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Remote Databricks Developer Jobs in Riverside, CA

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 ...

Client Success Managers work closely with our client engineering teams (located in both the US and ... Experience with Databricks and cloud platforms, particularly Microsoft Azure * Prior exposure to ...

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Bachelor's degree in Business Economics or Engineering. Master's Degree preferred, and/or minimum ... Experienced using the modern data stack (e.g., Databricks, MS SQL) and BI tools (Tableau, PowerBI ...

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Bachelor's degree in Business Economics or Engineering. Master's Degree preferred, and/or minimum ... Experienced using the modern data stack (e.g., Databricks, MS SQL) and BI tools (Tableau, PowerBI ...

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Bachelor's degree in Business Economics or Engineering. Master's Degree preferred, and/or minimum ... Experienced using the modern data stack (e.g., Databricks, MS SQL) and BI tools (Tableau, PowerBI ...

Bachelor's degree in Business Economics or Engineering. Master's Degree preferred, and/or minimum ... Experienced using the modern data stack (e.g., Databricks, MS SQL) and BI tools (Tableau, PowerBI ...

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Bachelor's degree in Business Economics or Engineering. Master's Degree preferred, and/or minimum ... Experienced using the modern data stack (e.g., Databricks, MS SQL) and BI tools (Tableau, PowerBI ...

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.

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.

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.
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Senior AI Engineers /Architects

Amtex System Inc.

Irvine, CA • On-site, Remote

Other

Posted yesterday


Job description

Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 25 years.

Our solutions are designed to fill resource gaps, by providing the right candidates who deliver value to the organization. Our propensity to nurture and build strong relationships with our clients helps us better understand their business demands and gives us the ability to provide services that are on time and rise above the rest.


Sr. AI Engineers / Architects

2-3 days / week in the client’s Irvine office, 1 day in their downtown LA office, 1 day remote

Long Term Contract 

Any Visa

Mandatory Areas
• AI/ML Solution Architecture
• LLM & Generative AI Development
• Agent-Based Systems
• Retrieval-Augmented Systems (RAG)
• Enterprise AI Integration


Must Have Skills
• Skill 1 – Generative AI / LLM (RAG, embeddings, prompt engineering)
• Skill 2 – AWS Cloud (OpenSearch, Neptune, DynamoDB, ElastiCache/Redis)
• Skill 3 – Vector Search & Retrieval Systems (OpenSearch / vector DB)
• Skill 4 – Graph Databases (Amazon Neptune, knowledge graphs)
• Skill 5 – LLM Frameworks (LangChain / LlamaIndex)
• Skill 6 – Agentic AI Frameworks (LangGraph / AutoGen / CrewAI)
• Skill 7 – Databricks & Apache Spark (data pipelines, embedding pipelines)
• Skill 8 – Backend/API Development (Python, scalable APIs, microservices)
________________________________________
Domain Experience (If any) –
• AI/ML Platform Engineering
• Generative AI / LLM Applications
• Data Platform / Big Data Engineering

What You Need:
At least 8+ years of experience in AI/ML, Data Science, or Software Engineering
Strong Python backend development experience
Hands-on experience with LLM-enabled applications and Generative AI
Experience building agent-based / agent-oriented AI systems
Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing)
Experience with API development and backend system integration
AWS cloud-native development experience
Experience with CI/CD pipelines and environment management
Strong understanding of observability (logging, monitoring, tracing)
Experience deploying ML models in production environments
Exposure to enterprise AI workflows, automation, and governance models

Nice to Have Certifications –
• AWS Certification (Preferred):
• AWS Certified Solutions Architect OR
• AWS Certified Machine Learning Specialty OR
• AWS Data Engineer Certification

ML / AI certifications are good to have
 

Regards,
 
Puneet.