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Remote Internship Data Engineering Jobs in New York

This role will be hybrid, not remote. YOUR DAILY IMPACT AT PELOTON * Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process ...

Manager Data Engineering

Raritan, NJ · On-site +1

$117K - $140K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Manager Data Engineering

Raritan, NJ · On-site +1

$117K - $140K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Manager Data Engineering

New Brunswick, NJ · On-site +1

$118K - $141K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Manager Data Engineering

New Brunswick, NJ · On-site +1

$118K - $141K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key ... Perform data engineering and analytics tasks, including data ingestion, SQL orchestration, and data ...

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. * 2+ years of ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

The ideal candidate will have a strong background in data engineering principles, experience with ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

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Remote Internship Data Engineering information

What is the difference between Remote Internship Data Engineering vs Remote Internship Data Analyst?

AspectRemote Internship Data EngineeringRemote Internship Data Analyst
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentCollaborative teams, cloud platforms, coding tasksData reporting, analysis, visualization
Industry UsageTech, finance, healthcareMarketing, retail, finance

Remote Internship Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring coding and technical skills. In contrast, Remote Internship Data Analyst emphasizes analyzing data, creating reports, and visualizations. Both roles often share similar credentials but differ in daily tasks and technical depth, making them distinct yet related internship opportunities in data careers.

What job categories do people searching Remote Internship Data Engineering jobs in New York look for? The top searched job categories for Remote Internship Data Engineering jobs in New York are:
What cities in New York are hiring for Remote Internship Data Engineering jobs? Cities in New York with the most Remote Internship Data Engineering job openings:

Data Engineering Manager

Peloton

New York, NY • On-site, Remote

Other

Posted 28 days ago


Job description

ABOUT THE ROLE

Peloton is looking for a talented Data Engineering Manager to join the Data Engineering team. In this role, you will lead the DataOps function, driving operational excellence across our data platforms while managing the successful delivery of data initiatives through a combination of internal and offshore engineering resources.

You will work closely with business stakeholders, engineering teams, analytics partners, and platform owners to ensure our data ecosystem remains reliable, scalable, and well-governed. This role combines technical leadership, operational management, and stakeholder engagement, to help support Peloton's growing data and AI needs.

This role will be hybrid, not remote.

YOUR DAILY IMPACT AT PELOTON
  • Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process improvements
  • Manage and mentor offshore engineering resources, providing technical guidance, performance feedback, and delivery oversight
  • Partner with stakeholders across multiple business functions to gather requirements, prioritize work, and ensure successful delivery of data solutions
  • Own intake, prioritization, and execution processes for DataOps requests and operational support activities
  • Drive adoption of data engineering standards, ETL best practices, documentation requirements, and operational procedures
  • Serve as an operational owner for key data platforms, including Airflow, Airbyte, and Looker, owning platform governance activities such as user access reviews, compliance reviews, audit support, and operational controls
  • Coordinate incident management, root cause analysis, monitoring, alerting, and operational readiness efforts across the data platform
  • Help shape the long-term operating model for the Data Engineering team as Peloton continues to scale its data and AI initiatives
YOU BRING TO PELOTON
  • 5+ years of experience in data engineering, analytics engineering, software engineering, or related technical roles
  • 2+ years of experience leading technical teams, managing engineering projects, or coordinating offshore/vendor resources
  • Strong understanding of modern data engineering architectures, ETL/ELT patterns, and data platform operations
  • Hands-on working experience with data orchestration and integration platforms such as Airflow, Airbyte, DBT, or similar technologies
  • Proven ability to translate business requirements into technical solutions and coordinate delivery across multiple stakeholders
  • Experience designing and supporting monitoring, alerting, incident response, and operational support processes
  • Excellent communication, prioritization, and organizational skills with the ability to manage competing priorities
  • Strong SQL and data analysis skills, ideally with BigQuery
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Advanced degree preferred
BONUS
  • Experience administering or supporting compliance auditing for Looker, BigQuery, or other modern cloud analytics platforms
  • Experience managing distributed or offshore engineering teams
  • Experience building and scaling DataOps or platform operations functions
  • Experience implementing data quality, observability, lineage, or governance solutions
  • Experience supporting AI, machine learning, or self-service analytics initiatives
  • Experience working in Agile/Scrum environments and managing cross-functional technical programs

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