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Trainee Databricks Data Engineer Jobs in Princeton, NJ

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

Sr. Software Engineer- Backend

New York, NY · On-site

$165K - $219K/yr

P-1591 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 ...

Rearc

Senior Data Engineer

New York, NY · On-site

$160K - $200K/yr

As a Senior Data Engineer at Rearc, you'll be the technical anchor on complex, client-facing data ... You'll bring deep, hands-on expertise with Databricks and the broader modern data stack, and you'll ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Carlyle

Data Engineer

New York, NY · On-site +1

$150K - $200K/yr

Position Summary We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal ... Proficient with Databricks/PySpark and dbt for data warehousing and data transformation tasks.

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

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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 13, 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:

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

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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.

Oracle Fusion Data Engineer

Staffingine LLC

Princeton, NJ • On-site

$120K - $144K/yr

Contractor

Re-posted 20 days ago

Job description

Job Title: Oracle Fusion Data Engineer 
Job Location: Princeton, New Jersey 
Job Type: Contract 

Job Description:  

  • Data Pipeline Development 

  • Design build and optimize robust ETLELT pipelines to ingest transform and load data from Oracle Fusion applications and other sources into the Databricks Lakehouse This involves using PySpark SQL and Databricks notebooks 

  • Databricks Platform Expertise 

  • Leverage Databricks functionalities such as Delta Lake Unity Catalog and Spark optimization techniques to ensure data quality performance and governance 

  • Oracle Fusion Integration 

  • Develop connectors and integration strategies to extract data from Oracle Fusion modules eg Financials HCM SCM using APIs SQL or other appropriate methods 

  • Data Modelling and Warehousing 

  • Design and implement data models within Databricks potentially following a medallion architecture to support analytical and reporting requirements 

  • Performance Optimization 

  • Tune Spark jobs and optimize data processing within Databricks for efficiency and cost effectiveness 

  • Data Quality and Governance 

  • Implement data quality checks error handling and data validation frameworks to ensure data integrity Adhere to data governance policies and security best practices 

  • Collaboration 

  • Work closely with data architects’ data scientists' business analysts and other stakeholders to understand data requirements and deliver solutions that meet business needs 

  • Automation and CICD 

  • Develop automation scripts and implement CICD pipelines for Databricks workflows and deployments 

  • Troubleshooting and Support 

  • Provide operational support troubleshoot data related issues and perform root cause analysis 

Required Skills and Qualifications 

  • Strong proficiency in Databricks 

  • Including PySparkScala Delta Lake Unity Catalog and Databricks notebooks 

  • Experience with Oracle Fusion 

  • Knowledge of Oracle Fusion data structures APIs and data extraction methods 

  • Expertise in SQL 

  • For querying manipulating and optimizing data in both Oracle and Databricks 

  • Cloud Platform Experience 

  • Familiarity with a major cloud provider eg AWS Azure GCP where Databricks is deployed 

  • Data Warehousing and ETLELT Concepts 

  • Solid understanding of data warehousing principles and experience in building and optimizing data pipelines 

  • Problem solving and Analytical Skills 

  • Ability to analyse complex data issues and propose effective solutions 

  • Communication and Collaboration 

  • Strong interpersonal skills to work effectively within cross functional teams