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Manager Databricks Data Engineer Jobs in California

Apex Systems

Data Engineer

Pleasanton, CA · On-site

$127K - $152K/yr

Job#: 3044330 Apex Systems is hiring a Data Engineer with Databricks experience for a large Health ... Take ownership of assigned projects, manage priorities, and deliver high-quality solutions on ...

GEI Consultants

Data Engineer

Rancho Cordova, CA · On-site

$122K - $146K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ...

GEI Consultants

Data Engineer

Rancho Cordova, CA

$90K - $150K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ...

GEI Consultants, Inc.

Data Engineer

Rancho Cordova, CA · On-site

$124K - $148K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ...

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ...

GEI Consultants, Inc.

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ...

GEI Consultants

Data Engineer

Pasadena, CA

$90K - $150K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ...

Adastra Corporation

Sr Data Engineer - Databricks

Irvine, CA · Hybrid

$123K - $147K/yr

Orchestrate jobs using Databricks Workflows, managing dependencies, retries, alerting, and SLAs * Apply Unity Catalog for data governance, lineage, and access control * Work to a high engineering ...

iLink Digital

Databricks Engineer

Milpitas, CA · On-site

Integrate data from various sources including relational databases, APIs, cloud storage, and ... Excellent communication and stakeholder management abilities. Mandatory Skills * Databricks

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Manager Databricks Data Engineer information

What is the difference between Manager Databricks Data Engineer vs Data Engineer?

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

How much does a Manager Databricks Data Engineer make?

A Manager Databricks Data Engineer typically earns between $120,000 and $160,000 annually, depending on experience, location, and company size. They often require strong skills in Spark, SQL, and cloud platforms like Azure or AWS, along with leadership responsibilities. Compensation may also include bonuses and stock options.

Is a Manager Databricks Data Engineer in demand?

Manager Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. They typically require expertise in Spark, SQL, and cloud environments, making their roles critical in data-driven organizations seeking scalable analytics solutions.

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:

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Cities in California with the most Manager Databricks Data Engineer job openings:

Manager Databricks Data Engineer jobs near you

Sr. Product Manager, Databricks Free Edition

Databricks

San Francisco, CA • On-site

$149K - $196K/yr

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Databricks is a data and AI company on a mission to help data teams solve tough problems. They are seeking a Senior Product Manager to drive the Databricks Free Edition, collaborating with a cross-functional team to create engaging and impactful learning experiences in data and AI.
Responsibilities:
• Help shape and advance the vision, strategy, and roadmap for Databricks Free Edition, contributing to experiences that make learning data and AI engaging and accessible.
• Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks.
• Work with academic and learning program partners to support data and AI education through Databricks.
• Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails.
• Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements.
• Define and track success metrics that measure learning engagement and user outcomes.
Qualifications:
Required:
• 5+ years of product management experience, preferably in data, AI, or developer-focused platforms.
• Strong customer empathy and passion for creating learning and onboarding experiences that empower users.
• Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams.
• Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts.
• Technical proficiency to collaborate effectively with engineering on data and platform capabilities.
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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