ZipRecruiter

Log In

1

Trainee Databricks Data Engineer Jobs in Princeton, NJ

KPMG

Senior Associate, Data Engineer - Databricks

New York, NY · On-site

$116K - $157K/yr

Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer; preferably Databricks certified * Bachelor's degree in ...

New

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Job Title: Sr Data engineer Location : NYC Experience - 8+ 5 Days Onsite Look for only New york and ... or Databricks, alternatively Hadoop), atleast one relational data stores (Postgres, Oracle or ...

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Sr. Data Engineer New York (35 Miles) Experience: 10+ Years :- Required Skills: * 1.Proficiency in ... or Databricks, alternatively Hadoop), atleast one relational data stores (Postgres, Oracle or ...

Databricks

Sr. Product Manager - Technical

New York, NY · On-site

$156K - $215K/yr

... Databricks Data Intelligence Platform and identify opportunities to improve the product experience.You will act as a bridge between technical field teams and product and engineering . Insights from ...

Dlapiper

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Sigma Computing

Data Engineer

New York, NY · On-site

$140K - $180K/yr

As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both ...

Spgi

Head of Engineering - Inbound Data

Princeton, NJ · On-site

$185K - $265K/yr

Lead and scale a world-class engineering organization of 100+ data engineers, ML engineers, and ... Deep expertise in Databricks Data Intelligence Platform including Unity Catalog, Delta Lake ...

Spgi

Head of Engineering - Inbound Data

New York, NY · On-site

$185K - $265K/yr

Lead and scale a world-class engineering organization of 100+ data engineers, ML engineers, and ... Deep expertise in Databricks Data Intelligence Platform including Unity Catalog, Delta Lake ...

Staffingine LLC

Oracle Fusion Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Job Title: Oracle Fusion Data Engineer Job Location: Princeton, New Jersey Job Type: Contract ... Databricks Platform Expertise * Leverage Databricks functionalities such as Delta Lake Unity ...

Databricks

Staff Backend Software Engineer

New York, NY · On-site

$190K - $261K/yr

P-1592 At Databricks, we are passionate about enabling data and AI teams to solve the world ... Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical ...

previous pagenext page

Showing results 21-40

All JobsDatabricks Data Engineer JobsTrainee Databricks Data Engineer JobsTrainee Databricks Data Engineer Jobs in Princeton, NJ

Trainee Databricks Data Engineer information

See Princeton, NJ salary details

$46.6K

$136K

$186.1K

How much do trainee databricks data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for trainee databricks data engineer in Princeton, NJ is $135,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $144,100.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are the most commonly searched types of Databricks Data Engineer jobs in Princeton, NJ?

The most popular types of Databricks Data Engineer jobs in Princeton, NJ are:

What are popular job titles related to Trainee Databricks Data Engineer jobs in Princeton, NJ?

For Trainee Databricks Data Engineer jobs in Princeton, NJ, the most frequently searched job titles are:

What job categories do people searching Trainee Databricks Data Engineer jobs in Princeton, NJ look for?

The top searched job categories for Trainee Databricks Data Engineer jobs in Princeton, NJ are:

What cities near Princeton, NJ are hiring for Trainee Databricks Data Engineer jobs?

Cities near Princeton, NJ with the most Trainee Databricks Data Engineer job openings:

Trainee Databricks Data Engineer jobs near you
Infographic showing various Trainee Databricks Data Engineer job openings in Princeton, NJ as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 6% Part Time, and 1% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $135,977 per year, or $65.4 per hour.

Senior Associate, Data Engineer - Databricks

KPMG

New York, NY • On-site

$116K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Senior Associate, Data Engineer for our Consulting practice.

Responsibilities:
  • Assist with technical design and development activities and lead a small workstream for implementation of large-scale data solutions in Databricks to support multiple use cases (delta lake, reporting and analytics, AI/ML)
  • Support design and development of technology and data architectures to support client solutions leveraging best practices for cloud data warehouse migrations
  • Capture and translate business and technical requirements, perform hypothesis-driven consulting and lead project management and client relationship development
  • Translate advanced business data, integration and analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains; communicate results and educate others through design and build of insightful visualizations, reports and presentations
  • Exhibit strong knowledge of the Databricks ecosystem and can clearly articulate the value proposition of cloud modernization/transformation to a wide range of stakeholders
Qualifications:
  • Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer; preferably Databricks certified
  • Bachelor's degree in Engineering, Information Technology, Computer Science or a related field from an accredited college/university
  • Experience in leading projects relating to cloud modernization, data migration, data warehousing experience with cloud-based data platforms (Databricks) and experience with (preferably driving) technical workshops with technical and business clients to derive value added services and implementations
  • Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms; experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP; hands-on technical experience with SQL and Apache Spark
  • Strong verbal/written communication skills with ability to effectively interact with individuals at most levels of responsibility and authority; preferably will be able to prioritize, delegate and foster the development of high-performance teams to lead/support an environment driven by customer service and teamwork
  • Highly analytical and detail oriented; highly motivated with strong sense of urgency; quick learner and builds skills in technical areas which support the deployment and integration of Databricks-based solutions to drive customer projects
  • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future and travel as needed
KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

Follow this link to obtain salary ranges by city outside of CA: 
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M179ADV_4_26
KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. 

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Apply