Top 9 Deep learning engineer Jobs in Marina, Ca

Data Platform Engineer
QuickLaunch Analytics —Santa Cruz, CA
- $125,000 - $155,000 a year
- Full-time
- Remote
- SQL
- Linux
- Senior level
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Staff Flight Research Machine Learning Engineer
Joby Aviation —Santa Cruz, CA
- $224,000 - $245,000 a year
- Full-time
- 8 years
- C++
- Mentoring
- Employee stock purchase plan
- Disability insurance
Senior Software Engineer, Windows/Desktop Applications - Santa Cruz, CA, USA
Speechify —Santa Cruz, CA
- $140,000 - $200,000 a year
- Remote
- Windows
- Mentoring
- APIs
14d
Data Visualization Engineer
Booz Allen Hamilton —Monterey, CA
- $99,000 - $225,000 a year
- Full-time
- Computer Science
- Office
- Master's degree
- Disability insurance
- Health insurance
Sr Risk Systems Developer
Community Choice Financial Family of Brands —United States
- Full-time
- Computer science
- Azure
- Computer Science
- Paid training
- Health savings account

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deep learning engineer jobs near marina, ca

Data Platform Engineer

QuickLaunch Analytics
Santa Cruz, CA

Quick Apply

Job Details

Full-time
$125,000 - $155,000 a year

Qualifications

Customer communication
Databricks

Full Job Description

Applicants without hands-on Databricks or Microsoft Fabric pipeline experience will not be considered.

At QuickLaunch Analytics, we help organizations simplify the complex world of data. As a Data Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful deployment and adoption.

This is a highly impactful, hybrid role that blends hands-on engineering with customer-facing consulting. You’ll work across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready data solutions that power enterprise analytics.

What You’ll Do

Design and deploy modern data platforms in Azure Databricks, including full environment setup (storage, compute, catalogs, security) and infrastructure optimization

Build scalable data pipelines and Lakehouse solutions using Python, SQL, and orchestration across Databricks and Microsoft Fabric

Lead customer implementations and technical delivery, supporting new deployments, upgrades, and escalation troubleshooting in Azure environments

Develop and manage ETL/ELT integrations across third-party tools and custom APIs, ensuring reliable, production-grade data workflows

Implement secure, high-performance data architectures, including Unity Catalog, OneLake security, networking (VPNs, private endpoints), and cost optimization

Partner directly with customers as a technical advisor, translating business needs into data platform solutions and driving best practices across Databricks and Fabric

Who You Are

Strong hands-on experience with Databricks and/or Fabric, Spark, Python, and SQL, with the ability to build and troubleshoot production-grade data pipelines

Solid foundation in database concepts and data modeling, with experience working across structured and semi-structured datasets

Experience with ETL/ELT tools and data integration, including tools like Fivetran and building/customizing API-based data pipelines

Comfortable working in customer-facing or consulting environments, supporting new implementations in Azure Databricks or Microsoft Fabric

Working knowledge of identity and access management concepts (e.g., Entra ID users, groups, and permissions)

Strong aptitude for diagnosing, isolating, and resolving complex technical issues efficiently

Ability to communicate effectively with both technical and non-technical customers and team members

Nice to Have

Experience using AI and automation tools to streamline workflows, including exposure to AI agents or intelligent automation frameworks

Experience configuring private endpoints in Azure, including networking setup and DNS configuration

Understanding of Power BI and Fabric licensing and how licensing might impact deployment approach

Familiarity with Linux environments and cloud-based data ecosystems

Working Location: Remote (USA) or hybrid (Santa Cruz County, CA)

Compensation: The estimated base salary range for this role is $125,000-155,000. There is also an opportunity for a discretionary bonus.

About Us:

At QuickLaunch Analytics, our purpose is to simplify the often-complex world of data analytics. For over 20 years, we’ve helped 250+ companies make better decisions by delivering a unified platform for trusted, enterprise-wide data.

We’re a team of 35+ professionals with deep expertise in Power BI, Databricks, and Azure Cloud. Our culture is built on ownership, collaboration, and continuous learning, reflected in strong outcomes for both our customers and our team.

If you enjoy solving complex data challenges and want to work closely with customers to deliver real-world impact, we’d love to hear from you.

Quick Apply

Refine Your Search

deep learning engineer jobs in marina, ca

Data Platform Engineer

Staff Flight Research Machine Learning Engineer

Senior Software Engineer, Windows/Desktop Applications - Santa Cruz, CA, USA

Data Visualization Engineer

Sr Risk Systems Developer

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