Top Data Engineer Jobs in NYC, NY

As a Data Engineer at Kustomer, you will enhance the data architecture and streamline data-ingestion processes, manage ETL processes, analyze data to extract insights, debug data issues, and provide production support for the data pipeline.

As a Data Engineer at Hinge, you will develop and maintain essential data pipelines and processes that support the organization’s decision-making. Your role involves collaborating with data teams, improving the data engineering stack, and executing data modeling tasks, all while using modern technologies and delivering data-driven insights.

The Data Engineer II will develop and maintain ad-tech data systems, focusing on data streaming, processing, and ETL/ELT pipelines. Involved in all software development lifecycle stages, they will build cloud-based data pipelines, collaborate with engineering and business teams, and ensure the integration and delivery of system components.

The Data Engineer will build and maintain data pipelines for analytics across various business functions. Responsibilities include understanding data interactions, collaborating on best practices, and implementing ingestion pipelines using tools like Apache Spark and Hudi.

As a Senior Data Engineer at Grubhub, you will design and maintain data pipelines, collaborate with teams to develop data solutions, optimize data storage, and ensure data integrity and availability. You will leverage technologies like Scala Spark and AWS, mentor junior engineers, and drive best practices for scalable data systems.

As a Senior Data Engineer, you will enhance Grubhub's data and machine learning pipelines, collaborating with data scientists to productionize data solutions and managing high volumes of data using advanced technologies.

The Sr. Data Engineer will be responsible for designing, developing, and maintaining data pipelines and data warehousing solutions. This role includes managing analytical data streams, defining user requirements, coordinating testing and training, and leading the data engineering team. The engineer will work to ensure the integrity of applications while enhancing existing solutions.

As a Senior Data Engineer at Place Exchange, you will design and build scalable systems for an out-of-home digital ad exchange. Your responsibilities include developing features independently, mentoring junior engineers, and implementing best practices for software development. You'll work with various technologies to enhance their platform and optimize system performance.

The Intermediate Data Engineer will enhance and build systems for data clean rooms related to digital video and linear TV viewership, collaborate with engineering and data science teams to create data models, and work with internal teams on requirement definitions, all using agile methodologies.

The Intermediate Data Engineer will develop new product features and enhance existing ones using ETL processes with Python and SQL, orchestrate ETLs with Airflow, and develop APIs in Go. This role involves participating in the product lifecycle, from requirements gathering to implementation and maintenance, while collaborating with a diverse engineering team on complex data challenges.

The Senior Data Engineer role involves developing data pipelines, automating data extraction from BI APIs, performing SQL operations, and ensuring data integrity. The candidate will collaborate with product teams, support data transformations, utilize cloud services, and manage ETL tasks using various tools.

The Senior Engineer will be responsible for architecting and building scalable data processing systems to handle large data volumes, collaborating with teams to optimize system performance and costs, and engaging in the full software development lifecycle, including production support.

As a Senior Data Engineer, you will develop and maintain foundational data models like star and snowflake schemas to support analytics and business intelligence needs. You will create and optimize key datasets, enforce dimensional modeling best practices, and collaborate with various teams to enhance insights from data. Your role will also involve optimizing data storage and ensuring efficient processing of large datasets using modern frameworks.

The Senior Data Engineer will build and optimize data integration pipelines for data lakes and warehouses. Responsibilities include collaborating with stakeholders, enhancing data transformations, ensuring data integrity, and championing coding standards. The role calls for coding and maintaining a multi-cloud infrastructure, as well as working closely with analytics engineers.

The Senior Data Engineer will work on the Targeting and Audiences team to evaluate and enhance audience matching methodologies, build scalable data processes, and collaborate with various teams for data management and analysis, focusing on improving targeting strategies and handling petabytes of data.

As a Senior Data Engineer at Perchwell, you will drive data engineering initiatives by building ETL tools and data pipelines. You will collaborate with cross-functional teams to enhance data solutions, ensuring data quality, governance, and observability, while scaling data infrastructure for new MLS onboarding.

Design, build, and optimize scalable data systems; collaborate with cross-functional teams; manage data pipelines; improve data governance; enhance tools and processes for data workflows. Focus on developing frameworks that enhance data quality and reliability to improve healthcare experiences.