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Trainee Databricks Data Engineer Jobs in Princeton, NJ

... 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Sr. Product Manager - Technical

New York, NY · Remote

$182K - $211K/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 ...

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 ...

Our client is a hedge fund in NYC looking for a talented Data Engineer to join their team ... any exposure to Databricks would be a plus. Financial services experience is required, and ...

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 ...

Showing results 21-40

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 12, 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:
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.

Sr. Product Manager - Technical

Databricks

New York, NY • On-site

$156K - $215K/yr

Full-time

Re-posted 20 days ago


Job description

RDQ427R180
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
More about the team:
As a Technical Product Manager, you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences. This role requires you to deeply understand both functional and non-functional requirements, such as performance, scalability, security, and compliance and how customers meet these requirements today. You will evaluate how these workloads are implemented on the 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 customer PoCs, benchmarks, and real-world implementations will directly inform product decisions. You will also help ensure that product improvements are clearly communicated back to the field.
Depending on your background, you will focus on one of two critical product areas:
OLTP Databases
You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents.
Data Governance
You will help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the organization. This includes enabling governed access for AI-driven use cases (e.g. agent-based access via MCP or similar technologies).
The Impact you will have:
  • Identify and drive impactful product improvements in your domain of expertise
  • Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus)
  • Shape and prioritize a meaningful product roadmap
  • Support go-to-market efforts and guide product adoption
  • For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform
What we look for:
  • 5+ years of experience with a strong, hands-on technical background
  • Strong empathy for customers across full spectrum of Data Platform users
  • Deep domain expertise in one of the following:
    • Transactional databases (OLTP), cloud-native databases, or distributed systems
    • Data governance, data catalogs, lineage, and access management
  • Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance
  • Strong Python and SQL skills
  • Experience using AI-assisted development tools
  • Experience with systems design and architecture
  • Proven ability to work effectively across product, engineering, and technical field teams

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$156,600-$215,250 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.