Data Engineer Jobs in New York
Data Engineer jobs in New York are among the most active in the country, concentrated in financial services, media and advertising technology, healthcare systems, and enterprise software, with openings at every level from junior to staff and principal engineer. The heaviest hiring is in New York City, with additional demand in Albany and Buffalo tied to state government modernization and regional healthcare networks. Established employers with deep roots in New York data infrastructure include JPMorgan Chase, Verizon, and Memorial Sloan Kettering Cancer Center. The most sought-after specialties are cloud data platform engineering, real-time streaming pipelines, and data lakehouse architecture. Find a role that fits below and apply directly.
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Showing 4 of 190+ Data Engineer jobs
DESCRIPTION
Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high-quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.
SDS is part of the Sales Intelligence, Technology, & Enablement organization (SITE). We are a big-data focused engineering team that provides unique, pan-Amazon datasets consolidating advertiser, seller, and vendor KPIs, exposed via data warehousing, fast APIs and agentic solutions. Our data platform is designed to serve Sales teams across WW Advertising orgs for various applications including business processes, ML, account management, marketing, and decisioning systems.
Key job responsibilities
- Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift.
- Develop and manage ETLs to source data from various data lakes and create unified data model for analytics and reporting.
- Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
- Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
- Manage numerous requests concurrently and strategically, prioritizing when necessary collaborate across teams to deliver results.
- Mentor other engineers, influence positively team culture, and help grow the team.
A day in the life
You will work closely with the Business Intelligence Engineers, Data Scientists, Product Managers, Software Development teams and other business stakeholders on many unique business problems and use creative problem solving to deliver actionable output in data gathering, transformation, ingestion and storage. You should be able to gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. As a DE, you will be regularly mentoring junior engineers, developing technical your leadership, and contributing to the design and implementation of highly available, scalable, stable, secure, and cost-effective analytic solutions.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, NY, New York - 145,300.00 - 196,600.00 USD annually
USA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually
DESCRIPTION
Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high-quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.
SDS is part of the Sales Intelligence, Technology, & Enablement organization (SITE). We are a big-data focused engineering team that provides unique, pan-Amazon datasets consolidating advertiser, seller, and vendor KPIs, exposed via data warehousing, fast APIs and agentic solutions. Our data platform is designed to serve Sales teams across WW Advertising orgs for various applications including business processes, ML, account management, marketing, and decisioning systems.
Key job responsibilities
- Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift.
- Develop and manage ETLs to source data from various data lakes and create unified data model for analytics and reporting.
- Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
- Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
- Manage numerous requests concurrently and strategically, prioritizing when necessary collaborate across teams to deliver results.
- Mentor other engineers, influence positively team culture, and help grow the team.
A day in the life
You will work closely with the Business Intelligence Engineers, Data Scientists, Product Managers, Software Development teams and other business stakeholders on many unique business problems and use creative problem solving to deliver actionable output in data gathering, transformation, ingestion and storage. You should be able to gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. As a DE, you will be regularly mentoring junior engineers, developing technical your leadership, and contributing to the design and implementation of highly available, scalable, stable, secure, and cost-effective analytic solutions.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, NY, New York - 145,300.00 - 196,600.00 USD annually
USA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually
See All 190+ Data Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Data Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software10
- Investment & Asset Management2
- Insurance1
- Medical Devices1
- News & Publishing1
What New York Employers Look For
The qualifications that appear most often in data engineer jobs across New York.
- Bachelor's degree in computer science, engineering, or a related quantitative field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience building and maintaining ETL or ELT data pipelines
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud
- Experience with distributed processing frameworks like Apache Spark or Kafka
- Knowledge of data modeling concepts and warehouse tools such as Snowflake or dbt
Data Engineer Jobs in New York: Frequently Asked Questions
How do you become a data engineer in New York?
Data engineering has no state-issued license in New York, so the path runs through education and demonstrated technical skill. Employers in New York typically expect a bachelor's degree in computer science, information systems, or mathematics, combined with hands-on experience in cloud platforms and pipeline tooling. Strong candidates build a portfolio of end-to-end pipeline projects, earn vendor certifications from AWS or Google Cloud, and target entry analyst or junior data engineering roles at New York's large financial institutions, hospital networks, or technology firms.
Which companies hire data engineers in New York?
Employers hiring data engineers in New York right now include Amazon, Meta, and Capital One, based on current listings on Migrate Mate as of November 2026. New York's concentration of global financial institutions, major media companies, and large healthcare systems means consistent year-round demand across industries, not just in technology-native firms.
Which New York cities have the most data engineer jobs?
New York, Manhattan, and Troy account for the most data engineer openings in New York. New York City drives the majority of listings because of its density of financial services headquarters, advertising technology companies, and large hospital systems, while Albany and Buffalo generate steady demand through state agency data modernization programs and regional healthcare networks anchored by employers like Albany Med and Kaleida Health.
Are there remote data engineer jobs in New York?
Yes, and more than most fields. About 81% of data engineer openings tied to New York are remote or hybrid as of November 2026, reflecting the desk-based, cloud-native nature of the work. Pipeline engineering, data modeling, and analytics platform roles are the most consistently remote, while positions that involve on-premises infrastructure or close collaboration with trading floors and clinical systems tend to require in-office presence.
How can I get hired as a data engineer in New York with little or no experience?
The most realistic entry path is through a data analyst or analytics engineer role, which large New York employers use as a feeder into full pipeline engineering positions. JPMorgan Chase, Citi, and NYU Langone Health run formal technology analyst programs that accept recent graduates with no prior industry experience. Building a public portfolio on GitHub with demonstrated ETL and SQL projects, earning a cloud associate certification, and targeting these structured new-grad programs gives candidates without experience the strongest foothold in the New York market.
Where can I find and apply to data engineer jobs in New York?
You can find and apply to data engineer jobs in New York on Migrate Mate, which lists current New York openings updated in real time. Search the available roles, find the ones that match your skills and location, and apply directly to the employers posting them.
See All 190+ Data Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Data Engineer Jobs