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.
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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.
Jo Description
- Design and operate the Google Cloud resource hierarchy: organization, folders, and projects per environment and per tenant, with organization policy and labels
- Own identity and access: IAM roles (predefined and custom), service accounts, Workload Identity Federation, short-lived credentials, and least-privilege reviews
- Own networking: VPC design, Private Google Access, Private Service Connect, firewall policy, and DNS
- Implement VPC Service Controls perimeters and the controlled egress gate between the client and Capgemini environments
- Own encryption and secrets: Cloud KMS with customer-managed keys, Secret Manager, and key rotation
- Run Sensitive Data Protection (DLP) scanning and de-identification at the landing boundary, with audit logging and retention for PII reads
- Provide the control evidence that supports GLBA, Fair Lending, UDAAP, and TCPA/CAN-SPAM alignment
- Operate the data services: Cloud Storage lifecycle and retention, BigQuery administration (datasets, reservations, policy tags, row and column security, CMEK), Pub/Sub, Dataflow, Datastream, and Spanner including Spanner Graph
- Operate the application tier: Cloud Run services, Artifact Registry, Cloud Build, Cloud Scheduler, and Workflows, including run-time settings, scaling, and concurrency
- Provide the foundation Databricks on GCP needs: projects, VPC, service accounts, and GCS buckets
- Provision everything as code with Terraform, with CI/CD promotion gates, policy-as-code checks, and drift detection
- Own release management for Cloud Run services: revisions, traffic splitting, rollback, and image hygiene
- Own Cloud Logging, Monitoring, and Trace: service-level objectives, alerting, runbooks, and incident response
- Own disaster recovery and high availability design: backup, regional and multi-region choices, and RPO and RTO targets
- Own FinOps: billing export to BigQuery, budgets and alerts, labels, committed use and reservation decisions, and cost allocation per tenant
- Meet the serving contract the agentic layer depends on: predictable latency and per-client isolation
- 5+ years of cloud or platform engineering experience, including production Google Cloud
- Deep GCP fluency: IAM, VPC and Private Service Connect, VPC Service Controls, Cloud Run, BigQuery, Cloud Storage, Pub/Sub, and Cloud KMS
- Terraform and CI/CD for cloud infrastructure
- Security engineering on GCP: organization policy, audit logging, secrets management, CMEK, and Sensitive Data Protection
- Observability design: Cloud Monitoring, Logging, alerting, and service-level objectives
- Strong scripting in Python or Bash, and working SQL for BigQuery administration
- Experience in regulated industries, ideally financial services: data residency, consent frameworks, GLBA, Fair Lending, and UDAAP
- Ability to operate in client-facing consulting delivery contexts, translating business requirements into technical specifications
- Google Cloud Professional certification (Cloud Architect, Cloud Security Engineer, or Cloud DevOps Engineer)
- Operating Spanner (including Spanner Graph), Dataflow, and Datastream in production
- Databricks on GCP deployment: workspaces, networking, and Unity Catalog storage setup
- Multi-tenant isolation design and per-tenant cost allocation
- Infrastructure for clean rooms and privacy-preserving data exchange
- Familiarity with agent observability tooling (LangSmith, LangGraph) as a platform operator
The base compensation range for this role in the posted location is: 100000 to 118650
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.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
See All 37 Data Platform Engineer Jobs in New York
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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
- Banking & Financial 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 Bloomberg, based on current listings on Migrate Mate as of November 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 Buffalo 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 November 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 37 Data Platform Engineer Jobs in New York
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