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Entry Level Databricks Data Engineer Jobs in Philadelphia, PA

Campbell Soup Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... Databricks environment. If you are passionate about the future of AI and eager to build ...

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... Databricks environment. If you are passionate about the future of AI and eager to build ...

Campbell Soup Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... Databricks environment. If you are passionate about the future of AI and eager to build ...

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$115K - $138K/yr

Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI ... Databricks environment. If you are passionate about the future of AI and eager to build ...

Judge Group, Inc.

Sr. Data Engineer

Wilmington, DE · On-site

$102K - $139K/yr

Our client is seeking an experienced Senior Data Engineer to join their growing data team. This is ... Experience working with Apache Spark and Databricks * Proficiency in workflow orchestration tools ...

Armaninollp

Data & AI Platform Engineer

Philadelphia, PA

$115K - $138K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

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All JobsDatabricks Data Engineer JobsEntry Level Databricks Data Engineer JobsEntry Level Databricks Data Engineer Jobs in Philadelphia, PA

Entry Level Databricks Data Engineer information

See Philadelphia, PA salary details

$30.3K

$70K

$119.1K

How much do entry level databricks data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for entry level databricks data engineer in Philadelphia, PA is $69,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $79,200.00 per year, depending on experience, location, and employer.

What is an entry level Databricks data engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.

What are the key skills and qualifications needed to thrive as an entry level Databricks data engineer?

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry level Databricks data engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.

What are the most commonly searched types of Databricks Data Engineer jobs in Philadelphia, PA?

The most popular types of Databricks Data Engineer jobs in Philadelphia, PA are:

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For Entry Level Databricks Data Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

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What cities near Philadelphia, PA are hiring for Entry Level Databricks Data Engineer jobs?

Cities near Philadelphia, PA with the most Entry Level Databricks Data Engineer job openings:

Entry Level Databricks Data Engineer jobs near you
Infographic showing various Entry Level Databricks Data Engineer job openings in Philadelphia, PA as of July 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $69,992 per year, or $33.6 per hour.

Data Engineer, DA&AI Co-Op

Campbell Soup Company

Camden, NJ • On-site

$115K - $138K/yr

Full-time

Re-posted 5 days ago

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover. Swanson, and V8.
Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
Data Engineer / AI Engineer (Co-op)
We are seeking a motivated and curious Data Engineer / AI Engineer to join our team. This co-op / internship offers hands-on experience at the forefront of Generative AI and automation. You will have the opportunity to learn and work with cutting-edge technologies within our Agentic Frameworks to refine their usage in a modern Databricks environment. If you are passionate about the future of AI and eager to build "intelligent" systems, we want to hear from you!
Key Responsibilities
  • Prototype AI Agents: Assist in building and testing AI agents designed to automate internal workflows or enhance data retrieval processes.
  • AI Training: Provide feedback to enhance and optimize the output of agents.
  • Prompt Engineering & Tuning: Experiment with and refine system prompts to improve the accuracy and reliability of outputs.
  • Monitor Model Performance: Identify "hallucinations" or inconsistencies in AI responses and suggest improvements for model grounding.
  • Collaborate with Agile Teams: Work with cross-functional teams to integrate AI capabilities into existing enterprise applications and participate in Agile ceremonies.
  • Explore Emerging AI Tools: Research and test new frameworks in the Agentic AI space under the guidance of senior AI and Data Engineers.
  • Document AI Architectures: Help document model schemas, API integrations, and AI governance standards.

Learning & Development Opportunities
  • Hands-on training in Generative AI and Agentictechnologies.
  • 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).

Qualifications
  • Current graduate student in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field
  • Foundational programming skills in Python and an understanding of SQL.
  • Familiarity with AI concepts through coursework or personal projects.
  • Excellent problem-solving skills and a high degree of technical curiosity.
  • Eager to learn in a rapidly evolving field and able to adapt to new tools quickly.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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