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Entry Level Databricks Data Engineer Jobs in Los Angeles, CA

Pwc

Data Engineer - Senior Associate

Irvine, CA

$77K - $202K/yr

... 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 ...

Pwc

Data Engineer - Senior Associate

Los Angeles, CA

$77K - $202K/yr

... 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 ...

Tata Consultancy Service Limited

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 ...

Staffingine LLC

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

... Databricks, Delta Lake, Kubernetes and AWS ● Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform ● Contribute to developing and ...

Dlapiper

Data Engineer

Los Angeles, CA

$123K - $148K/yr

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 ...

The Walt Disney Company

Data Engineer I

Santa Monica, CA · On-site

$128K - $154K/yr

Data Engineer I Req ID: 10147074 Technology is at the heart of Disney's past, present, and future ... You will work across AWS, Databricks, Unity Catalog, Snowflake, and Airflow to help build reliable ...

Mantek Solutions

Data Engineer

Pasadena, CA · On-site

$125K - $150K/yr

Data Engineer Direct Hire - Onsite Pasadena W2 Only (No Sponsorship/C2C) We are looking for a Data ... Experience with Apache Airflow, Fabric, or Databricks. * Knowledge of data modeling and BI tools ...

cosm

Associate Data Engineer

Los Angeles, CA · On-site

$75K - $90K/yr

The candidate will use our data platform, built on Databricks and AWS, to implement incremental ... We expect all our engineers and managers to be versatile, display leadership qualities, and be ...

cosm

Associate Data Engineer

Los Angeles, CA · On-site

$75K - $90K/yr

The candidate will use our data platform, built on Databricks and AWS, to implement incremental ... We expect all our engineers and managers to be versatile, display leadership qualities, and be ...

cosm

Associate Data Engineer

Los Angeles, CA · On-site

$75K - $90K/yr

The candidate will use our data platform, built on Databricks and AWS, to implement incremental ... We expect all our engineers and managers to be versatile, display leadership qualities, and be ...

Pwc

Data Engineer - Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

ACCO Engineered Systems

Data Engineer

Pasadena, CA

$124K - $150K/yr

Experience with Fabric and Databricks. * Knowledge of data modeling techniques and experience with ... ACCO Engineered Systems is one of the largest mechanical contractors in the country. Since 1934 ...

ACCO Engineered Systems

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

Experience with Fabric and Databricks. * Knowledge of data modeling techniques and experience with ... ACCO Engineered Systems is one of the largest mechanical contractors in the country. Since 1934 ...

Astrana Health

Data Engineer (Multiple Levels)

Alhambra, CA · On-site +1

$105K - $200K/yr

We are currently seeking highly motivated Data Engineers at various levels. This role will report ... Working experience with Databricks preferred * Familiarity with business intelligence exploratory ...

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Entry Level Databricks Data Engineer information

See Los Angeles, CA salary details

$32.3K

$74.7K

$127.1K

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

As of Aug 14, 2026, the average yearly pay for entry level databricks data engineer in Los Angeles, CA is $74,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $84,600.00 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 Los Angeles, CA?

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

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

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

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

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

Entry Level Databricks Data Engineer jobs near you

AWS Databricks Data Engineer

Tror AI for everyone

Los Angeles, CA • On-site

$123K - $148K/yr

Contractor

Re-posted 2 days ago

Job description

Job Title: AWS Databricks Data Engineer

Job Location: Los Angeles CA (Hybrid)

Hire type: FTE / CTH

Note: Only Locals to California

 

Job Description –

We are seeking a highly skilled AWS Data Engineer with strong expertise in SQL, Python, PySpark, Data Warehousing, and Cloud-based ETL to join our data engineering team. The ideal candidate will design, implement, and optimize large-scale data pipelines, ensuring scalability, reliability, and high performance. This role requires close collaboration with cross-functional teams and business stakeholders to deliver modern, efficient data solutions.

Key Responsibilities

1. Data Pipeline Development

  • Build and maintain scalable ETL/ELT pipelines using Databricks on AWS.
  • Leverage PySpark/Spark and SQL to transform and process large, complex datasets.
  • Integrate data from multiple sources including S3, relational/non-relational databases, and AWS-native services.

2. Collaboration & Analysis

  • Partner with downstream teams to prepare data for dashboards, analytics, and BI tools.
  • Work closely with business stakeholders to understand requirements and deliver tailored, high‑quality data solutions.

3. Performance & Optimization

  • Optimize Databricks workloads for cost, performance, and efficient compute utilization.
  • Monitor and troubleshoot pipelines to ensure reliability, accuracy, and SLA adherence.
  • Apply query optimization, Spark tuning, and shuffle minimization best practices when handling tens of millions of rows.

4. Governance & Security

  • Implement and manage data governance, access control, and security policies using Unity Catalog.
  • Ensure compliance with organizational and regulatory data‑handling standards.

5. Deployment & DevOps

  • Use Databricks Asset Bundles for deployment of jobs, notebooks, and configuration across environments.
  • Maintain effective version control of Databricks artifacts using GitLab or similar tools.
  • Use CI/CD pipelines to support automated deployments and environment setups.

Technical Skills (Required)

  • Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Workflows, Delta Live Pipelines, Databricks Runtime, etc.).
  • Proven ability to implement robust PySpark solutions.
  • Hands‑on experience with Databricks Workflows & orchestration.
  • Solid knowledge of Medallion Architecture (Bronze/Silver/Gold).
  • Significant experience designing or rebuilding batch‑heavy data pipelines.
  • Strong background in query optimization, performance tuning, and Spark shuffle optimization.
  • Ability to handle and process tens of millions of records efficiently.
  • Familiarity with Genie enablement concepts (understanding required; deep experience optional).
  • Experience with CI/CD, environment setup, and Git-based development workflows.
  • Solid understanding of AWS cloud, including:
  • IAM
  • Networking fundamentals
  • Storage integration (S3, Glue Catalog, etc.)

Preferred Experience

  • Experience with Databricks Runtime configurations and advanced features.
  • Knowledge of streaming frameworks such as Spark Structured Streaming.
  • Experience developing real-time or near real-time data solutions.
  • Exposure to GitLab pipelines or similar CI/CD systems.

Certifications (Optional)

  • Databricks Certified Data Engineer Associate / Professional
  • AWS Data Engineer or AWS Solutions Architect certification

Thanks & Regards

Akhil

akhil@tror.ai