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Online Azure Databricks Jobs (NOW HIRING)

CFS

Data Engineer

Mishawaka, IN · Hybrid

$150K/yr

Design, build, and maintain scalable data pipelines using Databricks, Azure, Python, and Spark ... online

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Design, build, and maintain scalable data pipelines using Databricks, Azure, Python, and Spark ... online

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Design, build, and maintain scalable data pipelines using Databricks, Azure, Python, and Spark ... online

CFS

Data Engineer

Mishawaka, IN · Hybrid

$150K/yr

Design, build, and maintain scalable data pipelines using Databricks, Azure, Python, and Spark ... online

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Design, build, and maintain scalable data pipelines using Databricks, Azure, Python, and Spark ... online

CFS

Data Engineer

Mishawaka, IN · Hybrid

$150K/yr

Design, build, and maintain scalable data pipelines using Databricks, Azure, Python, and Spark ... online

U-Haul

Business Intelligence Analyst

Phoenix, AZ · On-site

Experience with Azure Databricks or similar cloud-based data platforms such as Snowflake ... Free online courses for personal and professional development at U-Haul University * Business and ...

U-Haul

Business Intelligence Analyst

Phoenix, AZ · On-site

Experience with Azure Databricks or similar cloud-based data platforms such as Snowflake ... Free online courses for personal and professional development at U-Haul University ® * Business ...

MeridianLink

Data Scientist, AI Data Foundations

$114K - $175K/yr

Design, build, and operate feature store assets used for model training and online/offline ... Azure Databricks, Delta Lake, Unity Catalog, PySpark, SQL • AI Data Foundations: Databricks ...

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All JobsOnline Azure Databricks Jobs

Online Azure Databricks information

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How much do online azure databricks jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for online azure databricks in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

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

AspectOnline Azure DatabricksData Engineer
Primary RoleDeveloping and managing data analytics solutions using Azure Databricks platformDesigning, building, and maintaining data pipelines and infrastructure
Required SkillsAzure Databricks, Spark, Python, SQL, cloud computingSQL, ETL, cloud platforms, programming, data modeling
Work EnvironmentCloud-based, collaborative data platformData warehouses, cloud services, scripting environments
CertificationsAzure Data Engineer, Databricks certificationsAzure Data Engineer, AWS Data Analytics certifications

Online Azure Databricks specialists focus on implementing data analytics solutions within the Azure platform, while Data Engineers design and build the data infrastructure and pipelines across various environments. Both roles require cloud and data processing skills but differ in their core responsibilities and tools used.

More about Online Azure Databricks jobs
What cities are hiring for Online Azure Databricks jobs? Cities with the most Online 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 Online Azure Databricks jobs? States with the most job openings for Online Azure Databricks jobs include:
What job categories do people searching Online Azure Databricks jobs look for? The top searched job categories for Online Azure Databricks jobs are:
Online Azure Databricks jobs near you
Infographic showing various Online Azure Databricks job openings in the United States as of May 2026, with employment types broken down into 3% Locum Tenens, 95% Full Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 1% Hybrid, and 22% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Data Engineer

CFS

Mishawaka, IN • Hybrid

$150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level)

About the Role

An organization in South Bend, IN is seeking a Data Engineer to play a critical role in building and optimizing a centralized enterprise data platform. This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark.

As the organization consolidates data into a single, unified platform, this role will focus on engineering robust ETL/ELT processes, modernizing legacy data workflows, and ensuring reliable, high-performance data delivery across the enterprise.

This is a highly visible role working closely with analytics, IT, and business stakeholders to support enterprise-wide reporting, operational intelligence, and long-term data strategy.

What We're Looking For

Must-Have Skills

  • Strong experience with Azure data services (Azure Data Factory, Azure SQL, Synapse, etc.)
  • Hands-on experience with Databricks
  • Strong proficiency in Python and Spark
  • Experience developing and optimizing ETL/ELT pipelines
  • Background working with legacy Microsoft tools such as SSIS and SSRS
  • Deep understanding of data modeling, transformation logic, and pipeline architecture
  • Experience consolidating data into centralized or cloud-based platforms
  • Strong SQL skills
  • Ability to troubleshoot performance issues and optimize large-scale datasets
  • Strong communication skills and ability to collaborate cross-functionally

Nice-to-Have

  • Experience supporting enterprise BI/reporting environments
  • Exposure to ERP, operational, or transactional data systems
  • Experience in manufacturing, agriculture, supply chain, or similar industries
  • Familiarity with data governance and best practices

Key Responsibilities

Data Engineering & Platform Development

  • Design, build, and maintain scalable data pipelines using Databricks, Azure, Python, and Spark
  • Migrate and modernize legacy SSIS/SSRS workflows into the centralized data platform
  • Develop robust ETL/ELT processes to integrate data from multiple enterprise systems

Data Architecture & Optimization

  • Support the design of a unified enterprise data model
  • Optimize data processing performance and reliability
  • Ensure data quality, validation, and integrity across pipelines

Collaboration & Strategy

  • Partner with BI, analytics, and business teams to support enterprise reporting needs
  • Contribute to data standards, governance, and architectural best practices
  • Support the organization's transition to a modern, centralized data ecosystem
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