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Entry Level Databricks Data Engineer Jobs in California

Gridware

Data Engineer

San Francisco, CA · On-site

$160K - $175K/yr

Developing and maintaining real-time and batch ingestion processes using Python, SQL, Databricks ... of experience as a Data Engineer (or Backend Engineer with heavy data exposure) * Strong ...

Gridware

Data Engineer

San Francisco, CA

$160K - $175K/yr

Developing and maintaining real-time and batch ingestion processes using Python, SQL, Databricks ... of experience as a Data Engineer (or Backend Engineer with heavy data exposure) * Strong ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service * Experience with ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service * Experience with ...

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 ...

ACCO Engineered Systems

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

The Data Engineer role will be responsible for implementing and managing the business's data ... Experience with Fabric and Databricks. * Knowledge of data modeling techniques and experience with ...

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 ...

Qualitest Group

Data Engineer

Santa Clara, CA · On-site

$110K - $120K/yr

We are looking for a Data Engineer to join our growing team in United States Location - US (remote ... Cloud Technologies - Knowledge or experience with cloud/data platforms such as Databricks or AIDP ...

Databricks

Solutions Architect

San Francisco, CA · On-site

$180K - $247K/yr

An ability in data-driven business transformation, and driving change with data. * Production programming experience in Python, R, Scala or Java * Nice to have: Databricks Certification Pay Range ...

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Entry Level Databricks Data Engineer information

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 California?

The most popular types of Databricks Data Engineer jobs in California are:

What are popular job titles related to Entry Level Databricks Data Engineer jobs in California?

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

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

The top searched job categories for Entry Level Databricks Data Engineer jobs in California are:

What cities in California are hiring for Entry Level Databricks Data Engineer jobs?

Cities in California 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 California as of August 2026, with employment types broken down into 56% Full Time, 24% Part Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Data Engineer

Gridware

San Francisco, CA • On-site

$160K - $175K/yr

Full-time

Medical, Dental, Vision

Re-posted 5 days ago

Job description

About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.
Role Overview
As a Data Engineer at Gridware, you'll help build and maintain the pipelines and data systems powering our Active Grid Response platform. You'll work closely with cross-functional engineers to ensure telemetry, sensor data, and operational information flows reliably through our Lakehouse and into analytics and monitoring tools. This is a hands-on, high-growth role ideal for engineers ready to deepen their expertise in distributed data systems.
Responsibilities
  • Building ETL/ELT pipelines that ingest transformer, pole, and sensor telemetry into Gridware's Data Lake and Lakehouse
  • Developing and maintaining real-time and batch ingestion processes using Python, SQL, Databricks, and Spark
  • Implementing data quality checks, validation rules, and automated testing for stable operations
  • Collaborating with Software, Firmware, and Data Science teams to define ingestion schemas and transformations
  • Working with cloud-native tools to optimize pipeline throughput and cost efficiency
  • Monitoring pipelines for reliability, troubleshooting issues, and contributing to on-call rotations
  • Writing documentation for data processes, models, and metadata

Required Skills
  • 2-4 years of experience as a Data Engineer (or Backend Engineer with heavy data exposure)
  • Strong proficiency in Python and SQL
  • Familiarity with data warehouses, Lakehouse platforms, or big data tools (Databricks, Spark, or equivalent)
  • Experience with pipeline orchestration tools (Airflow, Dagster, Prefect, etc.)
  • Understanding of event-driven systems or streaming platforms (Kafka, Kinesis, Pub/Sub)
  • Solid foundation in data modeling, testing, and version control
  • Ability to work collaboratively in a high-autonomy, fast-paced environment

Bonus Skills
  • Experience with IoT, telemetry ingestion, or time-series data
  • Exposure to Unity Catalog, governance, or schema enforcement
  • Understanding of Protobuf, Avro, Parquet, or serialization formats
  • Hands-on experience with observability tools (Grafana, OpenTelemetry)

$160,000 - $175,000 a year
**At this time, Gridware is unable to provide visa sponsorship or immigration support for this role. We're only able to consider candidates who are currently authorized to work in the country of employment without visa sponsorship now or in the future.**
This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!
Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.
Benefits
Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)
Paid parental leave
Alternating day off (every other Monday)
"Off the Grid", a two week per year paid break for all employees.
Commuter allowance
Company-paid training

Apply