404 results for Data Engineer Jobs in Secaucus, NJ, US

Build and maintain data pipelines and integrate machine learning models. Develop applications on Google Cloud infrastructure and collaborate with teams to expand the Data Lake with external data.

Leads the design, build, and management of data structures and ETL workflows. Develops GCP applications and collaborates with data science teams to automate processes. Troubleshoots incidents and ensures data processing functions align with security policies. Works with engineering teams to find opt...

Location: Midtown, New York, NY (In-person Mon–Thurs, Remote Fridays)Team: Data Infrastructure – Mid, Senior, Staff, or Principal LevelsCompany:Fun.xyzCompany DescriptionAt Fun.xyz, we believe a tokenized future is a beneficial inevitability, granting financial emancipation to everyone with an inter...

Our client is looking for a Data Engineer to help us support our continued growth. The Data Engineer participates in project standup meetings and is responsible for data related tasks assigned by the Project Manager.Role Responsibilities:During the implementation phase:Develop partly or full solutio...

Develop data solutions for investment professionals, build tools and automation for data pipelines, work with Product and Portfolio Managers to understand data needs, manage tick data with timeseries databases, and ensure data quality and integrity through robust validation and error handling.

Responsible for architecting and managing production data pipelines in Snowflake, building and optimizing ETL pipelines, ensuring high availability of data assets, and collaborating cross-functionally with various teams. Requires strong knowledge of APIs, data governance frameworks, and experience w...

Responsible for designing and building data infrastructure, developing and implementing data pipelines, and integrating data solutions. Leads project planning, budgeting, and execution, while mentoring team members and ensuring data quality and compliance with governance policies.

Design and build data pipelines focused on scale, performance, and reliability. Provide technical expertise in the implementation of Data Lake solutions on Databricks and AWS. Ensure data governance principles and quality checks are applied. Collaborate with data teams and enterprise architecture to...

Responsible for managing data environments, building data management solutions, adopting data management tools, transforming existing tools, developing best practices for workflow, and ensuring data quality and security. Requires leading teams and partnering with various departments to enhance data ...

Responsible for developing and implementing data-driven strategies to enhance business growth, setting strategic direction for data initiatives, overseeing multiple projects, defining data management and governance strategies, and leveraging modern cloud data architectures.