Top Data Engineer Jobs in NYC, NY

The role involves leading the build out of data platforms for quantitative systematic trading strategies, collaborating with portfolio managers and researchers, and ensuring the delivery of high quality data services. The engineer will design features using standard models and manage data sourcing and quality for effective trading operations.

The Data Engineer- Manager at PwC will design and implement data infrastructure and systems, focusing on data pipelines, integration, and transformation. This role includes mentoring team members and leading projects to deliver quality results, ensuring proper data governance, technical standards, and collaborating with stakeholders to meet business needs.

The Distinguished Data Engineer will drive innovation and provide leadership in shaping the future of data infrastructure at Capital One. Responsibilities include articulating technical vision, solving complex problems, optimizing designs, mentoring team members, and ensuring data quality and scalability using cloud-native technologies.

As a Data Engineer at Clear Street, you will automate compliance and regulatory processes by creating scalable solutions from large datasets. Your role involves collaborating with Compliance, Finance, and Treasury teams to understand requirements and deliver robust reporting and reconciliations, while providing technical leadership within the Controls Engineering team.

As a Data Engineer at Headway, you'll collaborate with teams to design and build data pipelines that support the core product and business insights. Your role will involve improving data infrastructure, advocating best practices, and working with real-time data processing to enhance decision-making at the company.

The Senior Data Engineer at Capital One will collaborate with Agile teams to develop technical solutions and support full-stack development. Responsibilities include utilizing programming languages, working with machine learning and data warehousing services, and mentoring team members.

The role involves leading the design and development of data solutions leveraging Google Cloud technologies. Responsibilities include building data infrastructure, developing data pipelines, ensuring compliance with data governance, collaborating with stakeholders, and coaching team members. The position requires a strategic mindset to address complex challenges and deliver impactful results.

The role involves leading data engineering projects, designing and building data infrastructure, developing data pipelines and transformations, mentoring the team, and ensuring data compliance and quality. Additionally, responsibilities include evaluating technologies, architecting scalable solutions on Google Cloud, and collaborating with stakeholders.

As a Lead Data Engineer at Capital One, you will collaborate with Agile teams to design and develop technical solutions, leveraging a mix of programming languages and cloud technologies. Your role will involve building cloud-based data warehousing solutions, mentoring team members, and ensuring code quality through testing and reviews.

The Data Engineer will enhance the ETL data pipeline and develop tools for efficient data analysis and trading, focusing on quantitative trading strategies. Responsibilities include improving technology for research efficiency and managing operations in a fast-paced trading environment.

The Sr. Staff Data Engineer will lead the design and implementation of data models and pipelines, collaborating with internal stakeholders to derive insights from data and optimize performance, security, and user experience. The role requires coaching other data engineers and staying current with data technologies and standards.

The Senior Data Engineer will focus on developing and maintaining data pipelines for Hungryroot's Analytics data model. Responsibilities include collaborating with Analysts, ensuring system reliability, and upholding code quality within the Data Engineering team while utilizing Spark, Python, Scala, and the Databricks Platform.

As a Senior Data Engineer, you will build and maintain data pipelines, design reusable data sets for business intelligence, and create a data validation framework, while ensuring user privacy and security. You’ll collaborate with a mission-driven team using modern data tools to enhance healthcare outcomes.

The Data Analytics Engineer II will build and maintain data pipelines, optimize data sets for various departments, and ensure data integrity. This role requires experience in using modern data stacks, particularly in AWS, along with strong skills in SQL and Python to support the company's healthcare mission.

The Data Engineer will design, scale, and optimize the data architecture and cloud infrastructure, manage Snowflake and AWS services, enforce data governance policies, and develop ETL pipelines using modern data tooling.

The Lead Data Engineer will design and implement complex data pipelines and data products, focusing on subscriber metrics. This role involves collaboration with technical teams to create reliable data solutions, define ETL strategies, and mentor junior engineers in data pipeline development.

As a Data Engineer at BDG, you will develop and maintain scalable ETL pipelines, optimizing data storage and performance. You'll collaborate with cross-functional teams to enhance data solutions and ensure data quality through monitoring and governance. Additionally, you'll contribute to data strategy under the guidance of the Director of Data Engineering.