Top Data & Analytics Jobs

The Data Integration Engineer will design and implement data integration solutions for cloud platforms, ensuring data models support analytics and AI initiatives, while collaborating with various teams to maintain data governance and product standards.

The Senior Data Engineer will modernize data platforms, enhance data management standards, and drive data-driven initiatives across the organization, collaborating with various teams to improve data accessibility and quality.

The Senior Data Engineer will develop and maintain scalable data pipelines, ensure quality standards, improve engineering practices, and engage with data teams to optimize operations.

The role involves developing and integrating cloud-native data services and APIs, supporting data transformation, and maintaining backend services using AWS technologies.

As a Senior Clinical Data Engineer, you'll oversee clinical data lifecycles, manage data integrity, collaborate with project teams, and optimize data management processes for clinical trials.

The Senior Data Engineer leads the architecture and development of the Snowflake data platform, ensuring data governance, integration, and compliance while mentoring team members and optimizing system performance.

The Data Infrastructure Engineer will build and operate data pipelines, a lakehouse architecture on AWS, and implement metadata management and governance for data analytics.

The Junior Data Engineer will work with data to enhance trading systems, support data warehouses, and collaborate on technical solutions with the team.

Collaborate in Agile teams to design and manage data solutions, lead AI coding workflows, enhance productivity, and oversee AI quality in projects.

The Data Visualization Developer will create dashboards and reports, analyze data, and support stakeholders in interpreting data insights. Responsibilities include data cleaning, training others, and fostering data literacy to improve decision-making processes in healthcare.

The Data Integration Lead designs and manages data ingestion pipelines, ensuring data integrity and security while supporting ETL processes in classified environments.

The Senior Data Analytics Engineer analyzes gearbox performance data, identifies trends, supports root cause analysis, collaborates with cross-functional teams, and develops analytical tools for reliability improvement.

Lead design and implementation of data lake architecture and cloud data platforms. Develop and optimize ETL/Delta Lake pipelines, administer Databricks, integrate AI/ML workflows, enforce cloud security/RBAC, and collaborate with analysts, developers, and clients to deliver compliant solutions.

The Palantir Data Engineer develops data transformation pipelines, integrates external systems via API, and conducts code reviews in Palantir's environment. Responsibilities include managing data ingestion, developing ETL code, and collaborating with Data Scientists.

The Azure Principal Data Engineer designs and evolves scalable Azure data platforms, ensuring data transformation, governance, and automation, while mentoring engineers.

The Mid-Level Data Engineer will design and maintain data pipelines using Python and PySpark on Azure, ensuring data quality for analytics and reporting while collaborating with various stakeholders to translate requirements into practical solutions.

The Senior Data Engineer - Oracle Application DBA is responsible for database administration and production support. This includes creating and supporting database infrastructure across environments, troubleshooting issues, and collaborating with cross-functional teams.

The role involves optimizing, supporting, and deploying cloud-based SQL Server environments, troubleshooting performance issues, mentoring junior engineers, and ensuring compliance within healthcare data systems.

Analyze source systems for data integration requirements and develop data workflows, ensuring reliability and compliance while collaborating with engineers and analysts.

The Senior Data Engineer will design scalable data processing frameworks using Java and Apache Spark, manage data pipelines, and mentor junior engineers.

The Data and Analytics Engineer will build and maintain scalable ELT pipelines, leveraging data for analytics and reporting within the Snowflake data architecture.

Lead the technical direction of data engineering by designing ETL pipelines, ensuring data quality, optimizing infrastructure, and mentoring junior engineers.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

As a Data Analytics Engineer I, you'll bridge engineering and analytics, manage data pipelines, collaborate with stakeholders, and utilize modern open-source tech for data transformation and integration in structured finance.

As a Data Engineer at MAI, you will develop and maintain data platforms, design ETL/ELT processes, ensure data quality, and collaborate with teams to optimize data utilization for analytics and ML applications.