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Remote Azure Databricks Jobs (NOW HIRING)

$28 - $30/hr

Remote Type: Corp to Corp Start Date: ASAP Pay Rate: $28-$30 per hour Contract Length: 12 months ... Azure Databricks to process large volumes of data. * Data Quality and Transformation: Ensure the ...

Richmond, VA (work is hybrid if in Richmond, or fully remote) Duration: 6+ months Rate: max client ... Databricks, Azure DevOps, GitHub, etc.) - this includes all Service, Incident, Change, and Problem ...

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108.30K - $130.10K/yr

Remote option available for candidates outside of surrounding areas. This role requires a highly ... proficiency in Azure Databricks, distributed data pipelines, and large-scale healthcare data ...

New

Azure Developer - Remote

Lakeland, FL · On-site +1

$51 - $63.25/hr

Azure Developer Location: (100% remote) Duration: 12 months Azure Development - (50%) Front End - ... Development of Databricks (Spark), Kafka workloads * Experience with JSON, AVRO, Parquet Delta ...

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108.30K - $130.10K/yr

Remote option available for candidates outside of surrounding areas. This role requires a highly ... proficiency in Azure Databricks, distributed data pipelines, and large-scale healthcare data ...

BioTech Data Engineer

Saint Louis, MO · Remote

$111.30K - $133.70K/yr

Remote The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across ...

Senior DevOps Engineer

Seattle, WA · Remote

$133.10K - $170.90K/yr

Remote - USA The AES Group is hiring an experienced Senior DevOps Engineer to join our growing ... Support Azure cloud-native services, including Azure Databricks, for data engineering and AI/ML ...

Data Bricks Data Engineer

Arlington, VA · Remote

$120K - $150K/yr

Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance ... management, remote backends). * Proven experience working on Databricks platform operations ...

Data Bricks Data Engineer

Plano, TX · Remote

$120K - $150K/yr

Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance ... management, remote backends). * Proven experience working on Databricks platform operations ...

Data Bricks Data Engineer

Renton, WA · Remote

$120K - $150K/yr

Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance ... management, remote backends). * Proven experience working on Databricks platform operations ...

Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance ... management, remote backends). * Proven experience working on Databricks platform operations ...

Data Bricks Data Engineer

Charleston, SC · Remote

$120K - $150K/yr

Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance ... management, remote backends). * Proven experience working on Databricks platform operations ...

Data Bricks Data Engineer

Dallas, TX · Remote

$120K - $150K/yr

Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance ... management, remote backends). * Proven experience working on Databricks platform operations ...

Data Bricks Data Engineer

Bellevue, WA · Remote

$120K - $150K/yr

Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance ... management, remote backends). * Proven experience working on Databricks platform operations ...

Data Bricks Data Engineer

Everett, WA · Remote

$120K - $150K/yr

Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance ... management, remote backends). * Proven experience working on Databricks platform operations ...

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Showing results 1-20

Remote Azure Databricks information

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

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 some 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 are Remote Azure Databricks jobs?

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 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 May 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution.
100% REMOTE - Engineering Manager (Data Warehouse - DataBricks, Azure, DevSecOps)

100% REMOTE - Engineering Manager (Data Warehouse - DataBricks, Azure, DevSecOps)

Intermedia Group, Inc.

Remote

$132.18K - $174.48K/yr

Other

Posted 8 days ago


Job description

OPEN JOB: Engineering Manager (Data Warehouse)
LOCATION:100% REMOTE
BASE SALARY: $132,181 to $174,478
BONUS ELIGIBLE -Yes
FULL-TIME
FULL BENEFITS
NOTE: This is a FULL TIME SALARIED w2 POSITION DIRECTLY WITH THIS EMPLOYER (a large healthcare provider. THE ROLE IS FULLY REMOTE.
  • We are seeking an Engineering Manager (Data Warehouse Engineering) with at least seven (7) years of progressive experience in data engineering or data warehouse architecture, including technical leadership in complex, regulated environments.
  • The ideal candidate brings deep expertise in Databricks and Azure, along with a strong foundation in DevSecOps, automation, and secure, scalable data platforms.

