Data Platform Engineer Jobs in New York
Data Platform Engineer jobs in New York rank among the most active markets in the country, concentrated in financial services, media, healthcare, and enterprise technology across a seniority range from junior engineers through staff-level architects. Most openings are based in New York City, with secondary clusters in Albany and Buffalo as state government and regional employers modernize their data infrastructure. Well-established employers such as JPMorgan Chase, Bloomberg, and Memorial Sloan Kettering maintain consistent demand for engineers skilled in cloud data warehousing, pipeline orchestration, and real-time streaming architectures. Find a role that fits below and apply directly.
Find Data Platform Engineer JobsOverview
Showing 5 of 46+ Data Platform Engineer jobs
- Advises the Product Solutions teams on solutioning and adopting new and existing client-facing products and capabilities while crafting complex solutions and assessing risk to enhance the customer experience
- Leverages extensive knowledge of a cluster of products and capabilities to manage the strategic development of end-to-end product solution strategies and processes
- Partners with Sales to advise on strategic pricing for deals, contributes to the development of sales training and collateral, and oversees Request for Proposal (RFP) responses
- Manages the collection of client feedback and oversees the delivery of feedback to Product teams
- Drives the development of strategy and roadmaps for data governance initiatives, including next-generation data governance tooling and AI-for-data capabilities
- Collaborates with stakeholders, subject matter experts, and engineers to understand use cases, requirements, and dependencies, critically assessing proposed solutions.
- Communicates complex ideas effectively to collaborators and senior leaders using precise terminology and relatable examples
- Balances timeliness with quality under tight deadlines, managing multiple priorities and cross-functional partnerships.
- Ensures end-to-end relevance to stakeholder needs, from gathering business requirements and working with technology teams to achieve successful delivery
- Defines and refines customer-centric solution approaches that connect data governance capabilities to measurable business outcomes.
- Partners with business, technology, and control stakeholders to deploy solutions into production effectively and responsibly
- 8+ years of experience or equivalent expertise leading and developing solutions across multiple teams and a cluster of products
- Extensive experience facilitating sales cycle activities and developing and optimizing strategies and processes
- Demonstrable experience structuring and handling complex solutions for business problems to meet clients' needs
- Understanding and hands-on experience building agentic AI systems within regulated or compliance-driven environments
- 8+ years of experience developing enterprise-wide data, data governance, or AI strategy for large, complex organizations.
- 8+ years of experience either as a product manager, product designer, engineer, data analyst, data scientist, or user researcher
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
- Curious, hardworking, and detail-oriented, and motivated by complex analytical problems.
- Ability to collaborate effectively with stakeholders, subject matter experts, and engineers to translate needs into clear requirements
- Ability to balance quality and speed under tight deadlines while managing multiple priorities and partnerships.
- Ability to drive end-to-end delivery—from business requirements through implementation—ensuring outcomes meet stakeholder needs
- Direct experience with MCP (Model Context Protocol) designing tool schemas, building MCP servers, managing tool surface exposure, or integrating MCP into an agent platform
- Experience in regulated industries (financial services, healthcare, or government) with practical exposure to model risk management, audit trails, and compliance-driven engineering constraints.
- Familiarity with agent security concerns: prompt injection, tool misuse, over-privileged tool access, and blast radius containment strategies
- Experience building evaluation frameworks for LLM-based systems, including production-grade evaluation pipelines with structured outputs and regression tracking.
- Exposure to cloud-native AI infrastructure (managed model endpoints, model gateways, token/cost observability, and multi-tenant serving considerations)
- Experience contributing to developer-facing SDK or platform tooling (designing APIs, writing effective documentation, iterating based on adoption signals).
- Familiarity with responsible AI practices as they apply to agents, including human oversight requirements, escalation paths, intervention hooks, and auditability standards
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
- Advises the Product Solutions teams on solutioning and adopting new and existing client-facing products and capabilities while crafting complex solutions and assessing risk to enhance the customer experience
- Leverages extensive knowledge of a cluster of products and capabilities to manage the strategic development of end-to-end product solution strategies and processes
- Partners with Sales to advise on strategic pricing for deals, contributes to the development of sales training and collateral, and oversees Request for Proposal (RFP) responses
- Manages the collection of client feedback and oversees the delivery of feedback to Product teams
- Drives the development of strategy and roadmaps for data governance initiatives, including next-generation data governance tooling and AI-for-data capabilities
- Collaborates with stakeholders, subject matter experts, and engineers to understand use cases, requirements, and dependencies, critically assessing proposed solutions.
- Communicates complex ideas effectively to collaborators and senior leaders using precise terminology and relatable examples
- Balances timeliness with quality under tight deadlines, managing multiple priorities and cross-functional partnerships.
- Ensures end-to-end relevance to stakeholder needs, from gathering business requirements and working with technology teams to achieve successful delivery
- Defines and refines customer-centric solution approaches that connect data governance capabilities to measurable business outcomes.
