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

Senior Data Engineer | Emerging Products

New York, NY · On-site +1

$116K - $157K/yr

Work with Trino/Starburst and Databricks-based environments to optimize large-scale analytics ... We honor your flexibility needs with full-time work that is hybrid remote. * We have you covered ...

Senior Data Engineer | Emerging Products

New York, NY · On-site +1

$116K - $157K/yr

Work with Trino/Starburst and Databricks-based environments to optimize large-scale analytics ... We honor your flexibility needs with full-time work that is hybrid remote. * We have you covered ...

Data Engineer

New York, NY · On-site

$140K - $180K/yr

... Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and ... Benefits For Our Full-Time Employees: * Equity * Generous health benefits * Flexible time off ...

Hybrid - Bedminster, NJ Job Type: Full-Time About SDG Group SDG Group is a global consulting firm ... Databricks, and Microsoft. With proven experience across 700+ clients, we deliver Data & AI ...

Senior Data Engineer

Westport, CT · On-site +1

$130K - $150K/yr

Databricks Certified Data Engineer, AWS Data Analytics Specialty At Dynata, we deliver the highest ... full-time employment status.

Forward Deployed Engineer

New York, NY · On-site

$100K - $130K/yr

Analyze operational and historical data using SQL, Spark, and Databricks to identify root causes ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

... and Databricks to perform root-cause investigations and drive resolution outcomes. • Partner ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

Forward Deployed Engineer

Manhattan, NY · On-site

$100K - $130K/yr

Analyze operational and historical data using SQL, Spark, and Databricks to identify root causes ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

Showing results 41-60

Full Time Databricks Developer information

What is a full time Databricks developer?

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 key skills and qualifications needed to thrive as a full time Databricks developer?

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 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 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 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 September 2026, with employment types broken down into 84% Full Time, 7% Part Time, and 9% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution.

Lead Data Engineer (Python, AWS, Spark, SQL, Snowflake, Databricks, & GenAI) (Enterprise Platform...

New York, NY • On-site

Capital One
Funds, Trusts and Financial Programs • 10K+ employees

$125K - $150K/yr

Full-time

Posted 9 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz


Job description

Lead Data Engineer (Python, AWS, Spark, SQL, Snowflake, Databricks, & GenAI) (Enterprise Platforms Technology)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices.

What You'll Do:

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

  • Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems

  • Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake

  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:

  • Bachelor's Degree

  • At least 4 years of experience in application development (Internship experience does not apply)

  • At least 2 years of experience in big data technologies

  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

  • 7+ years of experience in application development including Python, SQL, Scala, or Java

  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

  • 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)

  • 4+ year experience working on real-time data and streaming applications

  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)

  • 4+ years of data warehousing experience (Redshift or Snowflake)

  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting

  • 2+ years of experience with Agile engineering practices

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Lead Data Engineer


New York, NY: $215,200 - $245,600 for Lead Data Engineer


Plano, TX: $179,400 - $204,700 for Lead Data Engineer


Richmond, VA: $179,400 - $204,700 for Lead Data Engineer


San Francisco, CA: $215,200 - $245,600 for Lead Data Engineer







Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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