Cloud Data Engineer Jobs in New York
Cloud Data Engineer jobs in New York are among the most actively recruited technical roles in the state, concentrated in financial services, media, healthcare technology, and enterprise software across a seniority range from junior data engineers through principal architects. The largest hiring hubs are New York City, Buffalo, and Albany, where employers like JPMorgan Chase, Verizon, and IBM maintain significant engineering footprints. The most in-demand specialties include cloud pipeline architecture, real-time streaming on AWS and Google Cloud, and data lakehouse design. Find a role that fits below and apply directly.
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Showing 5 of 15+ Cloud Data Engineer jobs
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of quota-carrying enterprise sales experience.
- Experience building business cases through workshops or product demos to business executives.
- Experience developing partnerships with technical stakeholders (e.g., Enterprise Architects, Data Engineers, Data Scientists).
- Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.
Preferred qualifications:
- Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against legacy or other proprietary enterprise systems.
- Experience working with Global System Integrators, hyperscalers, or ISVs to co-sell and accelerate pipeline.
- Experience closing large-scale data and AI transformation deals within specific regulated or high-growth enterprise verticals (e.g., Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing).
- Practical understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As an Agentic Data Cloud Sales Specialist, you will be at the forefront of driving Google Cloud's most critical data and AI growth. In this role, you will drive growth by securing new greenfield logos and identify untapped, uncommitted workloads. You will partner with field sales representatives, customer engineers, and partners to execute joint Data+AI plays that establish long-term data platform standardization.
You are a master of value-selling and will engage with Line-of-Business (LoB) leaders, CDO, CAIO, and CFO to discover critical pain points, build robust business cases (ROI/TCO reduction), and demonstrate the quantifiable business value of modernizing data estates on GCP.
You will guide technical stakeholders and position Google Cloud's Agentic Data Cloud suite (BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, AlloyDB) as the premium data intelligence platform for AI. You will present demos that showcase how unified, well-governed data foundations power secure, hallucination-free AI agents and real-time experiences.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $138000 - $200000 (USD) + 100% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Deliver against quota and achieve or exceed strategic business and growth goals. Drive new greenfield logos and workloads in existing accounts through proactive campaigns.
- Run complex, multi-threaded business cycles from initial discovery and value hypothesis to ROI business case creation and commercial close.
- Engage LoB leaders, Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, and Chief AI Officer through value-selling, tying modern Data & AI capabilities to quantified business outcomes.
- Align cross-functionally with FSRs and partners to execute joint Data+AI plays, driving platform standardization and co-sell motions.
- Whiteboard modern architectures (BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of quota-carrying enterprise sales experience.
- Experience building business cases through workshops or product demos to business executives.
- Experience developing partnerships with technical stakeholders (e.g., Enterprise Architects, Data Engineers, Data Scientists).
- Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.
Preferred qualifications:
- Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against legacy or other proprietary enterprise systems.
- Experience working with Global System Integrators, hyperscalers, or ISVs to co-sell and accelerate pipeline.
- Experience closing large-scale data and AI transformation deals within specific regulated or high-growth enterprise verticals (e.g., Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing).
- Practical understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As an Agentic Data Cloud Sales Specialist, you will be at the forefront of driving Google Cloud's most critical data and AI growth. In this role, you will drive growth by securing new greenfield logos and identify untapped, uncommitted workloads. You will partner with field sales representatives, customer engineers, and partners to execute joint Data+AI plays that establish long-term data platform standardization.
You are a master of value-selling and will engage with Line-of-Business (LoB) leaders, CDO, CAIO, and CFO to discover critical pain points, build robust business cases (ROI/TCO reduction), and demonstrate the quantifiable business value of modernizing data estates on GCP.
You will guide technical stakeholders and position Google Cloud's Agentic Data Cloud suite (BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, AlloyDB) as the premium data intelligence platform for AI. You will present demos that showcase how unified, well-governed data foundations power secure, hallucination-free AI agents and real-time experiences.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $138000 - $200000 (USD) + 100% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Deliver against quota and achieve or exceed strategic business and growth goals. Drive new greenfield logos and workloads in existing accounts through proactive campaigns.
- Run complex, multi-threaded business cycles from initial discovery and value hypothesis to ROI business case creation and commercial close.
- Engage LoB leaders, Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, and Chief AI Officer through value-selling, tying modern Data & AI capabilities to quantified business outcomes.
- Align cross-functionally with FSRs and partners to execute joint Data+AI plays, driving platform standardization and co-sell motions.
- Whiteboard modern architectures (BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.
See All 15 Cloud Data Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Cloud Data Engineer JobsCloud Data Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Cloud 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 & Software
What New York Employers Look For
The qualifications that appear most often in cloud data engineer jobs across New York.
- Bachelor's degree in computer science, data engineering, or a closely related technical field
- Hands-on experience with cloud platforms such as AWS, Google Cloud, or Microsoft Azure
- Proficiency in Python or Scala for building and maintaining data pipelines at scale
- Experience with distributed processing frameworks like Apache Spark or Apache Kafka
- Familiarity with data warehousing tools such as Snowflake, BigQuery, or Redshift
- Knowledge of SQL and data modeling practices for both relational and columnar storage systems
Cloud Data Engineer Jobs in New York: Frequently Asked Questions
How do you become a cloud data engineer in New York?
Cloud data engineering has no state-issued license in New York, so the path runs through education and vendor credentials. Most New York employers expect a bachelor's degree in computer science, information systems, or a related field, combined with certifications from AWS, Google Cloud, or Microsoft Azure. Building a portfolio of pipeline and lakehouse projects, then targeting associate or junior data engineer roles at New York financial institutions or technology firms, is the most direct route in.
How much do cloud data engineers make in New York?
Cloud data 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 cloud data engineers in New York?
Employers hiring cloud data engineers in New York right now include Google, Rippling, and Logic, based on current listings on Migrate Mate as of September 2026. New York's concentration of financial services and media companies means demand is particularly consistent at large banks, insurance carriers, and streaming platforms headquartered in the state.
Which New York cities have the most cloud data engineer jobs?
New York have the most cloud data engineer openings in New York right now. New York City dominates because the financial district, Midtown tech corridor, and media companies headquartered there generate sustained demand, while Buffalo and Albany attract openings tied to healthcare systems, state government technology initiatives, and growing regional tech campuses.
Are there remote cloud data engineer jobs in New York?
Yes, and more than most fields. Cloud data engineering is largely desk-based work that does not require on-site hardware access, making it well suited to remote arrangements. About 75% of cloud data engineer openings tied to New York are remote or hybrid as of September 2026, reflecting how broadly distributed cloud infrastructure work has become. Pipeline development, data modeling, and platform architecture tasks are the parts of the role most commonly performed fully remotely.
How can I get hired as a cloud data engineer in New York with little or no experience?
The most realistic entry path is an associate or junior data engineer role at a large New York financial institution or healthcare technology company, where structured onboarding programs exist for candidates who have completed a cloud certification but lack production experience. Companies like Citigroup and NYU Langone Health have historically brought in junior engineers through technology analyst programs. Lateral moves from data analyst, BI developer, or database administrator positions are also common, and an AWS or Google Cloud associate certification paired with a public portfolio of pipeline projects gives early-career candidates a concrete edge.
Where can I find and apply to cloud data engineer jobs in New York?
You can find and apply to cloud data engineer jobs in New York on Migrate Mate, which lists current New York openings updated regularly. Search the available roles, find the ones that match your background and target location, and apply directly to each one.
See All 15 Cloud Data Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Cloud Data Engineer Jobs