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Remote Azure Databricks Jobs (NOW HIRING)

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Enterprise Data Solution Architect Atlanta, GA(Remote) Full-time role Skills Required: ADF(Azure Data Factory); Databricks; Python; SQL and Azure cloud JD: Required Skills & Qualifications:

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

You'llwork across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready ... Remote(USA)or hybrid (Santa Cruz County, CA) Compensation:The estimated base salary range for this ...

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/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 ...

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 ...

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

$108K - $130K/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 ...

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/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 ...

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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.
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:
What job categories do people searching Remote Azure Databricks jobs look for? The top searched job categories for Remote Azure Databricks jobs are:
Infographic showing various Remote Azure Databricks job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 93% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Data ArchitectStrong Azure Services-strong Finance exp(GL, AR, AP)

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Frisco, TX • Remote

$65 - $84.75/hr

Full-time

Re-posted 3 days ago


Job description

Job Title: Data Architect Finance (GL, AR, AP) with Strong Azure Services
W2 Role
12+ years of exp only- please dont submit if you dont have Finance (GL, AR, AP) experience
Complete remote

Job Summary

We are seeking a highly skilled Data Architect with strong expertise in financial domains including General Ledger (GL), Accounts Receivable (AR), and Accounts Payable (AP). The ideal candidate will have the ability to understand complex business data and design scalable, efficient data models that support financial reporting, analytics, and compliance. This role requires deep experience in architecting modern data platforms using Microsoft Azure.
Key Responsibilities

  • Understand business requirements and translate them into scalable data architecture and data models.
  • Design conceptual, logical, and physical data models for finance systems (GL, AR, AP).
  • Architect and implement end-to-end data solutions on Microsoft Azure.
  • Build and maintain enterprise data warehouse and data lake architectures.
  • Integrate data from ERP systems (SAP, Oracle, NetSuite) and other upstream sources.
  • Develop and optimize ETL/ELT pipelines using Azure Data Factory and Databricks.
  • Enable batch and real-time data processing using Azure-native services.
  • Ensure data quality, consistency, and reconciliation across financial systems.
  • Support financial reporting including P&L, Balance Sheet, and Cash Flow.
  • Implement data governance, lineage, and cataloging using Azure Purview.
  • Collaborate with finance, business, and engineering teams for solution delivery.
  • Optimize performance, scalability, security, and reliability of data platforms.
Core Skills & Qualifications

  • Strong ability to understand business data and design effective data models.
  • Expertise in data modeling techniques (ER modeling, dimensional modeling star/snowflake schema).
  • Strong hands-on experience with Microsoft Azure data services, including:
    • Azure Data Factory (ADF)
    • Azure Synapse Analytics
    • Azure Data Lake Storage (ADLS Gen2)
    • Azure Databricks
    • Azure SQL Database / Managed Instance
    • Azure Event Hub & Stream Analytics (real-time ingestion)
    • Azure Functions & Logic Apps (integration and automation)
    • Azure Purview (data governance and lineage)
  • Experience with data warehousing platforms (Snowflake, Redshift, Azure Synapse, BigQuery).
  • Strong proficiency in SQL and data transformation frameworks.
  • Knowledge of ETL tools (Informatica, Talend, DataStage, ADF).
  • Familiarity with BI tools (Tableau, Power BI, MicroStrategy).
  • Understanding of data lakehouse architecture and medallion design (Bronze/Silver/Gold).
  • Strong understanding of accounting principles and financial processes.
Domain Expertise

  • General Ledger (GL): Journal entries, chart of accounts, financial close
  • Accounts Receivable (AR): Billing, invoicing, collections
  • Accounts Payable (AP): Vendor invoices, payments, procure-to-pay cycle
Preferred Qualifications

  • Experience with ERP systems (SAP FI/CO, Oracle Financials, NetSuite)
  • Knowledge of compliance standards (SOX, GAAP, IFRS)
  • Experience in finance transformation and data migration programs
  • Strong experience in Azure cloud architecture and implementation
Nice to Have

  • Experience with real-time streaming technologies (Kafka, Spark)
  • Knowledge of Python or scripting languages
  • Experience working in large enterprise environments

This is a remote position.