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Remote Databricks Developer Jobs in Carson, CA (NOW HIRING)

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Sr. Database Administrator

Irvine, CA · On-site +1

$120K - $145K/yr

About This Job We are seeking a SQL DBA with hands-on Databricks experience to support and optimize ... This role combines strong database administration expertise with modern data engineering ...

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Sr. Database Administrator

Los Angeles, CA · On-site +1

$120K - $145K/yr

About This Job We are seeking a SQL DBA with hands-on Databricks experience to support and optimize ... This role combines strong database administration expertise with modern data engineering ...

Enterprise Architect, Platform

El Segundo, CA · On-site +1

$73.50 - $94.75/hr

Remote Job Type: Full-Time Remote Employment: Remote Optional Job Number: 00734.1 Department ... You will work closely with engineering and product leadership to align architecture across key ...

Enterprise Architect, Platform

El Segundo, CA · On-site +1

$73.50 - $94.75/hr

Remote Job Type: Full-Time Remote Employment: Remote Optional Job Number: 00734 Department ... You will work closely with engineering and product leadership to align architecture across key ...

Senior Data Engineer

Los Angeles, CA · On-site +1

$160K - $190K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... like LiveRamp, Snowflake or Databricks. * Exposure to identity/entity resolution and/or ...

Senior Analytics Engineer

Los Angeles, CA · On-site +1

$180K - $220K/yr

Hybrid (3 days in office/2 days remote) - New York, NY or Century City , CA About the Team: As a ... or Databricks . * Anticipate and solve common data access patterns across product, marketing ...

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Remote Databricks Developer information

What are the key skills and qualifications needed to thrive as a Remote Databricks Developer, and why are they important?

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

How does a Remote Databricks Developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What is a Remote Databricks Developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.

What is the difference between Remote Databricks Developer vs Data Engineer?

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

What are popular job titles related to Remote Databricks Developer jobs in Carson, CA? For Remote Databricks Developer jobs in Carson, CA, the most frequently searched job titles are:
What cities near Carson, CA are hiring for Remote Databricks Developer jobs? Cities near Carson, CA with the most Remote Databricks Developer job openings:
Senior Architect, Artificial Intelligence Security - AI Implementation - Remote

Senior Architect, Artificial Intelligence Security - AI Implementation - Remote

Molina Healthcare

Long Beach, CA • On-site, Remote

$87.57K - $189.73K/yr

Full-time

Posted 15 days ago


Molina Healthcare rating

8.0

Company rating: 8.0 out of 10

Based on 191 frontline employees who took The Breakroom Quiz

145th of 259 rated insurance


Job description

Job Description
Job Description
Job Summary
Provides senior level support for designing, implementing, and maintaining the security framework for Molina's artificial intelligence and machine learning systems. Serves as the subject matter expert for securing AI/ML workloads operating within Molina's Microsoft Azure and Databricks environments.
Job Duties
  • Designs Secure AI/ML Architectures: Develops and promotes secure, resilient, and scalable architecture patterns for AI/ML solutions built on Microsoft Azure, Databricks, and other platforms.
  • AI/ML Threat Modeling: Conducts comprehensive threat modeling and risk assessments specifically for AI/ML systems, identifying vulnerabilities related to model inversion, data poisoning, adversarial attacks, and prompt injection.
  • Agentic AI Security: Leads the threat modeling, risk assessment, and security control design for autonomous AI agents, focusing on mitigating risks such as prompt injection, tool abuse, and uncontrolled agentic behavior.
  • AI Tools: Establishes and enforces a comprehensive security and governance framework for our AI tools, such as Model Context Protocol (MCP) servers, ensuring the integrity, confidentiality, and availability of contextual data.
  • MLSecOps Integration: Collaborates with our MLOps and Data Science teams to embed automated security controls ("shift-left") into the entire machine learning development lifecycle, from data ingestion to model deployment.
  • Architectural Guidance: Maintains AI Reference Architectures and Guidance and updates the specification and publication of AI Standards and Patterns around AI technology, development, security, privacy, and observability.
  • Strategic Advisory & Business Alignment: Consults on AI capabilities across business and technology platforms, ensuring alignment between AI architecture frameworks and the organization's strategic goals. Offers actionable recommendations on solution design, risk mitigation, and cross-domain impacts.
  • Partner & Collaborate: Partners with solution architects, technology leaders, business, governance, cyber security, compliance, and privacy teams to identify AI risks, documents design decisions, and provides enterprise patterns to resolve issues.
  • Threat Research: Stays current with the latest threats and vulnerabilities targeting AI systems and develops proactive strategies to defend against them. Designs capabilities for AI Governance and Observability.

Job Qualifications
REQUIRED QUALIFICATIONS:
  • At least 5 years of experience in a senior cybersecurity role (e.g., Security Architect, Cloud Security Engineer), or equivalent combination of relevant education and experience.
  • Proven, hands-on experience securing AI/ML workloads and data pipelines within Microsoft Azure and Databricks platforms.
  • Deep understanding of the AI/ML lifecycle and MLOps practices.
  • Strong understanding of network, application, and data security controls in a cloud-native environment.
  • Demonstrated knowledge of the unique security challenges and threat landscape of AI/ML systems.
  • Proficient in Python and familiarity with data science and AI libraries.
  • Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
  • Displays intellectual curiosity, integrity, and is motivated by achieving long-term business outcomes.
  • Ability to work effectively in a team environment and lead cross-functional teams.

PREFERRED QUALIFICATIONS:
  • In-depth understanding of Agentic AI security, including common attack vectors and mitigation techniques.
  • Experience with Model Context Protocol (MCP) and securing the infrastructure that supports it.
  • Familiarity with MLSecOps principles and tools for security testing and automation in for Continuous Integration and Continuous Delivery/Continuous Deployment (CI/CD) pipelines.
  • Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or Azure Security Engineer Associate/Expert.
  • Exposure to governance and compliance regimes; a good understanding of security and privacy management, and regulatory requirements including Health Insurance Portability and Accountability Act Health Information Technology for Economic and Clinical Health Act (HIPAA HITECH).
  • Experience supporting agile teams by providing guidance on design, opportunities, impact, and risks, taking account of technical and architectural debt.
  • Experience designing Generative AI (GenAI) solutions, with experience in Machine Learning Operations (MLOps), Large Language Models (LLM), OpenAI, CoPilot Studio, Agentic AI frameworks such as Langchain, LangGraph and Agent Development Kit (Google ADK), Data Foundry, and Data Fabric.
  • Ability to balance the long-term (big picture) and short-term implications of individual decisions.

To all current Molina employees: If you are interested in applying for this position, please apply through the Internal Job Board.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

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About Molina Healthcare

Sourced by ZipRecruiter

Molina Healthcare is a nationwide fortune 500 organization with a mission to provide quality healthcare to people receiving government assistance. If you are seeking a meaningful opportunity in a team-oriented environment, come be a part of a highly engaged workforce dedicated to our mission. Bring your passion and talents and together we can make a difference in the lives of others.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Long Beach, CA, US

Year founded

1980

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