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Entry Level Databricks Developer Jobs in California

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 ...

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 ...

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 ...

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 ...

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Entry Level Databricks Developer information

What are the key skills and qualifications needed to thrive as an Entry Level Databricks Developer, and why are they important?

To thrive as an Entry Level Databricks Developer, you need a solid understanding of Python or Scala, basic data engineering concepts, and a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms like Azure or AWS, and data visualization tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and adapt to evolving project needs. These skills and qualifications are crucial for efficiently developing, managing, and optimizing big data solutions in enterprise environments.

What does an Entry Level Databricks Developer do?

An Entry Level Databricks Developer works with the Databricks platform to help organizations process and analyze large datasets. Their responsibilities typically include developing data pipelines, writing and optimizing Spark jobs, and collaborating with data engineers and analysts to transform raw data into useful insights. They use programming languages like Python, SQL, or Scala within the Databricks environment and often support data integration and automation efforts. Entry-level developers focus on learning best practices and gaining experience with big data tools and cloud platforms.

What is the difference between Entry Level Databricks Developer vs Data Engineer?

AspectEntry Level Databricks DeveloperData Engineer
Required CredentialsBasic knowledge of Spark, SQL, and cloud platforms; often a degree in CS or related fieldSimilar credentials; often includes certifications in cloud platforms and data tools
Work EnvironmentFocus on developing and optimizing Spark/Databricks notebooks, collaborating with data teamsDesigning, building, and maintaining data pipelines and infrastructure
Industry UsageUsed in companies leveraging Databricks for data analyticsUsed across industries for large-scale data processing and storage

While both roles require knowledge of Spark and cloud platforms, an Entry Level Databricks Developer primarily focuses on developing data solutions within Databricks, whereas a Data Engineer handles broader data pipeline architecture and infrastructure. The roles often overlap but differ in scope and responsibilities.

What are the typical projects and team dynamics experienced by an Entry Level Databricks Developer?

As an Entry Level Databricks Developer, you will typically work on projects involving data pipeline development, ETL processes, and collaborative data analysis using Databricks and Apache Spark. You’ll often be part of a cross-functional team that includes data engineers, data scientists, and business analysts, collaborating to solve data-driven business challenges. The work environment is usually fast-paced, with frequent code reviews, agile sprints, and mentorship from senior developers. This structure helps you quickly build technical expertise while gaining exposure to best practices in big data and cloud-based analytics.
What are the most commonly searched types of Databricks Developer jobs in California? The most popular types of Databricks Developer jobs in California are:
What are popular job titles related to Entry Level Databricks Developer jobs in California? For Entry Level Databricks Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Databricks Developer jobs in California look for? The top searched job categories for Entry Level Databricks Developer jobs in California are:
What cities in California are hiring for Entry Level Databricks Developer jobs? Cities in California with the most Entry Level Databricks Developer job openings:
Infographic showing various Entry Level Databricks Developer job openings in California as of June 2026, with employment types broken down into 2% Locum Tenens, 88% Full Time, and 10% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Cloud Tech Project Manager

MegazoneCloud US

Irvine, CA • On-site

Full-time

Posted 4 days ago


Job description

Job Summary:
MegazoneCloud is seeking a Cloud Tech Project Manager – Associate to support and coordinate cloud migration, modernization, and transformation initiatives across North America. This role provides an opportunity to grow into a fully independent project manager while contributing to project planning, execution, and delivery in partnership with clients and internal technical teams.
Responsibilities:
• Support planning and execution of cloud projects or defined workstreams within larger programs.
• Assist with developing and maintaining schedules, milestones, deliverables, and dependencies using tools such as JIRA, Confluence, Asana, MS Project, or Smartsheet.
• Coordinate meetings, document decisions, track action items, and facilitate clear communication across onshore/offshore teams.
• Prepare project updates, track risks and issues, and assist in producing management-level reports and presentations.
• Translate business and technical requirements into structured tasks for delivery teams.
• Monitor progress, identify blockers, and escalate concerns as needed to senior project managers or technical leads.
• Apply basic cloud delivery concepts (Lift & Shift, Re-platforming, Refactoring) under guidance.
Qualifications:
Required:
• 1–3 years of relevant experience in IT project coordination, cloud project delivery, or technical program support.
• Demonstrated ability to manage timelines, deliverables, and cross-team communication.
• Experience working with project management frameworks and supporting medium-scale initiatives.
• Foundational understanding of cloud platforms (AWS, Azure, or GCP) and cloud delivery methodologies.
• At least one entry-level cloud certification (e.g., AWS Solutions Architect – Associate, Azure Administrator – Associate, or GCP Associate Cloud Engineer) or willingness to obtain within 3–6 months.
• Familiarity with Agile/Scrum, Kanban, and Hybrid/Waterfall methodologies.
• Strong organizational, documentation, and problem-solving skills.
• Proficiency with collaboration tools such as MS Office/Google Workspace, JIRA, Confluence, Asana/Trello, Smartsheet, Miro/Figma, Slack/Teams.
• Strong interpersonal and communication skills with the ability to engage confidently with internal teams and customers.
• General awareness of IT/cloud compliance and security standards (SOC 2, ISO 27001, HIPAA, PCI-DSS).
Preferred:
• Practical exposure to cloud environments or cloud-related projects.
• Project management certifications (CAPM, PMP, Agile, or equivalent).
• Scrum/Agile certifications (CSM/PSM, CSPO/PSPO) or experience in scaled Agile environments (SAFe).
• Associate or Professional-level cloud certifications (AWS, Azure, or GCP).
• Familiarity with DevOps and CI/CD tools such as GitHub, GitLab, or Azure DevOps.
• Understanding of networking, security fundamentals, and system administration (Windows/Linux).
• Experience working in multi-regional, cross-cultural teams.
Company:
AWS, DataBricks, Snowflake and GCP Partner of the Year! AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data Analytics and Insights. Founded in , the company is headquartered in Fairport, New York, US, , with a team of 1001-5000 employees. The company is currently Late Stage.