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Remote Databricks Data Engineer Jobs in Arizona (NOW HIRING)

Collaborate with technical SMEs (data engineers, data scientists, cloud architects) to validate ... Databricks, key ISVs) and incorporate their capabilities into client solutions. * Assist sellers in ...

Senior Data & AI Engineer

Phoenix, AZ ยท On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Senior Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions ...

Overview This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to ... Strong programming experience, preferably in Python * Advanced level of experience with databases ...

Overview This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to ... Strong programming experience, preferably in Python * Advanced level of experience with databases ...

Sr Analyst, Data Solution Analyst

Scottsdale, AZ ยท On-site +1

$86K - $109K/yr

Remote internal associates may also be considered. This role requires expertise in Databricks ... Applies secure software and systems engineering practices throughout the delivery lifecycle to ...

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Remote Databricks Data Engineer information

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

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
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Director - Responsible AI, Governance & Compliance - AIRLHV

NavitasPartners

Phoenix, AZ โ€ข On-site, Remote

Full-time

Posted 21 days ago


Job description

Director โ€“ 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.