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Remote Databricks Developer Jobs in Arizona (NOW HIRING)

Centerwell

Lead Data Engineer - Primary Care

Phoenix, AZ · Remote

$101K - $134K/yr

Become a part of our caring community The Lead Data Engineer oversees data processing architectures ... Databricks, AWS, or GCP. Travel: While this is a remote position, occasional travel to Humana ...

Independence Pet Group

Senior Data Engineer

Scottsdale, AZ · Remote

$106K - $145K/yr

POSITION LOCATION: 100% remote reporting to: 11333 N Scottsdale Rd., Suite 160, Scottsdale, AZ ... Databricks, and SQL Server. 3) deploying and managing Azure cloud resources, including Data Lakes ...

New

Insight

You will have the flexibility to work fully remote from anywhere across the US. Insight at a Glance ... Databricks: ML Associate, Data Engineer Associate, Generative AI Engineer Associate Who You Are * A ...

XTG

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

... DevOps, and Dynamics 365 data integration initiatives. The Exponential Technology Group (XTG) is a ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Insight

$133K - $178K/yr

You will have the flexibility to work fully remote from anywhere across the US. Insight at a Glance ... Databricks: ML Associate, Data Engineer Associate, Generative AI Engineer Associate Who You Are * A ...

Carrington

Senior, Data Engineer

Chandler, AZ · Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... DevOps for managing code repositories and collaborative development. * Must have expert knowledge ...

Milliman

Client Success Manager (MedInsight)

Phoenix, AZ · Remote

$788/wk

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 ...

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All JobsRemote Databricks Developer JobsRemote Databricks Developer Jobs in Arizona

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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Remote Databricks Developer jobs near you

Director - Responsible AI, Governance & Compliance - AIRLHV

NavitasPartners

Mesa, AZ • On-site, Remote

Other

Posted 23 days ago

Job description

Director - Responsible AI, Governance & Compliance 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

We are looking for a Director-level leader to drive Responsible AI, governance, and compliance across enterprise AI and data initiatives. 

Key Responsibilities: 

  • Lead enterprise AI governance strategy and implementation  
  • Establish frameworks for ethical AI, compliance, and regulatory alignment  
  • Oversee governance for AI/ML and GenAI deployments  
  • Collaborate with stakeholders across data, engineering, and business teams  

Required Skills: 

  • Deep expertise in AI governance, compliance, and regulatory frameworks  
  • Strong cloud exposure (AWS, Azure, GCP)  
  • Proven leadership in enterprise-scale AI programs  

Nice to Have / Coverage: 

  • Experience with enterprise data platforms (Databricks, Snowflake, Synapse, BigQuery)  
  • Understanding of ML/AI engineering and MLOps pipelines  
  • Expertise in GenAI governance, agentic AI oversight  
  • Alignment with cloud/data platform architecture strategies  

For more details reach at resumes@navitassols.com.

Apply