Data Engineer Jobs in Jersey City, NJ

The Databricks Data Engineer will design and implement ETL pipelines, manage data ingestion processes, and collaborate with business teams to create analytics solutions.

Lead the design and delivery of scalable data pipelines and platforms for enterprise-level analytics, ensuring operational excellence and data governance.

The Data Engineer designs and builds data pipelines for analytics, ensuring data quality, governance, and integration across systems, while collaborating with teams for effective delivery.

Design, deploy, and manage data center networks for AI infrastructure. Troubleshoot issues, guide junior staff, and collaborate across teams.

The role involves designing and implementing EOD market data solutions, collaborating with teams, and ensuring data quality for pricing and risk calculations.

As a Senior Software Engineer, you'll design and build data models, APIs, and backend services for a complex datacenter infrastructure platform, while ensuring high performance and scalability.

The Senior Data Center Mechanical Engineer will design and implement mechanical solutions for data centers, ensuring efficiency and scalability across projects. Responsibilities include managing the design process, collaborating with internal and external teams, and evaluating emerging technologies for cooling strategies.

The Data Engineer will build and optimize data pipelines, develop integrations using modern tools, and ensure compliance with data governance while working with healthcare data to drive business decisions.

Provide pre-sales technical leadership for data management and analytics solutions: assess customer needs, design and validate cloud data architectures (warehouses, lakehouses, ETL/ELT, RAG/GenAI), build demos/POCs, and support sales with presentations, integration planning, and technical guidance.

As a Senior Data Engineer, you'll build and optimize data pipelines and collaborate with teams to transform data into actionable insights while leading the engineering team.

The Data Solution Engineer will design and implement data solutions, automate data processes, and enhance data scalability while collaborating with cross-functional teams to improve data efficiency and quality.

Lead the design and implementation of Java-based enterprise data applications, focusing on Big Data technologies and mentoring developers.

Design, build, and maintain scalable data pipelines and infrastructure on AWS, collaborating with data scientists and AI teams to support analytics and ML initiatives.

This role involves designing and implementing large-scale big data platforms using Java and various big data frameworks, along with integrating systems and managing databases.

Lead the design, development, and management of cloud-based data services, focusing on automation, database systems, and cloud migration projects while ensuring security and compliance.

Lead scalable data engineering efforts, build ETL pipelines, support BI and analytics teams, and ensure data quality and deployment.

The Lead Data Engineer will manage scalable ETL pipelines, support cross-functional teams with data infrastructure, and ensure data quality and integrity for strategic growth.

Design, implement, and maintain data ingestion pipelines and RESTful APIs; optimize backend systems for performance and reliability; collaborate on data solutions with cross-functional teams.

Design and implement ML pipelines, optimize AI/ML workloads using AWS services, manage data integration, and ensure monitoring and maintenance of AI/ML systems.

The Lead Data Engineer will design, build, and maintain data pipelines, mentor team members, and create scalable data solutions for operational, reporting, and ML purposes.

Develop and maintain real-time market data feeds, focusing on performance and latency improvements in a collaborative environment.

The Senior Data Engineer designs, develops, and maintains data pipelines, leveraging GCP tools to manage healthcare data and provide insights for business decisions.

The Senior Data Platform Administrator will engineer and maintain scalable big data platforms, providing operational excellence and technical guidance while fostering a culture of collaboration and innovation within the team.

The role involves building data pipelines, developing machine learning models, and improving actuarial and finance functions, collaborating with various teams.

The Senior Data Engineer will design and build AI capabilities, manage data pipelines, and lead engineering practices while mentoring team members in a fast-paced environment.