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Top Hybrid Data Engineer Jobs in New York City, NY

13 Hours Ago
Hybrid
New York, NY, USA
240K-329K Annually
Senior level
240K-329K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
As a Distinguished Data Engineer at Capital One, you will lead in defining the future of banking technology, focusing on data architecture, machine learning, and creating innovative solutions. Responsibilities include mentoring, managing multiple projects, and developing scalable data pipelines in a collaborative and inclusive environment.
Top Skills: Data EngineeringGenerative AiMachine Learning
16 Hours Ago
Hybrid
New York, NY, USA
149K-249K Annually
Senior level
149K-249K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Real World Data Insights Director will lead the establishment of insights capabilities to inform investment decisions regarding Pfizer's pipeline. This role involves collaborating with various stakeholders, leveraging real-world data, and conducting qualitative and quantitative analyses to provide actionable insights and strategic recommendations.
Top Skills: PythonR
17 Hours Ago
Hybrid
New York, NY, USA
Senior level
Senior level
Financial Services
As a Data Owner Lead, you will implement strategic plans for data solutions that enhance business operations, manage project execution while mitigating risks, ensure clear documentation and govern critical data, and support analytics integration, fostering a data-driven culture across the organization.
Top Skills: Data GovernanceData Management
17 Hours Ago
Hybrid
New York, NY, USA
Senior level
Senior level
Financial Services
As a Vice President, Data Scientist at PricingDirect, you will lead the integration of AI and ML into financial valuations, oversee model governance, and collaborate with diverse teams to innovate data science practices, ensuring accurate and timely financial insights.
Top Skills: JavaPythonR
17 Hours Ago
Hybrid
New York, NY, USA
Senior level
Senior level
Financial Services
The Data Owner Director will lead data initiatives that enhance business operations and analytics, ensuring high data quality and governance. Responsibilities include collaborating with stakeholders, managing data integration, directing data strategy, and overseeing governance processes. This role demands strong leadership and strategic thinking to transform data into a key organizational asset.
Top Skills: Computer ScienceData AnalyticsData ScienceInformation Systems

Featured Jobs

3 Days Ago
Hybrid
New York, NY, USA
185K-215K Annually
Senior level
185K-215K Annually
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
The Sr. Manager of Data Engineering will lead a team of data engineers, managing the design and maintenance of data pipelines and systems that support NBC News Digital's transformation. Responsibilities include project management, collaboration with cross-functional teams, process optimization, and strategic support for data architecture.
Top Skills: PythonSQL
5 Days Ago
Hybrid
New York, NY, USA
85K-100K Annually
Entry level
85K-100K Annually
Entry level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
The Business Technology Solutions Associate in Enterprise Data Governance collaborates with internal and client teams to implement data governance solutions, translating business challenges into technical requirements. The role supports project planning and delivery, integrates technology solutions, and requires strong communication to bridge gaps between diverse teams.
Top Skills: AWSAzureGoogle Cloud PlatformSQL
6 Days Ago
Hybrid
New York, NY, USA
Senior level
Senior level
AdTech • Consumer Web • Digital Media • eCommerce • Marketing Tech
As a Senior Analytics Engineer, you will create and maintain data marts for various business domains, ensuring data quality and integrity. You will collaborate with cross-functional teams to enhance data accessibility and perform exploratory data analysis while developing impactful reports and dashboards for stakeholders.
Top Skills: DbtSQL
7 Days Ago
Hybrid
New York, NY, USA
140K-210K Annually
Senior level
140K-210K Annually
Senior level
Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
The role involves developing and optimizing NLP algorithms, training large language models, collaborating with cross-functional teams, and contributing to machine learning research initiatives. The engineer will drive improvements in the data processing pipeline and mentor junior team members.
Top Skills: Python
7 Days Ago
Hybrid
New York, NY, USA
165K-242K Annually
Senior level
165K-242K Annually
Senior level
AdTech • Digital Media • News + Entertainment
As a Lead Machine Learning Engineer, you will design and implement machine learning solutions, collaborate with product and engineering teams, and oversee project execution. Your role includes writing code, setting project milestones, conducting code reviews, coaching team members, and ensuring best practices for service maintenance and deployment.
Top Skills: JavaKotlinScala
9 Days Ago
Hybrid
New York, NY, USA
71K-134K Annually
Senior level
71K-134K Annually
Senior level
Cloud • Insurance • Professional Services • Analytics • Cybersecurity
The Data Analytics Senior Consultant will leverage analytical and technical skills to enhance CNA's underwriting strategies through the development of automated scorecards, scenario analysis tools, and business insights. This role involves collaboration with senior leadership and various teams to drive significant business impacts and improve processes across commercial insurance products.
Top Skills: Microsoft PowerbiSQL
10 Days Ago
Hybrid
New York, NY, USA
157K-198K Annually
Mid level
157K-198K Annually
Mid level
AdTech • Digital Media • Internet of Things • Marketing Tech • Mobile • Software
Senior Machine Learning Engineers at Altice USA will deploy end-to-end AI and ML solutions to address business challenges. They will collaborate with stakeholders to gather requirements, conduct data analysis, manage projects, and communicate insights. They will require expertise in machine learning techniques and coding in Python and R, as well as cloud computing and data warehousing.
Top Skills: PythonRSQL
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