Data engineer jobs in White Plains, NY and nearby

Data engineer jobs within 25 miles of White Plains, NY. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 2, 2026

Hiring at a glance

View jobs

Open jobs: 114
Employers: 57

Advertised starting pay

Average starting payUSD / year: $145,455Across 11 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 4%4 listings
On-site: 4%4 listings

Not specified: 93% (106 listings)

Employers hiring include IBM (15), MCKINSEY AND COMPANY INC (9), Deloitte US (6).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in White Plains, NY and nearby

Within 25 miles

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Added 13 hours ago
Data Engineer-Consultant- AI&E
Deloitte US
Jericho, NY
…wants to work in a collaborative environment? As an experienced Data Engineer Consultant you will have the ability to share new ideas and collaborate on projects as a consultant without the…
Added 13 hours ago
Data Engineer- Consultant AI& E
Deloitte US
Stamford, CT
…wants to work in a collaborative environment? As an experienced Data Engineer-Consultant you will have the ability to share new ideas and collaborate on projects as a consultant without the…
Added 14 hours ago
Data Engineer
Deloitte US
Jericho, NY · Stamford, CT
…wants to work in a collaborative environment? As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive…
Added 18 hours ago
Management Consultant - Data Engineer
IBM
Norwalk, CT
Added 22 hours ago
Management Consultant - Data Engineer
IBM
Yorktown Heights, NY · Armonk, NY
Added 22 hours ago
Staff Data Engineer Slack
Salesforce.com
NEW YORK, NY
Added 3 days ago
Manager, Ignition Data Engineer (Tax)
KPMG LLP
NEW YORK, NY
Added 3 days ago
Senior Associate, Ignition Tax Data Engineer
KPMG LLP
NEW YORK, NY
Added 3 days ago
Data Engineer (SMTS / LMTS) MDM
Salesforce.com
NEW YORK, NY
Added 3 days ago
Senior Data Engineer
Trexquant Investment
Stamford, CT
Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data infrastructure that powers our quantitative research platform. This role is responsible for…
Added 4 days ago
Data Engineer
Intercontinental Exchange (ICE)
New York, NY
ICE Data Services, a part of Intercontinental Exchange, is seeking a Data Engineer to join our Derivatives Market Data team. This group supports critical processes across front, middle, and…
Added 4 days ago
Data Engineer Data Engineer III
Apex Systems, Inc.
NEW YORK, NY
Job Description:Data Engineer - Data Engineer IIILocation: New York, New York (Onsite)COMPENSATION: $83 - $93 HOURLYRole OverviewAs a Data Engineer on the team, you will routinely solve…
Added 4 days ago
C++ Market Data Engineer (USA)
Trexquant Investment
Stamford, CT
…expanding global trading operations, we are seeking a C++ Software Engineer to design and build high throughput / low-latency market data infrastructure. This is a high-impact role that…
Added 5 days ago
Data Engineer
IBM
New York, NY
Added 5 days ago
Data Engineer
IBM
New York, NY
Added 5 days ago
SVP Senior C++ Market Data Engineer
Insight Global
New York, NY
A client of Insight Global is seeking a senior C++ engineer to build and evolve market data platforms supporting electronic equities trading. This individual will work on high-performance…
Added 5 days ago
Java/SQL Data Engineer - INTL India
Insight Global
New York, NY
We are seeking a Data Engineer to join a team responsible for building and supporting the data platforms that power critical financial reporting and business metrics across the…
Added 5 days ago
AS
Data Engineer III AMZ9890609
Amazon.com Services LLC
NEW YORK, NY
- $170,000 to $230,000 USD / year
MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLCOffered Position: Data Engineer IIIJob Location: New York, New YorkJob Number: AMZ9890609 Position Responsibilities: Design,…
Added 5 days ago
Senior Data Engineer, Telemetry & Analytics Tooling
Interactive Brokers
Greenwich, CT
Added 5 days ago
Senior Data Engineer
Interactive Brokers
Greenwich, CT
…150 markets across 200+ countries and territories. We are a…
Added 6 days ago
Senior Analytics Data Engineer
Government Employees Insurance Company
Melville, NY
Added 9 days ago
Data Engineer-Consultant- AI&E
Deloitte
New York, NY · Jericho, NY
…wants to work in a collaborative environment? As an experienced Data Engineer Consultant you will have the ability to share new ideas and collaborate on projects as a consultant without the…
Added 9 days ago
Data Engineer and Analytics Platform Manager - Assistant Director
EY
Stamford, CT · Jericho, NY · Hoboken, NJ
Added 10 days ago
RH
Data Engineer
Robert Half
Saddle Brook, NJ
- $75 USD / hour
We are looking for a Data Engineer to join a Chemicals Manufacturing organization in New Jersey in a contract-to-permanent capacity. This role focuses on creating reliable, secure, and…
Added 10 days ago
Senior Data Engineer
Bullwhip Technologies LLC
DOBBS FERRY, NY

