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Day Azure Databricks Jobs (NOW HIRING)

campus4tech

Azure Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Cincinnati, OH (3 days' on-site required) Note: Relocation will work for this role. Candidate have ... This is a W2 role Short We need a strong Azure Data Engineer with expertise in Databricks ...

Amerihealth Caritas

Azure Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Core offcie days are Tuesday, Wednesday, and Thursday. Responsibilities * Architecture & Implementation: Design and implement scalable engineering solutions using Azure Data Factory, Azure Databricks ...

Amerihealth Caritas

Azure Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Core offcie days are Tuesday, Wednesday, and Thursday. Responsibilities * Architecture & Implementation: Design and implement scalable engineering solutions using Azure Data Factory, Azure Databricks ...

Buaut

BI Developer

Lebanon, IN · On-site

Lebanon, Indiana (Onsite-5 days a week at client location) Experience: 5-7 Years Visa: Any (Which ... The ideal candidate should have strong hands-on experience with Azure Databricks, Microsoft Fabric ...

New

United Airlines

Azure Databricks Lead

Atlanta, GA

Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave * Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) * Retirement ...

SmartIPlace

QA/SDET (Azure Databricks)

Cincinnati, OH · On-site

$55 - $60/hr

Hands-on experience with data lake validation, Databricks automation, and reporting tool testing ... be ready to contribute from day one. Next Steps: Please share profiles along with their ...

Zurich Insurance Group

Data Engineer - Databricks

NM · Remote

$117K - $140K/yr

Collaborate with Azure, IT, and DevOps teams to implement CI/CD and DataOps best practices ... day. Our 53,000 employees worldwide form the basis of our success, enabling, businesses and ...

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All JobsDay Azure Databricks Jobs

Day Azure Databricks information

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How much do day azure databricks jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for day 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 Day Azure Databricks vs Data Engineer?

AspectDay Azure DatabricksData Engineer
Primary FocusDeveloping and managing data workflows using Azure Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsAzure certifications, Spark, SQL, Python, data analyticsSQL, ETL tools, cloud platforms, programming languages like Python or Java
Work EnvironmentCloud-based, collaborative data platform within Azure ecosystemVaries; cloud, on-premises, or hybrid environments

Day Azure Databricks specialists focus on leveraging the Azure platform for data processing, while Data Engineers build and maintain the data infrastructure across various environments. Both roles require strong technical skills, but their scope and tools differ, with Day Azure Databricks centered on the Databricks platform and Data Engineers on broader data pipeline development.

More about Day Azure Databricks jobs
What cities are hiring for Day Azure Databricks jobs? Cities with the most Day 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 Day Azure Databricks jobs? States with the most job openings for Day Azure Databricks jobs include:
What job categories do people searching Day Azure Databricks jobs look for? The top searched job categories for Day Azure Databricks jobs are:
Day Azure Databricks jobs near you
Infographic showing various Day Azure Databricks job openings in the United States as of July 2026, with employment types broken down into 9% Locum Tenens, 84% Full Time, 1% Part Time, 5% Contract, and 1% Summer. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Azure Data Engineer - ADF, Data bricks, AAS and SQL

TestingXperts Inc. DBA Damcosoft

Pleasanton, CA • On-site

$127K - $153K/yr

Contractor

Posted 2 days ago

Job description

Hello,

My name is Sreeja and I represent TestingXperts Inc. TestingXperts is a Specialist QA & Software Testing Company, and an Independent Software Testing division of Damco Group, which is a leading IT Solutions and Services company working with Fortune Enterprises globally. Inheriting the virtues of job quality and optimal user satisfaction from Damco Group, TestingXperts aims at promoting the ethics of connected innovation, thereby seeding the integral values in our employees and achieving unmatched contentment in our clients. To know more about Testingxperts Inc., please visit our website www.testingxperts.com.

If you are interested in the opportunity listed below, please forward your updated resume along with current contact information, or perhaps you can recommend someone who would be interested in this position

W2 Only

Job title: Azure Data Engineer

Location: Pleasanton, California ( Work from office all 5 days in a week )

Mandatory Skills

Azure Databricks (ADB), Azure Data Factory (ADF), Azure Analysis Service (AAS), SQL

JD

Job Summary
We are seeking a skilled Azure Data Engineer with strong hands-on expertise in Azure Databricks (ADB), Azure Data Factory (ADF), and SQL. The ideal candidate will design and build scalable data pipelines and transformations on the Azure platform, with solid experience in Spark (PySpark), the Databricks Lakehouse, and ETL/ELT orchestration. Exposure to Delta Lake, data modeling, and CI/CD for data workloads is a plus.
Key Responsibilities
• Design, develop, and maintain data pipelines using Azure Databricks (PySpark/Spark SQL) and Delta Lake.
• Build and orchestrate ETL/ELT workflows in Azure Data Factory, including linked services, datasets, and triggers.
• Write and optimize complex SQL for data transformation, aggregation, and performance tuning.
• Collaborate with cross-functional teams to deliver reliable, high-quality data solutions.
• Implement data quality checks, monitoring, and follow engineering best practices.
• Work in an Agile environment and contribute to sprint planning and retrospectives.
Skill Requirements
• Databricks: Strong proficiency in Azure Databricks, PySpark, Spark SQL, and notebook development.
• Data Integration: Hands-on experience with Azure Data Factory (pipelines, mapping data flows, triggers).
• Database: Expert-level SQL (mandatory) with T-SQL/Spark SQL; query optimization and stored procedures.
• Storage & Format: Experience with Delta Lake, Parquet, and Azure Data Lake Storage (ADLS Gen2).
• Data Modeling: Understanding of dimensional modeling and data warehousing concepts.
• Version Control: Git/Azure Repos or similar tools.
• CI/CD: Familiarity with Azure DevOps pipelines for data deployments.
• Cloud: Working knowledge of the broader Azure ecosystem (Key Vault, Synapse is a plus).