Data Engineer Jobs in Jersey City, NJ

The Senior Engineer will develop applications for data management, implement data platforms, and ensure data flow and security compliance.

The Data Engineer III role involves developing data solutions, integrating and transforming data, collaborating with teams, leading testing efforts, and mentoring other engineers to enhance data management.

Lead an agile team to develop and enhance technology products, providing guidance, coding, and troubleshooting across multiple platforms, primarily in Python and Java, with a focus on cloud technologies.

As a Lead Data Engineer, you will build and optimize data pipelines, collaborate with data teams, and leverage advanced technologies to solve complex business challenges.

Leads software engineering for payments data platform, focused on building secure and stable technology solutions while driving operational improvements.

Lead the implementation of AML detection pipelines using Palantir Foundry. Train team members in technical skills and oversee data architecture and maintenance.

Manage AI model development and validation, lead large projects, provide strategic client interaction, and foster high-performing teams for operational excellence.

Develop and enhance machine learning models, mentor juniors, maintain standards, and build client relationships while navigating complex situations.

The role involves delivering customer success using data, AI, and CRM by collaborating with Account Executives, executing digital solutions, and advocating for customer needs while driving technical excellence and customer growth.

The Senior ETL Developer is responsible for developing solutions for data warehousing, coding ETL programs, and executing data workflows for reporting, using various Azure tools.

The role involves developing data strategies, enhancing governance, and building stakeholder relationships to enable data-driven decision making in the banking sector.

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

Design, build, and maintain data pipelines and infrastructure, collaborating with data scientists and stakeholders for data-driven decisions.

The Lead Data Engineer will oversee technical design, lead a team, ensure data quality, and align data initiatives with business goals.

The Senior Data AppOps Engineer will build and support data applications, troubleshoot issues, perform system monitoring, and participate in production support activities.

The Senior Data Engineer will design, build, and operate data pipelines while ensuring quality, performance, and monitoring in a Snowflake environment. Responsibilities include orchestrating workflows with Apache Airflow, integrating data, and collaborating with stakeholders.

The Big Data Engineer will design and implement big data pipelines, optimize services, develop applications with Hadoop and Spark, and support client requirements.

Lead the rebuild of PerformLine's data platform, architect Snowflake-based stack, design pipelines, ensure data quality, and collaborate across teams.

Transform the Document Data Model to improve scalability and performance, build APIs and backend services, enhance observability, mentor team members, and participate in code reviews and on-call support.

Lead the development of a data platform, enhancing data processing and query engines while mentoring team members and managing production issues.

The role involves developing and maintaining enterprise data pipelines, collaborating with various business units, and ensuring data quality and security standards.

The job involves requirements engineering for software systems related to data platforms, focusing on the analysis and gathering of system requirements.

The Sr. Data Engineer role involves developing data architecture, optimizing data processing, and collaborating across teams to enhance data utilization and governance with a focus on AI-driven solutions.