Capgemini

Senior Data Engineer - Databricks

New York, NY, United States

The base compensation range for this role in the posted location is: $89,400 - $166,398.

Apply About employer

Applications open in a new tab.

Job details

Pay: The base compensation range for this role in the posted location is: $89,400 - $166,398.
Experience: 5+ years of Delivery and Project Management experience
Posting language: English
Posted: Oct 15, 2026

Original job description

Senior Data Engineer - Databricks

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

This role is onsite in NYC, NY.

About the job you're considering

Capgemini is hiring a Databricks Data Engineer in NYC. The ideal candidate will lead the design and optimization of scalable data lakehouse solutions while managing end-to-end project delivery, production support, stakeholder relationships, budgets, and service performance. This person will serve as both a technical leader and a trusted client-facing advisor, ensuring high-quality data solutions are delivered efficiently, reliably, and within contractual commitments.

Your role

Develop and maintain datalakehouse architectures for structured and unstructured data.
Optimize data workflows for performance, scalability, and cost efficiency.
Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
Monitor and troubleshoot data pipelines, ensuring reliability and accuracy.
Integrate Databricks with cloud services (AWS, Azure, or GCP) and other enterprise systems.
Oversee daily support operations, resolving client complaints within SLAs, and drive regular cross-platform training to build product and system knowledge across the team.
Track support metrics (ticket volume, resolution time, CSAT) and maintain SOPs to keep the team consistent, efficient, and culturally healthy, including regular team rotations.
Manage automation/enhancement of supported applications, build ThoughtSpot dashboards and custom reports, and transition new applications into support.
Track project costs across GCP and Snowflake, propose cost-saving initiatives, and present monthly cost analyses to clients.
Deliver monthly support summaries, proactively flag data issues before they escalate, and coordinate with cross-functional teams (Adserver, Finance, Product, Yield, Cadent, etc.).

Skills and experience

5+ Years of Design and implement ETL/ELT pipelines using Databricks and Apache Spark.
Strong proficiency in Python, SQL, and PySpark.
5+ years of Delivery and Project Management experience
Knowledge of Delta Lake, datalakehouse concepts, and streaming data.
Familiarity with CI/CD pipelines, version control (Git), and DevOps practices.
Understanding of data modeling, data warehousing, and performance tuning.
Hands-on experience with cloud platforms (AWS, Azure, or GCP).

The base compensation range for this role in the posted location is: $89,400 - $166,398.

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.

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.

Ref. code: 574229

Posted on: Oct 14, 2026

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

New York, US

Brand: Capgemini

Professional Community: Data & AI

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.

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More about this job

Skills

Databricks
Unstructured data
Troubleshoot
AWS
Microsoft Azure
Google Cloud
Snowflake
Data engineering
Apache Spark
Python
SQL
PySpark
Project management
CI/CD
Git
DevOps
Data modelling
Data warehousing
Onboarding

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