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Full Time Databricks Developer Jobs in New York (NOW HIRING)

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Azure SQL Developer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

Weehawken NJ (Hybrid) Type : Full time / Direct Hire Job Details: * TSQL Programmer and Batch ... Establishing the cloud connectivity between different system like ADLS ,ADF, Synapse, Databricks ...

Senior AI Developer

Manhattan, NY · On-site

$125K - $140K/yr

New York, United States Type: Full-time Department: Technology Job Summary We are seeking a Senior ... Work with modern data platforms including Snowflake, Databricks, and Lakehouse architectures as ...

Senior AI Developer

Manhattan, NY · On-site

$125K - $140K/yr

New York, United States Type: Full-time Department: Technology Job Summary We are seeking a Senior ... Work with modern data platforms including Snowflake, Databricks, and Lakehouse architectures as ...

Senior Data Ops Engineer

New York, NY · On-site

$125K - $150K/yr

Data Orchestration - Airflow / ADF / Databricks Workflows * CI/CD Tools - Azure DevOps / GitHub ... Benefits: As a full-time employee of the company or as an hourly employee working more than 30 ...

Data Modeler

New York, NY · On-site

$60 - $77.75/hr

Modeller Location: New York, NY (onsite) job Type: full time Skill: Data Modeler Must Have ... ER Studio and Data Modeling expertise, Delivery of Data products leveraging Databricks on AWS ...

Data Access Developer

New York, NY · On-site

$128K - $196K/yr

Emp Status Regular Full time Work Shift Compensation Range The base pay scale for this position is ... Architect and manage curated, analytics-ready datasets and data models within the Databricks ...

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Full Time Databricks Developer information

What are the key skills and qualifications needed to thrive as a Full Time Databricks Developer, and why are they important?

To thrive as a Full Time Databricks Developer, you need expertise in data engineering, Spark programming, and proficiency in languages like Python or Scala, often backed by a degree in computer science or related fields. Familiarity with Databricks platform, Azure or AWS cloud services, and certifications such as Databricks Certified Data Engineer are commonly expected. Strong problem-solving abilities, attention to detail, and effective collaboration skills help you stand out in this role. These skills ensure efficient data processing, reliable pipeline development, and seamless teamwork for delivering scalable analytics solutions.

What is the difference between Full Time Databricks Developer vs Data Engineer?

AspectFull Time Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformBuilding, maintaining, and optimizing data infrastructure and pipelines across various platforms
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data architecture
Work EnvironmentCollaborates closely with data scientists and analysts within cloud-based environmentsWorks with data infrastructure teams, cloud services, and data storage systems

While both roles require expertise in Spark, SQL, and cloud platforms, a Full Time Databricks Developer primarily focuses on developing data solutions within the Databricks environment, whereas a Data Engineer has a broader scope, managing overall data infrastructure and pipelines across multiple platforms.

What are the typical collaboration expectations for a Full Time Databricks Developer within a data engineering team?

As a Full Time Databricks Developer, you’ll frequently collaborate with data engineers, data scientists, and business analysts to design, build, and optimize data pipelines and workflows. Expect to participate in agile ceremonies, code reviews, and cross-functional meetings to ensure alignment on project goals and data requirements. Communication is key, as you’ll often translate technical concepts for non-technical stakeholders and work together to resolve data quality, performance, or integration challenges. This collaborative environment not only fosters innovation but also provides opportunities to broaden your skills and contribute to impactful business solutions.

What are Full Time Databricks Developers?

Full Time Databricks Developers are professionals who specialize in using the Databricks platform to process, analyze, and manage big data. They build and maintain data pipelines, develop ETL processes, and work with tools such as Apache Spark, Python, and SQL to turn raw data into actionable insights. These developers often collaborate with data scientists, engineers, and business stakeholders to implement scalable data solutions. Working full time means they are dedicated employees, typically with responsibilities that include troubleshooting data issues, optimizing performance, and ensuring data security within the Databricks environment.
What are the most commonly searched types of Databricks Developer jobs in New York? The most popular types of Databricks Developer jobs in New York are:
What are popular job titles related to Full Time Databricks Developer jobs in New York? For Full Time Databricks Developer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Full Time Databricks Developer jobs in New York look for? The top searched job categories for Full Time Databricks Developer jobs in New York are:
What cities in New York are hiring for Full Time Databricks Developer jobs? Cities in New York with the most Full Time Databricks Developer job openings:
Infographic showing various Full Time Databricks Developer job openings in New York as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Databricks Engineer

Capgemini

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

95th of 220 rated it services


Job description

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 Description
  • Design enterprise-scale Lakehouse architecture using Databricks.
  • Define target-state data platform architectures and migration roadmaps.
  • Develop reference architectures, reusable frameworks, and accelerator solutions.
  • Establish enterprise data governance, security, and operational standards.
  • Well versed with role based access controls, data masking, developing models with Unity Catalog to enable secure sharing and ensure classification, lineage, and auditability.
  • Hands on experience with Py-Spark job development and implementation
  • Familiarity with CI/CD methods desired
  • Background working with orchestration tools, such as Airflow
  • Strong knowledge of Unity Catalog and large scale governance.
  • Experience in advance features of data bricks like Databricks Apps, Delta sharing
  • Knowledge of real time and streaming integration.

The base compensation range for this role in the posted location is: 79,000 to 106,000.
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.

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