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Lead Data Engineer Jobs in New York (NOW HIRING)

JPMorgan Chase & Co.

Lead Data Engineer

Jersey City, NJ · On-site

$150 - $200/hr

As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and ...

Capital One

Lead Data Engineer-IC

New York, NY · On-site

$125K - $150K/yr

Lead Data Engineer-IC Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

J.P. Morgan

Lead Data Engineer

Jersey City, NJ

$119K - $143K/yr

As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and ...

Deliberate AI

Lead Data Engineer

Manhattan, NY · On-site

$160K - $220K/yr

Lead Data Engineer Deliberate AI Hybrid (NYC or Boston)Full-Time About Deliberate AI We're a venture-backed company at the frontier of precision mental health. In partnerships with some of the world ...

United Airlines

Lead Data Engineer

Bridgewater, NJ

$104K - $138K/yr

We are seeking a Lead Data Engineer to provide technical leadership for enterprise data modernization initiatives. * The ideal candidate will define migration strategies, guide engineering teams, and ...

JPMorgan Chase & Co

Lead Data Engineer

Jersey City, NJ

$125K - $150K/yr

As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and ...

JPMorgan Chase & Co.

Lead Data Engineer

Jersey City, NJ · On-site

$147K - $190K/yr

As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and ...

Logicbroker, Inc.

Lead Data Engineer

New York, NY · On-site

$112K - $147K/yr

Job Summary We are hiring a Lead Data Engineer to drive delivery across our analytics and data platform initiatives. This role is a hands-on technical lead responsible for translating well-defined ...

Coast

Lead Data Engineer

New York, NY · On-site

$170K - $220K/yr

You will report directly to the Head of Engineering and work from our NYC office. What You'll Do * lead design and implementation of all aspects of our data ecosystem - from obtaining third party ...

Better Tomorrow Ventures

Lead Data Engineer

Manhattan, NY · On-site

$150 - $200/hr

You will report directly to the Head of Engineering and work from our NYC office. What You'll Do * lead design and implementation of all aspects of our data ecosystem -- from obtaining third party ...

Capital One

Senior Lead Data Engineer

New York, NY · On-site

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Coast

Lead Data Engineer

New York, NY · On-site

$170K - $220K/yr

You will report directly to the Head of Engineering and work from our NYC office. What You'll Do * lead design and implementation of all aspects of our data ecosystem - from obtaining third party ...

Capital One

Senior Lead Data Engineer

New York, NY · On-site

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Capital One

Lead Data Engineer (Bank Tech)

New York, NY · On-site

$112K - $147K/yr

Lead Data Engineer (Bank Tech) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative ...

Capital One

Lead Data Engineer (Bank Tech)

New York, NY · On-site

$112K - $147K/yr

Lead Data Engineer (Bank Tech) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative ...

TodayTix Group

Lead Data Engineer

Manhattan, NY · On-site

$200 - $250/hr

About the Role: We're looking for a Lead Data Engineer to join TodayTix Group and own how we scale our data platform -- the backbone connecting product, growth, finance, and CX to a single source of ...

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Showing results 21-40

All JobsLead Data Engineer JobsLead Data Engineer Jobs in New York

Lead Data Engineer information

See New York salary details

$46.5K

$135.4K

$197.5K

How much do lead data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for lead data engineer in New York is $135,424.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $147,700.00 per year, depending on experience, location, and employer.

What is a lead data engineer?

Lead Data Engineers are senior professionals responsible for designing, building, and managing large-scale data systems and architectures within an organization. They oversee data engineering teams, set technical standards, and ensure efficient data flow and storage. Their role involves collaborating with data scientists, analysts, and other stakeholders to deliver reliable data solutions that support business goals. Lead Data Engineers also mentor junior engineers and help define best practices and strategies for data management.

What are the key skills and qualifications needed to thrive as a lead data engineer?

To thrive as a Lead Data Engineer, you need advanced expertise in data architecture, database design, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications such as Google Professional Data Engineer are highly valued. Strong leadership, problem-solving abilities, and effective communication help drive team performance and translate business needs into technical solutions. These skills ensure robust, scalable data pipelines and successful collaboration across technical and business stakeholders.

How does a lead data engineer typically collaborate with data scientists and other engineering teams?

As a Lead Data Engineer, you play a central role in bridging the gap between raw data and actionable insights. You’ll collaborate closely with data scientists to understand their requirements, ensuring data pipelines deliver clean, reliable datasets for modeling and analysis. Additionally, you’ll work with software engineers and DevOps teams to integrate data solutions into production systems, maintain data infrastructure, and uphold best practices for data governance and security. Effective communication and cross-functional teamwork are key aspects of this role.

What is the difference between Lead Data Engineer vs Data Engineer?

AspectLead Data EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platforms or data toolsBachelor's in CS, Data Science, or related; similar certifications
Work EnvironmentLeads data projects, mentors teams, designs architectureBuilds data pipelines, maintains databases, implements data solutions
Industry UsageUsed in organizations with complex data needs, overseeing data teamsCommon in companies handling large-scale data processing

The main difference is that Lead Data Engineers oversee data projects and teams, focusing on architecture and strategy, while Data Engineers focus on building and maintaining data pipelines. Both roles require similar skills and certifications, but the Lead Data Engineer has additional leadership responsibilities.

What are the most commonly searched types of Lead Data Engineer jobs in New York?

The most popular types of Lead Data Engineer jobs in New York are:

What are popular job titles related to Lead Data Engineer jobs in New York?

For Lead Data Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Lead Data Engineer jobs in New York look for?

The top searched job categories for Lead Data Engineer jobs in New York are:

What cities in New York are hiring for Lead Data Engineer jobs?

Cities in New York with the most Lead Data Engineer job openings:

Lead Data Engineer jobs near you
Infographic showing various Lead Data Engineer job openings in New York as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $135,424 per year, or $65.1 per hour.

Lead Data Engineer

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$150 - $200/hr

Other

Posted 29 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 175 rated banks

Job description

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
  • Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability
  • Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations
  • Model and transform data for analytics using SQL to support business intelligence and reporting workloads
  • Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design
  • Collaborate with analysts, data scientists, and application teams to turn requirements into technical designs and delivered solutions
  • Own critical data systems by improving reliability, scalability, security, and operational excellence
  • Mentor junior engineers and influence the team’s technical direction through standards, reviews, and knowledge sharing
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements
  • Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations
Required qualifications, capabilities, and skills
  • Formal training or certification on data engineering concepts and 5+ years applied experience
  • Demonstrated experience delivering in an agile, fast-paced engineering environment. Hands-on professional experience actively coding as a data engineer
  • Strong software engineering fundamentals (system design, data structures, object-oriented programming, testing strategies, and end-to-end development lifecycle)
  • Strong understanding of creating and maintaining data models (conceptual, logical, and physical), including dimensional and normalized modeling approaches
  • Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure)
  • Experience with large-scale distributed data processing and performance tuning
  • Hands-on experience with modern data warehousing/lakehouse technologies. Strong SQL skills and experience with SQL-based transformation tooling
  • Experience designing and operating orchestration pipelines using Airflow or similar tools
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity
  • Ability to review and validate AI-assisted outputs (e.g., model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements
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