IDEAL CANDIDATE:
  • hands-on architectural ownership and technical leadership at scale - not individual contributor-only experience.
  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related technical field
  • Data engineering or data warehouse architecture
  • Served in a technical leadership role (e.g., Lead Engineer, Architect, Engineering Manager)
  • Direct supervisory experience (including performance management and mentoring)
  • Architected and implemented enterprise-scale solutions in Databricks (not just used it)
  • Implemented complex, production-grade data pipelines with Spark and Delta Lake
  • Architected and deployed data infrastructure on Microsoft Azure (Data Factory, Azure SQL, Storage, Synapse, etc.)
  • Implemented DevSecOps frameworks in a regulated industry (e.g., healthcare, financial services)
Engineering Manager (Assignment: Data Warehouse Engineering)
  • Our client, a large national healthcare provider helps seniors stay in their homes and communities by providing medical care and community-based services.
  • The Engineering Manager, Data Warehouse Engineering assignment will lead the architecture, engineering, and optimization of the firm's data warehouse built on Databricks and Azure, enabling scalable analytics across the enterprise.
  • The ideal candidate will possess expertise in Databricks, Azure Data Services, DevSecOps, and modern CI/CD automation pipelines, with proven experience building secure, compliant data architectures in a healthcare setting.
  • This role includes data architecture, mentoring a team of data engineers, and fostering an innovative, collaborative engineering culture that embraces automation, modern development practices, and emerging AI-driven solutions.

This role is different because the Engineering Manager (Date Warehouse Engineering)
  • Directly architects and secures the enterprise data foundation that powers care delivery for vulnerable seniors, building a compliant, AI-enabled Databricks/Azure lakehouse that transforms clinical, operational, and regulatory data into actionable insights across the organization
  • Operates as a true hands-on technical leader, not just a people manager, blending data architecture, DevSecOps automation, CI/CD rigor, and healthcare compliance expertise to scale a modern, secure data platform while mentoring a high-performing, innovation-driven engineering team

On the day-to-day, you will:
  • Lead, mentor, and develop a high-performing team of data engineers, fostering an engineering culture centered on collaboration, innovation, and continuous improvement
  • Architect, design, and manage data warehouse and lakehouse solutions on Databricks and Azure, ensuring scalability, security, and compliance with healthcare regulations
  • Evaluate and implement AI and machine learning technologies within Databricks and Azure environments to optimize data processes and accelerate analytics capabilities
  • Implement DevSecOps principles across the data engineering environment, integrating security, compliance, and automation into every stage of the development lifecycle
  • Develop and manage CI/CD pipelines for data engineering workflows to promote automated testing, deployment, and environment consistency
  • Drive automation across data ingestion, transformation, and quality frameworks to deliver efficient, robust, and scalable data processes
  • Collaborate with Analytics, IT, and business partners to deliver secure, efficient, and compliant data warehouse solutions that meet organizational data needs, as well as oversee data modeling, integration, governance, and data quality frameworks that ensure accuracy, consistency, and business trust in analytic data sets

Job Requirements Include:
  • Bachelor's or master's degree in computer science, information systems, data engineering, or related field
  • Minimum of seven (7) years of experience in data engineering or data warehouse architecture, including at least three (3) years in a technical leadership position
  • Two (2) years of supervisory experience with demonstrated ability to mentor and develop team members
  • Deep expertise in Databricks architecture including Delta Lake, Apache Spark, and MLflow, with strong experience implementing complex data pipelines and transformations
  • Hands-on experience architecting and deploying analytics and data infrastructure on Microsoft Azure (Data Factory, Azure SQL, Storage, etc.)
  • Proven experience implementing DevSecOps frameworks, secure data operations, and governance in regulated industries - healthcare experience strongly preferred
  • Strong understanding of CI/CD, infrastructure-as-code, and automation tools such as GitHub Actions, Azure DevOps, or equivalent technologies
  • Experience integrating AI and machine learning capabilities to streamline data workflows and enhance analytical insights

If you are interested in pursuing this opportunity, please respond back and include the following:
  • MS WORD Resume
  • required compensation.
  • Contact information.
  • Availability

Upon receipt, one of our managers will contact you to discuss the position in full detail.
STEPHEN FLEISCHNER
Recruiting Manager
INTERMEDIA GROUP, INC.
EMAIL:sfleischner@intermediagroup.com