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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INTRODUCTION
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Location - NYC NY (Day One Onsite - Hybrid)
ABOUT THE ROLE
- We are seeking a Cloud Data Engineering Solution Leader to innovate, define, and build an autonomous Agentic Data Platform spanning data engineering and data management across multiple hyperscalers and cloud ecosystems.
- The platform will accelerate data modernization and enable our Financial Services covering Banking and Insurance clients to be 'AI‑ready' and 'agentic‑ready' through reusable architecture, accelerators, and enterprise‑grade operationalization.
KEY RESPONSIBILITIES
- Own the end‑to‑end vision, strategy, and roadmap for an autonomous Agentic Data Platform (data engineering + data management) across Azure, AWS, Google Cloud, Databricks, Snowflake, and hybrid environments.
- Lead solution architecture and engineering to deliver a configurable, metadata‑driven platform with reusable accelerators and reference implementations.
- Institutionalize a single core codebase (with governed branching) and modern DevSecOps practices for secure, repeatable releases.
- Establish and govern always‑on demo/reference environments for GTM, partner showcases, and client PoCs; define funding and cost‑governance (FinOps) to sustain environments.
- Build autonomous capabilities for ingestion, transformation, quality, lineage, policy enforcement, AI governance/guardrails, and single‑pane observability, including 'self‑healing' patterns.
- Drive evolution of data products and semantic layers to enable trusted, business‑ready consumption and AI use cases at scale.
- Partner with Sales, GTM, and Alliances to shape differentiated propositions (Fixed Bid / Managed Services / outcome‑based), support strategic pursuits/RFPs, and jointly build partner momentum.
- Own adoption: enable delivery teams, define operating model & documentation, and ensure no dependency on any one individual.
- Provide technical governance across active engagements where the solution is implemented or committed, ensuring delivery success and continuous improvement.
REQUIRED SKILLS
- 15+ years of experience in data platforms, data engineering, and/or data management; with 5+ years leading solution architecture, platform engineering, or productized accelerators.
- Multi‑cloud experience across at least two hyperscalers (Azure/AWS/GCP) and modern data platforms (e.g., Databricks, Snowflake).
- Strong expertise in modern data engineering patterns (batch/streaming, CDC, orchestration), lakehouse architectures, and scalable data operations.
- Deep knowledge of data management disciplines: governance, metadata, data quality, lineage, MDM/reference data, privacy/security controls.
- Experience embedding AI/GenAI/Agentic AI into data operations to deliver measurable efficiency and reliability improvements.
- Proven ability to influence senior stakeholders (CIO/CDO/CTO) and translate complex technology into business outcomes.
- Strong leadership in global, matrixed organizations - able to build communities, mentor teams, and drive execution through ambiguity.
- Experience with agent orchestration frameworks and patterns (tool use, planning, memory), retrieval/grounding (RAG), and enterprise evaluation/observability for agentic systems.
- Experience building industry accelerators for regulated environments (Banking, Capital Markets, Insurance) including governance and audit requirements.
- Background in managed services / platform operations (SRE, reliability engineering) and cost optimization across data platforms.
WHY JOIN
- You will shape the next generation of autonomous data platforms and help global Financial Services clients accelerate modernization and AI adoption.
- This is a high‑impact role with visibility across senior leadership, strategic partners, and priority client programs.
LIFE AT CAPGEMINI
Capgemini supports all aspects of your well‑being throughout the changing stages of your life and career. For eligible employees, we offer:
- Flexible work
- Healthcare including dental, vision, mental health, and well‑being programs
- Financial well‑being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well‑being benefits like subsidized back‑up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
- Disaster Relief
DISCLAIMER
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
SALARY TRANSPARENCY
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue‑based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $155000 to $210000 /yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
The base compensation range for this role in the posted location is: $155000 to $210000.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
IMPORTANT NOTICE: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
DISCLAIMERS
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
See All 350+ Cloud Data Engineer Jobs in New York
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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
- New York Life17

- Capgemini15

- Capital One13

- Point7211

- DoubleVerify9

Top Industries Hiring
- Technology & Software136
- Investment & Asset Management51
- Consulting & Professional Services29
- Banking & Financial Services25
- Insurance20
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 New York Life, Capgemini, and Capital One, based on current listings on Migrate Mate as of June 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, New York City, and Brooklyn 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 37% of cloud data engineer openings tied to New York are remote or hybrid as of June 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 350+ Cloud Data Engineer Jobs in New York
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