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Remote Azure Databricks Jobs in Plano, TX (NOW HIRING)

Databricks Architect

Dallas, TX · Remote

$66.25 - $87/hr

Databricks Architect Location: Remote - Dallas, Texas Role/Responsibilities * Lead the data ... Expertise in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure DevOps, and Azure ...

Remote Duration: 12+ Months Experience: 7+ Years Note : Please don't share CPT , OPT and OPT EAD visa resumes JD: Key Skills : TypeScript, Azure, Databricks, DevOps, REST APIs Responsibilities: Lead ...

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ... Own end-to-end architecture for the Databricks-on-Azure lakehouse platform , including workspace ...

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ... Own end-to-end architecture for the Databricks-on-Azure lakehouse platform , including workspace ...

Net Developer

Irving, TX · Remote

$49.50 - $65.25/hr

... Remote We're seeking a hands-on Engineering Team Lead to design and deliver scalable backend ... Databricks, .NET, data processing, and Azure-based Cloud/DevOps practices. The Team Lead will ...

New

Remote (Needs to travel to client site when required with your own expenses) Duration: Long term ... Big data technologies on AWS/Azure/GCP * Apache Spark/DataBricks framework (Python/Scala)

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Remote Duration: CTH/FTE Type: Only W2 Note: Client have two roles and One role is a Lead role and ... Databricks * Must have Azure (Azure Data Factory, Azure Synapse Analytics) develop and maintain ...

Advanced proficiency in SQL and data warehousing technologies (Azure Databricks preferred ... Location: Remote -Atlanta, GA, Dallas, TX, Pensacola, FL, Tallahassee, FL, Wichita, KS If this ...

Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake ... Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable) * Advanced SQL ...

AWS, Azure, GCP, Oracle Cloud, IBM Cloud; SaaS sources incl. M365 & Salesforce * Architect and ... Databricks & ServiceNow CMDB familiarity a plus * API-based integration experience; DSPM tooling ...

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Remote Azure Databricks information

Is Databricks a high paying job?

A remote Azure Databricks professional, such as a data engineer or data scientist, typically earns a competitive salary due to the specialized skills required, including expertise in cloud platforms, Spark, and data analytics. Salaries vary based on experience, location, and certifications but are generally above average for tech roles in data management and cloud computing.

What is the salary of Azure Databricks developer?

The salary of an Azure Databricks developer typically ranges from $90,000 to $140,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in Spark, cloud environments, and data engineering can command higher salaries.

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.

Do Databricks have remote positions?

Remote positions for roles involving Azure Databricks are available, especially for data engineers, data scientists, and cloud specialists. Many companies offer remote work options for these roles, often requiring proficiency with cloud platforms, Spark, and data processing tools. Availability depends on the employer and specific job requirements.

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.

Is Azure Databricks in demand?

Azure Databricks professionals are in high demand due to the platform's widespread adoption for big data analytics and machine learning projects. Skills in Spark, cloud computing, and data engineering with Azure are valuable for these roles, which are often available in industries focusing on data-driven decision making.

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 the most commonly searched types of Azure Databricks jobs in Plano, TX? The most popular types of Azure Databricks jobs in Plano, TX are:
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What cities near Plano, TX are hiring for Remote Azure Databricks jobs? Cities near Plano, TX with the most Remote Azure Databricks job openings:

Azure Databricks Architect Healthcare Payer

VeeRteq Solutions Inc.

Irving, TX • Remote

$65 - $84.75/hr

Contractor

Medical

Posted 2 days ago


Job description

Job Title: Techno-Functional Azure Databricks Architect – Healthcare Payer

Location: Princeton, NJ (Remote)

Role Summary

We are seeking a highly experienced Techno-Functional Azure Databricks Architect with deep expertise in the Healthcare Payer domain and a proven track record of leading large-scale Enterprise Data Warehouse (EDW) to Azure Databricks migration programs.

The ideal candidate will possess strong architecture, data engineering, stakeholder management, and delivery leadership skills, capable of driving digital transformation initiatives from strategy through execution.

This role requires a blend of technical architecture expertise, domain knowledge in healthcare payer operations, and program leadership capabilities including client engagement, work allocation, team mentoring, and governance management.

