1

Databricks Data Engineer Jobs in New Jersey (NOW HIRING)

Data Engineer

Woodbridge, NJ · On-site

$88K - $105K/yr

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks ...

Data Engineer

Iselin, NJ · On-site

$88K - $105K/yr

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks ...

Azure Databricks Engineer

Iselin, NJ · On-site

$61 - $79.25/hr

Data Pipeline Development: * Build and maintain scalable ETL/ELT pipelines using Databricks ... Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification ...

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Job Title: Data Engineer location : Princeton, NJ Minimum Mandatory Skills: ADF, Data Bricks ... Develop and optimize data processing workflows in Azure Databricks using PySpark . * Integrate data ...

Azure Data Engineer

Camden, NJ · On-site

$97K - $130K/yr

Azure Data Engineer Salary: $97,500-$130,000 Job Summary We are seeking an experienced Azure Data Engineer with strong Databricks expertise to design, develop, and support scalable cloud-based data ...

New

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

DOE : We are seeking a hands-on Data Engineer with strong experience in building scalable ... Experience with orchestration and workflow tools (e.g., Airflow, Databricks Workflows, Snowflake ...

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer Must Have Qualifications: * Strong hands-on experience in Data Engineering and ... Hands-on experience with Snowflake, Databricks, Azure, AWS, or GCP. * Strong understanding of data ...

Azure Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Title: Azure Data Engineer Location: Iselin NJ - (3 Days from Office) Experience: 12+ Years ... Design, develop, and deploy Spark program in databricks environment to process and analyze large ...

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term ... Design and develop data pipelines using Azure Data Services and Databricks . * Build and optimize ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Data Engineer

Short Hills, NJ · On-site

$124K - $149K/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 ...

next page

Showing results 1-20

Databricks Data Engineer information

See New Jersey salary details

$45.2K

$131.7K

$180.2K

How much do databricks data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for databricks data engineer in New Jersey is $131,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,600.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

What are the most commonly searched types of Databricks Data Engineer jobs in New Jersey?

The most popular types of Databricks Data Engineer jobs in New Jersey are:

What are popular job titles related to Databricks Data Engineer jobs in New Jersey?

For Databricks Data Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Databricks Data Engineer jobs in New Jersey look for?

The top searched job categories for Databricks Data Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Databricks Data Engineer jobs?

Cities in New Jersey with the most Databricks Data Engineer job openings:

Infographic showing various Databricks Data Engineer job openings in New Jersey as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $131,693 per year, or $63.3 per hour.

Data Engineer

LHi Group Ltd

Woodbridge, NJ • On-site

$88K - $105K/yr

Other

Posted 10 days ago


Job description

Data Engineer | Metropark, New Jersey
Hybrid | $88,000-$105,000 Base + Bonus
We are seeking an early-career Data Engineer to join a growing technology team focused on developing and supporting modern data pipelines and cloud-based data infrastructure.
This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks, Apache Spark, PySpark, and modern lakehouse architecture.
Key Responsibilities
  • Support the development and maintenance of data pipelines across Bronze, Silver, and Gold medallion architecture layers
  • Ingest and organize raw data within the Bronze layer
  • Support data cleansing, deduplication, validation, and schema enforcement within the Silver layer
  • Develop SQL and PySpark transformations based on defined business and technical requirements
  • Assist with data quality, testing, monitoring, and troubleshooting of pipeline jobs
  • Work with structured and semi-structured data within cloud-based data environments
  • Collaborate closely with senior data engineers to learn and apply modern data engineering practices
  • Contribute to scalable and reliable data solutions using version-controlled development practices

Required Qualifications
  • 0-2 years of experience in Data Engineering, Analytics, Computer Science, or a related field; internships and academic projects are considered
  • Foundational knowledge of SQL, including joins, filtering, aggregations, and querying relational data
  • Experience with Python and an understanding of basic object-oriented programming concepts
  • Understanding of core data concepts, including tables, schemas, relational databases, and data structures
  • Familiarity with Git or demonstrated ability to quickly learn version-control practices
  • Strong interest in developing expertise across Databricks, Spark, and cloud technologies
  • Strong analytical, problem-solving, and communication skills

Preferred Qualifications
  • Exposure to Databricks, Apache Spark, or PySpark
  • Understanding of Delta Lake or medallion architecture
  • Experience with Azure, AWS, or Google Cloud Platform
  • Databricks certification
  • Exposure to BI, reporting, or data visualization tools
  • Academic or project experience building data pipelines or working with data transformation workflows

Compensation & Work Arrangement
Salary: $88,000-$105,000 base salary + discretionary bonus
Work Arrangement: Hybrid
This is an excellent opportunity for an early-career professional looking to develop a strong foundation in data engineering, cloud data platforms, Databricks, Spark, and lakehouse architecture while working alongside experienced engineers.
Interested in learning more? Apply directly or reach out to for additional information.
Data Engineer | Hybrid | Metropark, New Jersey