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Online Azure Databricks Jobs (NOW HIRING)

PEMCO

Databricks Architect

Seattle, WA · On-site

Own the Azure Databricks landing zone architecture: subscription and resource group strategy ... offline/online tests, latency/error SLOs, and cost controls. * Build LLMOps on the Lakehouse ...

Sogeti

Databricks Developer

New Brunswick, NJ · On-site

Design, develop, and maintain scalable data pipelines and ETL processes using Azure Databricks ... Career Planning & Coaching * $5,250 Tuition Reimbursement & 20,000+ Online Courses * Employee ...

Total Quality Logistics

Data Architect

Cincinnati, OH · On-site

$118K - $186K/yr

Define and maintain enterprise standards for Azure Databricks Lakehouse architecture * Lead the ... If you are unable to apply online due to a disability, contact recruiting at recruiting@tql.com

Salesforce

AI (GenAI) Engineer

Palo Alto, CA · On-site

Azure Databricks/Spark (Delta Lake, lakehouse patterns) * Azure Data Lake Storage / Blob Storage ... Implement evaluation and continuous monitoring: offline and online eval harnesses, golden sets ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

... Databricks. * Robust knowledge of cloud storage aspects (ADLS gen2) * Expertise in cloud security ... For immediate consideration, please apply online while viewing all open jobs at www.arcgonline.com.

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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.

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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:
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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.
Senior Data Engineer (Azure & Databricks)

Senior Data Engineer (Azure & Databricks)

Emergent Software

Bloomington, MN • On-site

$60 - $85/hr

Contractor

Posted yesterday

Job description

** This is a 6+ month contract with our client based out of Bloomington, MN. This is a hybrid role, working in office Tuesday/Thursday. Candidates must be able to work in the US without sponsorship.**
We're looking for a Senior Data Engineer with strong Azure experience, especially in Azure Databricks, Delta Lake, and SQL, to build and scale a medallion-based data platform. This role focuses on designing high-performance, governed data pipelines using PySpark, SQL, and Databricks tools to integrate data from Azure systems, SQL Server Managed Instance, and third-party sources, while partnering closely with analytics teams and business stakeholders. Experience or strong interest in supporting AI/ML use cases is highly valued, with financial-services experience considered a plus but not required.
Responsibilities
  • Design, develop, and optimize data pipelines in Azure Databricks using PySpark and SQL, applying Delta Lake and Unity Catalog best practices.
  • Build modular, reusable libraries and utilities within Databricks to accelerate development and standardize workflows.
  • Implement Medallion architecture (Bronze, Silver, Gold layers) for scalable, governed data zones.
  • Integrate external data sources via REST APIs, SFTP file delivery, and SQL Server Managed Instance, implementing validation, logging, and schema enforcement.
  • Utilize parameter-driven jobs and manage compute using Spark clusters and Databricks serverless.
  • Collaborate with data analytics teams and business stakeholders to understand requirements and deliver analytics-ready datasets.
  • Monitor and troubleshoot Azure Data Factory (ADF) pipelines (jobs, triggers, activities, data flows) to identify and resolve job failures and data issues.
  • Automate deployments and manage code using Azure DevOps for CI/CD, version control, and environment management.
  • Contribute to documentation, architectural design, and continuous improvement of data engineering best practices.
  • Support the design and readiness of the data platform for AI and machine learning initiatives.
Requirements
  • Strong expertise with Azure Databricks, including PySpark, Delta Lake, Unity Catalog, and the ability to build reusable libraries, utility notebooks, and parameterized jobs.
  • Advanced SQL skills with experience working in Azure SQL Database and/or SQL Server Managed Instance.
  • Experience designing, troubleshooting, and supporting data pipelines using Azure Data Factory.
  • Proven ability to integrate external data sources, including REST APIs and SFTP.
  • Working knowledge of Azure DevOps for CI/CD, version control, and parameterized deployments.
  • Demonstrated experience partnering closely with data analytics teams and business stakeholders, supported by strong communication, problem-solving, and collaboration skills.
  • Interest or experience in preparing data platforms to support AI and machine learning initiatives.
Nice to Haves
  • Experience implementing Medallion architecture within governed Azure data environments, including data governance and RBAC.
  • Familiarity with data warehousing concepts, dimensional modeling, and preparing datasets for BI tools such as Power BI.
  • Understanding of Spark performance optimization, cluster or serverless compute management, and advanced Delta Lake features.
  • Hands-on experience preparing datasets to support AI/ML use cases.
  • Prior experience in the financial-services industry.
Our Vetting Process
At Emergent Staffing, we work hard to find Data Engineers who are the right fit for our clients. Here are the steps of our vetting process for this position:
  • Application (5 minutes)
  • Online Assessment (40 minutes)
  • Initial Phone Interview (30-45 minutes)
  • Virtual Interview with Hiring team
  • Onsite Interview
  • Job Offer!

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