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Intern Databricks Data Engineer Jobs in Santa Ana, CA

Sr. Data Engineer Specialist

Brea, CA · On-site

$118K - $141K/yr

The Data Engineer will build and maintain data pipelines and infrastructure to support the ... Databricks, etc.). • Exposure to real-time data processing or streaming systems. • Experience ...

Data Engineer

Los Angeles, CA · On-site

$150K - $230K/yr

Builds semantic layers with dbt, Snowflake, or Databricks. * Python for reusable pipeline and data ... Background in Operations Research, industrial engineering, or quantitative finance. Compensation ...

Data Engineer

Los Angeles, CA · On-site

$150K - $230K/yr

Builds semantic layers with dbt, Snowflake, or Databricks. * Python for reusable pipeline and data ... Background in Operations Research, industrial engineering, or quantitative finance. Compensation ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Overview The Data Engineer IV will design and lead the build-out of Planet DDS's next-generation ... Databricks, Snowflake, Redshift, BigQuery, or similar) and AI/ML platforms. * Strong understanding ...

Bachelor's or Master's degree in Computer Science, Engineering, or related field. * 10+ years in data engineering/architecture with substantial hands-on depth in Azure. * Expert in Azure Databricks ...

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 ...

Showing results 41-60

Intern Databricks Data Engineer information

See Santa Ana, CA salary details

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How much do intern databricks data engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for intern databricks data engineer in Santa Ana, CA is $26.45, according to ZipRecruiter salary data. Most workers in this role earn between $21.49 and $30.00 per hour, depending on experience, location, and employer.

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

What are the most commonly searched types of Databricks Data Engineer jobs in Santa Ana, CA?

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

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For Intern Databricks Data Engineer jobs in Santa Ana, CA, the most frequently searched job titles are:

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The top searched job categories for Intern Databricks Data Engineer jobs in Santa Ana, CA are:

What cities near Santa Ana, CA are hiring for Intern Databricks Data Engineer jobs?

Cities near Santa Ana, CA with the most Intern Databricks Data Engineer job openings:

Lead Data Engineer - Los Angeles, CA - Onsite

Lorven Technologies

Los Angeles, CA • On-site

$123K - $148K/yr

Full-time

Re-posted 9 days ago


Job description

Role: Lead Data Engineer
Location: Los Angeles, CA - Onsite
Experience: 9 to 12 years max
Fulltime Role
Job description:
  1. Collaborate with client stakeholders to gather requirements, structure solutions, and ensure high quality, timely delivery.
  2. Experience working in the Databricks tech stack with strong proficiency in SQL, Python, and PySpark
  3. Design and optimize data models, data marts, and Lakehouse/warehouse layers with strong focus on medallion architecture, query optimization, and performance engineering.
  4. Build, orchestrate, and monitor scalable data pipelines on Databricks, ensuring reliable ingestion, transformation, CDC handling, and incremental load strategies.
  5. Manage end to end pipeline operations including performance tuning, data quality monitoring, alerting, and issue resolution across production workloads.
  6. Lead a project team of data engineers supporting multiple workstreams and provide technical leadership through code reviews, best practice guidance, reusable pattern creation, and mentorship to engineering team members.
  7. Prepare and maintain project documentation to support project execution and delivery.

Expected work split
  1. 50% Technical - Data modeling, hands-on coding, orchestration, and pipeline monitoring.
  2. 50% Management- Client Collaboration, requirements gathering, designing technical solutions, presentations, global team management and mentoring.

Qualifications (Required):
  1. 8-12 years' experience in data engineering and analytics roles
  2. Bachelor's or Master's degree in analytics, computer science/engineering, economics, mathematics, or related areas.
  3. Experience building and maintaining ETL/ELT pipelines
  4. Solid understanding of data warehousing concepts and dimensional data modeling
  5. Familiarity with workflow orchestration tools such as Airflow or similar
  6. Experience working with cloud data platforms or modern data infrastructure
  7. Entrepreneurial hands-on approach to work. Demonstrated leadership ability and willingness to take initiative
  8. Superior analytical and problem solving skills
  9. Outstanding written and verbal communication skills
  10. Effective time management and attention to detail
  11. Hands on experience in using SQL, Python and Workflow Schedulers (Apache Airflow, Cron)
  12. Experience in leading team and coordinating with internal / external stakeholders

Qualifications (Preferred):
  1. Experience in using Cloud Platforms (AWS / GCP / Azure)
  2. Experience in using Visualization tools (Tableau / Power BI)
  3. Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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