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Entry Level Databricks Data Engineer Jobs in Irvine, CA

Data Engineer

Irvine, CA · On-site

$120K - $150K/yr

Data Engineer We are seeking project based Platform Engineering delivery support with strong, hands on technical depth in the following areas: • Databricks advanced Spark, performance tuning ...

Data & AI Platform Engineer

Irvine, CA · On-site

$122K - $147K/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 ...

Hands-on experience with Azure Databricks and Databricks SQL. * Experience in Java-based streaming ... Understanding cloud-based data engineering and distributed processing concepts. * Experience in ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... DevOps/GitHub). * Solid grasp of GDPR/CCPA/HIPAA, data masking/tokenization, and audit controls. * Bonus: Insurance/Financial domain; mainframe (VSAM/DB2), Kafka/MuleSoft, Databricks, Control-M, AWS ...

Data/Cloud Architect (AWS)

Irvine, CA · On-site

$69.75 - $88.75/hr

... Engineering|Databricks Technical Skills 3 Technology|Generative AI|Generative AI for Data Analytics Salary min 81102 Salary max 109353 Overview The Infosys Data and Analytics (DNA) unit is at the ...

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Entry Level Databricks Data Engineer information

See Irvine, CA salary details

$32.2K

$74.5K

$126.7K

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

As of Aug 29, 2026, the average yearly pay for entry level databricks data engineer in Irvine, CA is $74,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $84,300.00 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 Irvine, CA?

The most popular types of Databricks Data Engineer jobs in Irvine, CA are:

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

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

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

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

What cities near Irvine, CA are hiring for Entry Level Databricks Data Engineer jobs?

Cities near Irvine, CA with the most Entry Level Databricks Data Engineer job openings:

Infographic showing various Entry Level Databricks Data Engineer job openings in Irvine, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $74,453 per year, or $35.8 per hour.

$120K - $150K/yr

Full-time

Re-posted 18 days ago


Job description

Data Engineer
We are seeking project based Platform Engineering delivery support with strong, hands on technical depth in the following areas:
• Databricks advanced Spark, performance tuning, platform administration
• Airflow / Astronomer DAG design, enterprise orchestration, reliability
• Data Engineering pipeline design, data quality, scalability
• DevOps CI/CD, infrastructure as code, automation
• Platform Management stability, monitoring, and operational readiness
We expect contributors who can own technical delivery for defined scope and outcomes. Profiles may be onshore, nearshore, or offshore, but must be senior, deeply technical engineers capable of engaging with a highly technical engineering team.
Salary Range- $120,000-$150,000 a year