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Senior Databricks Data Engineer Jobs in Camden, NJ

Compunnel

Senior AWS Data Engineer

Malvern, PA · On-site

$104K - $141K/yr

Job Summary The Senior AWS Data Engineer will support process automation initiatives with a strong focus on Databricks and AWS serverless data services. The role will design, develop, test, and ...

Campbell Soup Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments. * Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake)

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments. * Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake)

MHK TECH INC

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

MHK TECH INC is seeking a Data Engineer to design and maintain robust data pipelines and manage ... Databricks. • Develop ETL/ELT processes to ingest, transform, and store structured and ...

Campbell Soup Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments. * Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake)

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments. * Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake)

Campbell Soup Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments. * Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake)

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments. * Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake)

Aramark

Junior Data Engineer

Philadelphia, PA · On-site

Develop scalable, well-modeled data transformation pipelines (dbt) under the guidance of senior ... Exposure to data warehousing platforms such as Snowflake, Databricks, or equivalent * Some ...

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Senior Databricks Data Engineer information

See Camden, NJ salary details

$60K

$127.7K

$185.1K

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

As of Sep 7, 2026, the average yearly pay for senior databricks data engineer in Camden, NJ is $127,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $144,800.00 per year, depending on experience, location, and employer.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

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

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

What are popular job titles related to Senior Databricks Data Engineer jobs in Camden, NJ?

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

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

The top searched job categories for Senior Databricks Data Engineer jobs in Camden, NJ are:

What cities near Camden, NJ are hiring for Senior Databricks Data Engineer jobs?

Cities near Camden, NJ with the most Senior Databricks Data Engineer job openings:

Senior Databricks Data Engineer jobs near you
Infographic showing various Senior Databricks Data Engineer job openings in Camden, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,682 per year, or $61.4 per hour.

Senior AWS Data Engineer

Compunnel

Malvern, PA • On-site

$104K - $141K/yr

Contractor

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

Job description

Job Summary
The Senior AWS Data Engineer will support process automation initiatives with a strong focus on Databricks and AWS serverless data services. The role will design, develop, test, and implement applications and databases, with primary emphasis on AWS Lambda, Glue, Step Functions, S3, IAM, CloudFormation, and serverless architectures. The engineer will also lead backend optimization, data and API integrations, production support, security and resilience initiatives, and technical mentoring while collaborating with cross-functional teams in an Agile environment.
Key Responsibilities
• Design, develop, test, and implement applications and databases supporting process automation initiatives.
• Develop and maintain AWS Step Functions and Glue jobs, with a primary focus on AWS serverless functionality.
• Translate technical specifications into code for complex new development and enhancement projects.
• Write programs, develop code, test artifacts, and produce technical reports.
• Implement automated testing practices that support software development and delivery.
• Lead backend system optimization efforts to improve performance, scalability, and responsiveness.
• Integrate multiple data sources, APIs, and services to streamline data flows and improve system efficiency.
• Develop and support backend interfaces and integrations that enable seamless user experiences.
• Maintain detailed backend documentation covering architecture, logic, and technical processes.
• Implement best practices for security, data protection, and backend resilience.
• Promote enterprise-grade development and architecture standards.
• Elevate code through development, test, and production environments according to established schedules.
• Provide production support and resolve elevated technical issues.
• Submit change control requests and maintain required technical documentation.
• Participate in design, code, and test inspections throughout the software development lifecycle.
• Perform systems analysis and communicate technical considerations to internal clients and technical teams.
• Collaborate with cross-functional teams and communicate system issues at the appropriate technical level for each audience.
• Ensure deliverables comply with Information Technology and Information Security policies and procedures.
• Train and mentor less-experienced staff.
• Participate in special projects and perform other duties as assigned.
Required Qualifications
• Strong hands-on experience with Databricks and AWS cloud services.
• Experience with AWS Lambda, Step Functions, Glue, S3, IAM, CloudFormation, and serverless architectures.
• Strong TypeScript and Python development experience.
• Experience with SQL development and database design.
• Experience developing APIs, system integrations, and backend architectures.
• Basic Angular and frontend development experience.
• Experience with ETL, data pipelines, and cloud-native data processing solutions.
• Experience with source control and CI/CD practices using GitHub.
• Strong troubleshooting, debugging, and production support skills.
• Experience working in Agile environments using Jira and Confluence.
• Strong understanding of software development methodologies and development architecture standards.
• Ability to collaborate effectively with cross-functional teams and internal clients.
Preferred Qualifications
• Oracle FCCS experience.
• Experience with workflow automation and process improvement methodologies.
• Experience with enterprise-scale backend optimization and data integration.
Certifications
• AWS Cloud Practitioner Certification or higher.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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