives.
Alimentiv is a healthcare technology and clinical research organization supporting gastrointestinal clinical trials and data-driven innovation. It operates with a collaborative global team and a focus on quality, compliance, and technical excellence.
Design and build Databricks lakehouse pipelines using PySpark, Spark SQL, and Delta Lake.
Collaborate with frontend, architecture, and clinical teams on APIs and data ingestion.
Ensure GxP, 21 CFR Part 11, HIPAA, and GDPR compliance while optimizing Spark and Delta Lake.
Muttdata builds innovative Data Products and Machine Learning solutions for complex business challenges. They are a fast-growing, remote-first startup with a collaborative, ownership-driven culture that values continuous learning.
Lead migration of legacy SQL Server and ADF pipelines to Databricks Lakehouse, designing Bronze, Silver, and Gold layers.
Build scalable ETL/ELT frameworks using PySpark, Delta Live Tables, and Databricks Workflows, optimizing for Power BI.
Establish governance, security, and cost optimization standards, including Unity Catalog and monitoring dashboards.
Tier One Technologies is a technology services provider delivering data engineering, cloud migration, and consulting solutions to US Government clients. The company fosters a collaborative, detail-oriented culture focused on technical excellence and knowledge transfer.
Define Azure Databricks landing zone architecture, workspace topology, and Unity Catalog governance standards.
Implement secure lakehouse patterns for identity, networking, data protection, and audit logging.
Drive enablement through CI/CD pipelines, FinOps practices, and reusable accelerators for analytics teams.
Planned Systems International (PSI) is a technology solutions company that delivers enterprise data platforms, cloud infrastructure, and analytics services. With a focus on professional growth and inclusion, PSI offers competitive benefits, certification support, and a collaborative culture.
Develop, fine-tune, deploy, and monitor pretrained language models for healthcare applications
Work with messy unstructured EHR data, including clinical text and imaging, to generate real-world insights
Collaborate cross-functionally to translate clinical questions into data analytics requirements
Verana Health is a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network in ophthalmology, neurology, urology, and oncology. Backed by Johnson & Johnson Innovation and GV, the company recently raised $150 million in Series E and maintains a diverse, remote-friendly culture with offices in San Francisco, New York City, and Knoxville.
Design end-to-end data pipelines to collect, process, transform, and load data into cloud environments.
Lead and mentor a team of data engineers while collaborating with client stakeholders on data requirements.
Build and optimize ETL processes to ensure data quality, integrity, and actionable insights.
Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers who love solving hard problems. They believe the right data can transform and propel growth for any organization.
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.
Investigate large datasets to identify fraud patterns and develop predictive features.
Build and evaluate machine learning models for fraud detection across account opening and identity risk.
Write clean Python/PySpark code and collaborate with teams to deploy models into production.
Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across financial services, healthcare, automotive, and more. They have an amazing team of 25,200 people in 32 countries with a people-first, inclusive culture.