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Azure Data Bricks Engineer Jobs (NOW HIRING)

Purple Drive

Azure Data Bricks Developer

Louisville, KY · On-site

$52.75 - $65.50/hr

Azure Data Bricks Developer Location: LOUISVILLE, KY Key Responsibilities: * Design, develop, and maintain scalable data pipelines using Azure Databricks and Apache Spark * Integrate data from ...

Programmers.io

Data Bricks engineer

Louisville, KY · On-site

$110K - $132K/yr

Role Description: Data Bricks engineer with Experience in AEP integrations Essential Skills: Data Bricks engineer with Experience in AEP integrations Desirable Skills: Not listed Keywords: Not listed ...

Embtel Inc

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

Azure Data Bricks Consultant Location: Fort Worth, TX - (3 days onsite and 2 days remote) Duration ... Implement data migration and data engineering solutions using Azure products and services: (Azure ...

talentmovers inc

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Bricks, Azure Data Factory. · Build simple to complex pipelines, activities, Datasets & data flows · Utilize Azure compute services [Databricks, Data Lake Store, PySpark, Apache Spark, Synapse ...

Futran Tech Solutions Pvt. Ltd.

Azure Data Bricks Developer

$56.25 - $69.75/hr

Data Engineer (Sr) Location: Louisville, Kentucky-USA, Remote. The Senior Data Engineer will be ... Build Azure Data Lake leveraging Databricks technology to consolidate all data across the company ...

Keylent Inc

Azure Data Engineer

Riverside, NJ · On-site

$115K - $138K/yr

Azure Data Engineer Location: Delran, NJ Duration: 12 months * 6+ years of total experience as a ... Experience of the following core Azure data components Data Bricks, Data Factory, * Should have ...

S3 Staffing USA

Data Bricks Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Data Bricks Data Engineer Location: Seattle, WA / Bellevue, WA / Everett, WA / Renton, WA ... Strong working knowledge of core Azure services: Storage Account, Synapse, Key Vault, VMSS ...

Kasmo Global

Azure Data Engineer

Dallas, TX · On-site

$54.75 - $67.75/hr

Azure Data Engineer Location: Dallas, TX Job Type: Contract Note: F2F interview is Mandatory This ... Senior level experience with data bricks and other analytics tools for moving and transforming data ...

Datamaxis

Senior Azure Data Engineer

$117K - $140K/yr

Senior Azure Data Engineer We are seeking a Senior Azure Data Engineer to help design, build, and ... Data Bricks and/or Microsoft Fabric Data Factory. * Implement medallion architecture (Bronze ...

Ecom Industries

Azure Data Engineer (Remote)

$117K - $140K/yr

Data bricks (optional if they have Spark or another language) * Synapse/SQL Datawarehouse ... Azure Data Engineer Notes: 3 Total Positions (End Client - Energy) Completely remote (CST) 3 Data ...

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Azure Data Bricks Engineer information

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How much do azure data bricks engineer jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for azure data bricks engineer 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.

How does an Azure Data Bricks Engineer typically collaborate with data scientists and business analysts within a project team?

Azure Data Bricks Engineers often work closely with data scientists and business analysts to design, build, and optimize scalable data pipelines and analytics solutions. They enable seamless data access, integrate various data sources, and ensure efficient data processing, which allows data scientists to focus on modeling and analysis. Regular collaboration involves participating in sprint planning, code reviews, and troubleshooting sessions to ensure the data infrastructure aligns with business requirements. Clear communication and cross-functional teamwork are essential for successful project delivery.

What are the key skills and qualifications needed to thrive as an Azure Data Bricks Engineer, and why are they important?

To thrive as an Azure Data Bricks Engineer, you need a strong background in data engineering, distributed computing, and proficiency with languages like Python, SQL, and Scala, usually supported by a relevant degree or certification. Familiarity with Azure Data Bricks, Azure Data Lake, Spark, and integration with other Azure services is essential, as is knowledge of cloud security and DevOps practices. Strong problem-solving skills, attention to detail, and effective communication enable successful collaboration with cross-functional teams and stakeholders. These skills are vital for building scalable, reliable data solutions that drive business insights and value in cloud-based environments.

Is Databricks Data Engineer in demand?

Azure Data Bricks Engineers are in high demand due to the increasing adoption of cloud-based data analytics and the need for scalable data processing solutions. Skills in Spark, Python, and cloud platforms like Azure are highly valued, and job growth in this field is expected to continue as organizations prioritize data-driven decision-making.

Is Azure Databricks in demand?

Azure Data Bricks engineers are in high demand due to the platform's widespread adoption for big data analytics and machine learning projects. Skills in Spark, Python, and cloud integration increase employability, and many organizations seek professionals with experience in Azure cloud services and data engineering. The role offers strong job growth prospects as data-driven decision-making becomes a priority across industries.

What is an Azure Databricks Engineer?

An Azure Databricks Engineer is an IT professional who specializes in designing, developing, and maintaining data analytics solutions using Azure Databricks, a cloud-based Apache Spark platform provided by Microsoft Azure. They build data pipelines, integrate data from various sources, and enable advanced analytics and machine learning tasks. Their responsibilities often include optimizing performance, ensuring data security, and collaborating with data scientists and business analysts to deliver insights.

How much do Databricks engineers make?

Azure Data Bricks engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in Spark, Python, or cloud architecture can command higher salaries. Compensation often includes benefits such as bonuses and stock options in larger organizations.

What engineers make $500,000?

Senior engineers in high-demand fields such as software, data engineering, and cloud engineering can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. Roles like Principal Data Engineers or Cloud Architects working with platforms like Azure Data Bricks often reach this compensation level, particularly in large organizations or with performance bonuses and stock options.

What is the difference between Azure Data Bricks Engineer vs Data Engineer?

AspectAzure Data Bricks EngineerData Engineer
Required CredentialsAzure certifications, SQL, SparkGeneral data management, SQL, Python, cloud certifications
Work EnvironmentAzure cloud platform, Data Bricks environmentVarious cloud platforms or on-premises data systems
Employer & Industry UsageTech, finance, healthcare using Azure cloudBroad industry, including tech, finance, retail
Common Search & ComparisonFocus on Azure Data Bricks-specific skillsBroader data pipeline and database management skills

Azure Data Bricks Engineers specialize in building data solutions on the Azure platform using Data Bricks, while Data Engineers have a broader role managing data pipelines across various platforms. Both roles require SQL and cloud knowledge, but Azure Data Bricks Engineers focus more on Spark and Azure-specific tools.

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Azure Data Bricks Engineer jobs near you

Azure Data Bricks Developer

Purple Drive

Louisville, KY • On-site

$52.75 - $65.50/hr

Other

Posted 3 days ago

Job description

Overview:
Role: Azure Data Bricks Developer
Location: LOUISVILLE, KY
Key Responsibilities:
  • Design, develop, and maintain scalable data pipelines using Azure Databricks and Apache Spark
  • Integrate data from various sources including Azure Data Lake, Azure Blob Storage, SQL Server, and external APIs
  • Implement ETL/ELT processes to support data ingestion, transformation, and loading
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements
  • Optimize data workflows for performance and cost-efficiency
  • Ensure data quality, integrity, and security across all pipelines
  • Monitor and troubleshoot data pipeline issues in production environments
  • Document data flow processes and maintain technical documentation

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