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Entry Level Databricks Data Engineer Jobs in Philadelphia, PA

Data Engineer - Senior Associate

Philadelphia, PA

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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 ...

Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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

Philadelphia, PA

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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

Wilmington, DE · On-site

$80 - $85/hr

Role: Senior Data Engineer Duration: 6-12+ months RTH Location: Wilmington, Delaware Interview ... Databricks), Airflow, Relational Databases Nice to Haves: Snowflake, NoSql Databases TDD, CI/CD ...

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Databricks Nice to have: Informatica/ETL. Responsibilities * Design and develop ETL processes based ... Proven working experience as a data engineer * Bachelor degree or equivalent in Computer Science

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Databricks Nice to have: Informatica/ETL. Responsibilities * Design and develop ETL processes based ... Proven working experience as a data engineer * Bachelor degree or equivalent in Computer Science

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 ...

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 ...

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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:

What are popular job titles related to Entry Level Databricks Data Engineer jobs in Philadelphia, PA?

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

What job categories do people searching Entry Level Databricks Data Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Entry Level Databricks Data Engineer jobs in Philadelphia, PA are:

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:

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.

$112K - $134K/yr

Full-time

Posted 15 hours ago

Posted today


Job description

Senior Databricks Data Engineer
Location: Chicago-IL - Hybrid 3 days at On-site
Duration: 6 months

Role Descriptions:
Key Responsibilities
• Pipeline Development - Design, implement, and optimize scalable ETL/ELT pipelines using Databricks (PySpark, SQL, Delta Lake) to ingest structured and semi structured data from multiple sources (APIs, databases, streaming).
• Data Warehousing - Build and maintain cloud data warehouse solutions (Snowflake / Azure Synapse) - design star schemas, fact/dimension tables, and aggregate tables for high performance reporting.
• Data Modeling - Create logical and physical data models for operational and analytical use cases; implement SCD Type 2, slowly changing dimensions, and data vault methodologies where appropriate.
• Performance Tuning - Optimize Spark jobs, SQL queries, and data partitioning strategies to handle petabyte scale data with low latency.
• Governance & Quality - Implement data quality checks, monitoring, and lineage using tools like Great Expectations or custom frameworks; enforce data governance policies (GDPR/CCPA).
• Collaboration - Partner with data analysts, product managers, and engineers to translate business requirements into technical data solutions.
• CI/CD & Automation - Automate deployment of data pipelines using Azure DevOps or GitHub Actions; maintain infrastructure as code (Terraform) for data resources.
Required Skills & Experience
• Total Experience: 10+ years in data engineering or related roles.
• Cloud Data Platforms: Deep hands on experience with Databricks (notebooks, jobs, clusters, Delta Lake, Unity Catalog) - must have production level work.
• Data Warehousing: Proven experience with cloud data warehouses (Snowflake, Azure Synapse, or Redshift) - design, optimisation, and administration.
• Data Modeling: Strong knowledge of dimensional modeling (Kimball/Inmon), relational database design, and experience with tools like ER/Studio or dbt.
• Programming: Expert in Python and SQL - ability to write maintainable, production grade code.
• Big Data: Hands on with Apache Spark (PySpark), distributed computing, and performance tuning.
• Orchestration: Experience with workflow tools (Airflow, Azure Data Factory, or Prefect) for scheduling and monitoring pipelines.
• Version Control: Proficient with Git and collaborative development workflows.
Preferred Qualifications
• Experience with streaming technologies (Kafka, Event Hubs, or Kinesis).
• Knowledge of data mesh or data fabric architectures.
• Familiarity with BI tools (Power BI, Tableau, Looker).
• Databricks certification (e.g., Associate or Professional Data Engineer).
• Experience with dbt (data build tool) and transformation testing.
• Exposure to MLflow or MLOps practices.
Education & Soft Skills
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field (or equivalent practical experience).
• Strong communication skills
• Self starter with a problem solving mindset and ability to work independently in a hybrid environment.
Keyword:
Skills: Digital : Snowflake~Digital : Databricks
Experience Required: 10 & Above