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Remote Azure Databricks Jobs (NOW HIRING)

Senior Data Engineer

Springfield, IL · Remote

$105K - $142K/yr

Azure certifications Why Apply? * 100% Remote * Enterprise-scale data engineering projects * Work with Azure, Databricks, Snowflake, Python, and modern cloud technologies * High-impact role ...

Remote Compensation: Commensurate with experience FocusPoint is recruiting an experienced Power BI ... Use SQL and Azure Databricks to collaborate effectively on data pipelines and data model ...

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... strong experience in Azure Databricks / AWS Databricks, specializing in End-to-End MLOps ...

Remote Job Type: Long-Term Contract We are looking for an experienced Databricks Administrator to ... • Azure / AWS / GCP • IAM & Terraform • Databricks CLI & REST APIs • Python / Bash ...

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks ... Have you worked with Azure DevOps, Azure Databricks, Azure Functions, or Azure Pipelines? * Can you ...

Architect (Remote)

$185K - $205K/yr

This position is fully remote, located in the United States. Responsibilities * Architect and pre ... Strong knowledge of Azure Databricks, VHA Data Lake architectures, and enterprise data governance.

Databricks Architect

Pittsburgh, PA · On-site +1

$62.75 - $82.50/hr

Pittsburgh, PA (Hybrid Preferred) | Remote Considered Type: Full-Time Overview: We are seeking a ... Experience with AWS, Azure, or GCP. * Strong leadership and stakeholder management skills.

Ontario, Canada - Remote & USA - Remote Experience: up to 15 years * 10-12 years of experience in ... Strong experience with AWS or other cloud data ecosystems (Azure, Databricks, Snowflake, GCP)

This position is fully remote, located in the United States. Responsibilities * Architect and pre ... Strong knowledge of Azure Databricks, VHA Data Lake architectures, and enterprise data governance.

Showing results 41-60

Remote Azure Databricks information

What is a remote Azure Databricks?

Remote Azure Databricks jobs are positions where professionals use Azure Databricks—a cloud-based analytics platform optimized for big data and machine learning—while working from a remote location. These roles typically involve tasks like building data pipelines, analyzing large datasets, developing and deploying machine learning models, and collaborating with teams virtually. Remote Azure Databricks professionals need strong skills in Spark, Python or Scala, and a good understanding of cloud computing. They often work as data engineers, data scientists, or analytics specialists, leveraging the platform’s capabilities to deliver data-driven insights for organizations.

What skills and qualifications are needed to thrive as a remote Azure Databricks professional?

To thrive as a Remote Azure Databricks professional, you need strong expertise in data engineering, cloud computing, and proficiency in programming languages such as Python or Scala, typically supported by a relevant degree or certifications. Familiarity with Azure services, Databricks platform, Spark, and data pipeline orchestration tools is essential, often validated by Microsoft Azure or Databricks certifications. Excellent problem-solving, collaboration, and communication skills help you work effectively in distributed teams and convey complex technical concepts clearly. These skills and qualifications ensure robust data solutions, efficient remote teamwork, and the ability to leverage cloud analytics for business impact.

What are common challenges faced by remote Azure Databricks engineers, and how can they be managed?

Remote Azure Databricks engineers often encounter challenges related to collaboration and data security. Since Databricks projects typically involve large datasets and multiple stakeholders, coordinating work across time zones and ensuring secure data access can be complex. To manage these challenges, it's important to establish clear communication channels, use project management tools, and follow best practices in data governance. Regular team meetings and thorough documentation also help maintain alignment and ensure project success.

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

AspectRemote Azure DatabricksRemote Data Engineer
Required CredentialsAzure certifications, Spark/Databricks knowledgeData engineering certifications, SQL, cloud platform skills
Work EnvironmentCloud-based, collaborative platform for data analyticsData pipelines, database management, cloud environments
Industry UsageData analytics, AI, machine learning projectsData pipeline development, ETL processes

Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.

More about Remote Azure Databricks jobs

What cities are hiring for Remote Azure Databricks jobs?

Cities with the most Remote Azure Databricks job openings:

What are the most commonly searched types of Azure Databricks jobs?

The most popular types of Azure Databricks jobs are:

What states have the most Remote Azure Databricks jobs?

States with the most job openings for Remote Azure Databricks jobs include:

Infographic showing various Remote Azure Databricks job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 1% Part Time, and 8% Contract. Highlights an 73% Physical, 10% Hybrid, and 17% Remote job distribution.

Senior Data Engineer

MSR Technology Group

Springfield, IL • Remote

$105K - $142K/yr

Full-time

Posted 12 days ago


Job description

Senior Data Engineer (ETL / Python Developer)
Remote (Must reside within the Continental U.S.)
No C2C, Third-Party Vendors, Sponsorship, or Employer Representatives. Direct candidates only.
We are seeking a Senior Data Engineer with strong ETL, Python, and cloud data engineering experience to support enterprise data warehouse and analytics initiatives. This role is responsible for building and optimizing scalable data pipelines, modernizing legacy environments, and supporting critical reporting and analytics solutions.
What You'll Do
  • Design, develop, and support enterprise ETL and data integration solutions
  • Build scalable data pipelines using Python, Spark, and Databricks
  • Develop and optimize complex SQL queries, stored procedures, and database solutions
  • Support cloud migration and modernization initiatives
  • Implement data validation, reconciliation, and data quality processes
  • Collaborate with architects, analysts, QA teams, and business stakeholders
  • Troubleshoot production issues and perform root cause analysis
  • Participate in code reviews, source control, and CI/CD processes
Required Qualifications
  • 5+ years of Data Engineering experience
  • 5+ years of ETL development experience using Informatica PowerCenter, Azure Data Factory, Teradata, or similar tools
  • 5+ years of hands-on Python development
  • 5+ years of Teradata experience
  • 3+ years of Spark and Databricks experience
  • Strong SQL development and performance tuning skills
  • Experience with Snowflake, Oracle, SQL Server, or similar platforms
  • Experience with SnowSQL and Snowpark (Python)
  • Experience with Azure DevOps, GitHub, Git, and CI/CD practices
  • Strong analytical, troubleshooting, and problem-solving skills
Preferred Qualifications
  • Healthcare, Medicaid, or Medicare experience
  • State government or large enterprise data warehouse experience
  • Azure cloud experience
  • Data modeling and warehouse design experience
  • PowerShell or Bash scripting
  • API integration experience
  • Experience with data quality, reconciliation, and audit processes
  • Azure certifications
Why Apply?
  • 100% Remote
  • Enterprise-scale data engineering projects
  • Work with Azure, Databricks, Snowflake, Python, and modern cloud technologies
  • High-impact role supporting large data and analytics initiatives
  • Collaborative engineering-focused environment
If you are passionate about Python, ETL development, cloud data platforms, and building scalable enterprise data solutions, we'd love to hear from you.