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Entry Level Databricks Data Engineer Jobs (NOW HIRING)

PB consulting

Databricks Data Engineer

$117K - $140K/yr

We are seeking a Senior Databricks Data Engineer with strong experience designing, developing, and optimizing data engineering solutions using Databricks, PySpark, Delta Lake, and modern data ...

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision ...

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision ...

Berkley

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision ...

PTR Global

Databricks Data Engineer

Manhattan, NY · On-site

$60 - $75/hr

Databricks Data Engineer Location: New York, New York Duration: Contract Job ID: 178866 Job Overview: We are seeking a skilled and experienced Applications Developer to join our team in New York, New ...

New

Resultant

Data Engineer - Databricks

Chicago, IL · On-site +1

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries - from public sector agencies to ...

Resultant

Data Engineer - Databricks

Chicago, IL

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries - from public sector agencies to ...

Damco Solutions

Databricks Data Specialist

Raleigh, NC · On-site

... engineers. Responsibilities : • Conduct comprehensive data analysis, create data mappings ... Databricks to query and analyze large datasets, writing efficient and complex SQL queries • ...

Deloitte

Databricks Engineering Consultant

Rosslyn, VA · On-site

Work you'll do As a Data Engineer II on the AI & Data team, you will be responsible for: * Designing, developing, testing, and maintaining scalable data pipelines and data products on the Databricks ...

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Entry Level Databricks Data Engineer information

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$30K

$69.4K

$118K

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

As of Aug 15, 2026, the average yearly pay for entry level databricks data engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 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.
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Entry Level Databricks Data Engineer jobs near you
Infographic showing various Entry Level Databricks Data Engineer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

Databricks Data Engineer

PB consulting

Remote

$117K - $140K/yr

Full-time

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

Job description

We are seeking a Senior Databricks Data Engineer with strong experience designing, developing, and optimizing data engineering solutions using Databricks, PySpark, Delta Lake, and modern data engineering practices. The ideal candidate will have expertise in data pipelines, cloud data platforms, governance, automation, and CI/CD processes.

Roles & Responsibilities
  • Design, develop, and maintain scalable data pipelines using Databricks and PySpark.
  • Build and optimize Delta Lake solutions using Delta Tables and Declarative Pipelines.
  • Implement Databricks Asset Bundles for deployment and lifecycle management.
  • Manage data governance, security, and permissions using Unity Catalog.
  • Configure and enforce cluster policies and platform governance standards.
  • Develop clean, maintainable, and reusable Python code.
  • Implement CI/CD workflows using Git/GitHub best practices.
  • Collaborate with cross-functional teams in an Agile environment.
  • Optimize data processing performance and troubleshoot data engineering issues.
  • Support automation initiatives using tools such as Terraform and Bash scripting.
Required Technical Skills
  • Strong hands-on experience with Databricks Data Engineering.
  • Expertise in PySpark, Delta Tables, and Declarative Pipelines.
  • Experience with Databricks Asset Bundles (DAB).
  • Strong knowledge of Unity Catalog, access controls, and permission management.
  • Experience with cluster policies, governance, and Databricks administration best practices.
  • Strong Python development skills with understanding of Object-Oriented Programming (OOP).
  • Knowledge of clean code principles and software development best practices.
  • Experience with CI/CD processes and automation.
  • Strong understanding of Git/GitHub, including pull requests and branching strategies.
  • Experience working in Agile development environments.
Preferred Skills
  • Strong SQL skills.
  • Experience with Terraform for infrastructure automation.
  • Familiarity with Bash scripting and command-line tools.

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