- Partners with business, technology, and control stakeholders to deploy solutions into production effectively and responsibly
- 8+ years of experience or equivalent expertise leading and developing solutions across multiple teams and a cluster of products
- Extensive experience facilitating sales cycle activities and developing and optimizing strategies and processes
- Demonstrable experience structuring and handling complex solutions for business problems to meet clients' needs
- Understanding and hands-on experience building agentic AI systems within regulated or compliance-driven environments
- 8+ years of experience developing enterprise-wide data, data governance, or AI strategy for large, complex organizations.
- 8+ years of experience either as a product manager, product designer, engineer, data analyst, data scientist, or user researcher
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
- Curious, hardworking, and detail-oriented, and motivated by complex analytical problems.
- Ability to collaborate effectively with stakeholders, subject matter experts, and engineers to translate needs into clear requirements
- Ability to balance quality and speed under tight deadlines while managing multiple priorities and partnerships.
- Ability to drive end-to-end delivery—from business requirements through implementation—ensuring outcomes meet stakeholder needs
- Direct experience with MCP (Model Context Protocol) designing tool schemas, building MCP servers, managing tool surface exposure, or integrating MCP into an agent platform
- Experience in regulated industries (financial services, healthcare, or government) with practical exposure to model risk management, audit trails, and compliance-driven engineering constraints.
- Familiarity with agent security concerns: prompt injection, tool misuse, over-privileged tool access, and blast radius containment strategies
- Experience building evaluation frameworks for LLM-based systems, including production-grade evaluation pipelines with structured outputs and regression tracking.
- Exposure to cloud-native AI infrastructure (managed model endpoints, model gateways, token/cost observability, and multi-tenant serving considerations)
- Experience contributing to developer-facing SDK or platform tooling (designing APIs, writing effective documentation, iterating based on adoption signals).
- Familiarity with responsible AI practices as they apply to agents, including human oversight requirements, escalation paths, intervention hooks, and auditability standards
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See All 46 Data Platform Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Data Platform Engineer JobsData Platform Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Data Platform 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 & Software
- Investment & Asset Management
- Consulting & Professional Services
- Medical Devices
- Science & Research
What New York Employers Look For
The qualifications that appear most often in data platform engineer jobs across New York.
- Bachelor's degree in computer science, data engineering, or a related technical field
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Proficiency building and maintaining ETL or ELT pipelines at production scale
- Expertise in distributed processing frameworks including Spark or Flink
- Experience with data warehouse platforms such as Snowflake, Redshift, or BigQuery
- Familiarity with orchestration tools like Apache Airflow or Prefect in a team environment
Data Platform Engineer Jobs in New York: Frequently Asked Questions
How do you become a data platform engineer in New York?
Data platform engineering has no state-issued license in New York, so the path runs through education and demonstrated technical skill. Most New York employers expect a bachelor's degree in computer science, information systems, or a related field, though strong candidates from bootcamps or self-study do break in. Building a portfolio of real pipeline projects, earning a cloud certification from AWS or Google, and targeting entry roles at New York financial institutions or tech companies are the most concrete steps toward a first position.
How much do data platform engineers make in New York?
Data platform engineers in New York earn a median of about $141,350 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $82,540 for the lowest 10% to over $216,550 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data platform engineers in New York?
Employers hiring data platform engineers in New York right now include adonis, JPMorganChase, and HAZEL, based on current listings on Migrate Mate as of September 2026. New York's deep concentration of financial services firms, media companies, and large healthcare networks means demand stays relatively consistent even when broader tech hiring slows.
Which New York cities have the most data platform engineer jobs?
New York, Manhattan, and Rochester have the most data platform engineer openings in New York. New York City dominates because the financial services, advertising technology, and enterprise software sectors headquartered there generate a disproportionate share of data infrastructure work, while Albany and Buffalo reflect state government modernization projects and regional hospital systems that have scaled their data operations in recent years.
Are there remote data platform engineer jobs in New York?
Yes, and more than most fields. About 89% of data platform engineer openings tied to New York are remote or hybrid as of September 2026, reflecting the fact that pipeline development and cloud infrastructure work are largely laptop-and-cloud disciplines with few physical site requirements. The parts of the role most likely to stay fully remote are data modeling, pipeline development, and warehouse administration, while on-call production support occasionally pulls engineers toward hybrid arrangements.
How can I get hired as a data platform engineer in New York with little or no experience?
The most realistic entry path is a data analyst or analytics engineer role at a New York financial firm or healthcare system, then moving laterally into platform work once you have production SQL and pipeline exposure. Large New York employers such as Citigroup and NYU Langone run rotational technology programs that place new graduates into data infrastructure teams. Building a public portfolio of Airflow DAGs or dbt models on GitHub, combined with an entry-level cloud certification, gives candidates without a conventional background a concrete signal of readiness that New York hiring managers respond to.
Where can I find and apply to data platform engineer jobs in New York?
You can find and apply to data platform engineer jobs in New York on Migrate Mate, which lists current New York openings updated regularly. Search the listings, find roles that match your experience and target location, and apply directly to the employers posting them. No profile creation is required to see or apply to the available positions.
See All 46 Data Platform Engineer Jobs in New York
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