Key ResponsibilitiesArchitecture & Solution Design
  • Define end-to-end cloud data architecture and migration strategy for enterprise data modernization initiatives.
  • Lead migration of legacy EDW platforms (Teradata, Netezza, Oracle, SQL Server, Hadoop, etc.) to Azure Databricks Lakehouse architecture.
  • Design scalable, secure, and cost-optimized data platforms leveraging Azure services.
  • Establish architectural standards, reusable frameworks, and best practices for data ingestion, transformation, and data consumption.
Healthcare Payer Domain Leadership
  • Collaborate with business stakeholders to understand payer processes and data requirements.
  • Translate healthcare business requirements into technical solutions supporting:
    • Claims Processing
    • Membership & Enrollment
    • Provider Management
    • Benefits Administration
    • Care Management
    • Utilization Management
    • Risk Adjustment
    • HEDIS/Quality Reporting
    • Regulatory Reporting
    • Data Migration & Modernization
    • Lead legacy EDW assessment and migration planning activities.
    • Define migration patterns, data validation frameworks, reconciliation strategies, and cutover plans.
    • Oversee data profiling, data quality assessments, and remediation activities.
    • Design and implement ETL/ELT solutions using Azure-native technologies.
    • Ensure successful migration with minimal business disruption.
Client & Stakeholder Management
  • Act as primary technology advisor for client stakeholders and executive leadership.
  • Lead architecture discussions, workshops, and solution review sessions.
  • Present solution roadmaps, risk assessments, and migration strategies to business and IT leadership.
  • Manage client escalations, dependencies, and expectations throughout project lifecycle.
Team Leadership & Delivery Governance
  • Allocate work across architects, engineers, analysts, and migration teams.
  • Provide technical leadership and mentoring to delivery teams.
  • Conduct solution reviews, code reviews, and architecture governance meetings.
  • Monitor project scope, risks, dependencies, and delivery milestones.
  • Ensure adherence to SDLC, Agile, and enterprise governance standards.
Data Governance & Security
  • Establish data governance frameworks and metadata management strategies.
  • Ensure compliance with HIPAA, PHI, PII, CMS, and healthcare regulatory requirements.
  • Implement data security, encryption, data masking, and access control mechanisms.
Required Technical SkillsAzure Ecosystem
  • Azure Databricks
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • Azure Data Lake Storage Gen2 (ADLS)
  • Azure SQL Database
  • Azure Functions
  • Azure Key Vault
  • Azure Monitor
  • Microsoft Fabric (preferred)
Data Engineering
  • Apache Spark
  • PySpark
  • Delta Lake
  • SQL
  • Python
  • ETL/ELT Design
  • Data Modeling (Dimensional & Data Vault)
  • Data Quality Frameworks
Enterprise Data Warehouse Experience

Experience with one or more:

  • Teradata
  • IBM DB2
  • Hadoop Ecosystem
  • DevOps & Automation
  • Azure DevOps
  • CI/CD Pipelines
  • Git
  • Infrastructure as Code
  • Deployment Automation
  • Healthcare Payer Expertise

    Strong experience working with:

  • Member Data
  • Claims Data
  • Provider Data
  • Eligibility & Enrollment
  • Benefits Configuration
  • Encounter Data
Healthcare Payer Expertise

Strong experience working with:

  • Member Data
  • Claims Data
  • Provider Data
  • Eligibility & Enrollment
  • Benefits Configuration
  • Encounter Data
  • Risk Adjustment Data
  • HEDIS Measures
  • Pharmacy Data
  • Value-Based Care Programs
  • CMS Reporting Requirements
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
  • 12+ years of IT experience with at least:
    • 5+ years in Azure Data & Analytics architecture.
    • 5+ years in Healthcare Payer domain.
    • 3+ large-scale cloud migration programs.
  • Proven experience leading EDW to Azure Databricks migration initiatives.
  • Strong stakeholder communication and executive presentation skills.
  • Experience leading onsite-offshore delivery models.
Preferred Certifications
  • Microsoft Certified: Azure Solutions Architect Expert
  • Microsoft Certified: Azure Data Engineer Associate
  • Databricks Certified Data Engineer Professional
  • Databricks Certified Solution Architect
  • TOGAF Certification
  • PMP / SAFe Agilist
Key CompetenciesFunctional
  • Healthcare Payer Business Processes
  • Requirements Analysis
  • Solution Consulting
  • Stakeholder Management
  • Business Process Transformation
Technical
  • Cloud Architecture
  • Data Platform Modernization
  • Data Migration Strategy
  • Azure Databricks Lakehouse
  • Data Governance
Leadership
  • Client Engagement
  • Team Management
  • Work Allocation & Resource Planning
  • Delivery Governance
  • Executive Communication
  • Risk and Issue Management
  • Success Metrics
  • Successful migration of EDW assets to Azure Databricks.
  • Improved data platform scalability and performance.
  • Reduced operational costs through cloud modernization.
  • High client satisfaction and stakeholder engagement.
  • Strong adherence to delivery timelines and quality standards.
  • Effective governance and team productivity.
VeeRteq Solutions is an Equal Opportunity Employer