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Azure Data Bricks Engineer Jobs in Ohio (NOW HIRING)

Prohires

SENIOR DATA BRICKS DEVELOPER (W2)

Columbus, OH · On-site

SENIOR DATA BRICKS DEVELOPER INTERIVEW: TELEPHONIC & WEBCAM ROLE: SENIOR DATA BRICKS DEVELOPER OVERALL EXPEREINCE We are seeking an experienced Databricks Developer to design, develop, and optimize ...

Syntricate Technologies

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Data Engineer Location: Cincinnati, OH Fulltime only * 7+ plus years of experience in solutioning ... using Azure Data Factory, Data bricks, Data Ingestion, Data Transformation /Computation ...

Navtech, Inc.

Azure Data Architect

Cleveland, OH · On-site

$58.75 - $76.50/hr

Expertise in Advanced Analytics including Azure Data Bricks, visualization tools as PowerBI preferred. Please submit profiles along with competitive rates to me asap and I can arrange for customer ...

Georgia IT Inc

Sr,Azure data engineer

Columbus, OH · On-site

$51.50 - $63.75/hr

Sr Azure Data Engineer Location: Columbus, OH (Local candidates ONLY - In-Person Interview) Contract U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to ...

InterSources

Azure Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Azure Data Engineer Location: Cincinnati,OH (Hybrid) Duration : 6 Months Only (C2H) Drop Resumes to jorden@blueoriginit.com Exp :13+ Key Responsibilities Experience in Data modeling and advanced SQL ...

campus4tech

Azure Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

This is a W2 role Short We need a strong Azure Data Engineer with expertise in Databricks, including Unity Catalog experience), strong Pyspark and understanding of CI/CD and Infrastructure as Code ...

campus4tech

Azure Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

This is a W2 role Short We need a strong Azure Data Engineer with expertise in Databricks, including Unity Catalog experience), strong Pyspark and understanding of CI/CD and Infrastructure as Code ...

Apidel Technologies

Data Engineer Level 2

Blue Ash, OH · On-site

$105K - $126K/yr

Top 3 Skills: azure data bricks, python, and spark Soft Skills Needed: problem solving, attention ... do peer programing throughout the day. Very Important Details Work Location must be local ...

ClifyX

Azure Data Engineer (Python & AI/ML)

Cincinnati, OH · On-site

$109K - $132K/yr

Job Title Required Skills & Qualifications * 10+ years of experience in Data Engineering / Data Platforms * Strong hands-on experience with Microsoft Azure data services: * Azure Data Factory (ADF)

InterSources

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Advance Data Engineer We are seeking a highly skilled Advanced Data Engineer with a strong ... Implement data integration solutions using Azure Data Factory and manage data storage in Azure ...

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Azure Data Bricks Engineer information

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.

What are popular job titles related to Azure Data Bricks Engineer jobs in Ohio? For Azure Data Bricks Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Azure Data Bricks Engineer jobs in Ohio look for? The top searched job categories for Azure Data Bricks Engineer jobs in Ohio are:
What cities in Ohio are hiring for Azure Data Bricks Engineer jobs? Cities in Ohio with the most Azure Data Bricks Engineer job openings:
Azure Data Bricks Engineer jobs near you

SENIOR DATA BRICKS DEVELOPER (W2)

Prohires

Columbus, OH • On-site

Other

Posted 5 days ago

Job description

SENIOR DATA BRICKS DEVELOPER 
INTERIVEW: TELEPHONIC & WEBCAM  
ROLE: SENIOR DATA BRICKS DEVELOPER  
OVERALL EXPEREINCE 
We are seeking an experienced Databricks Developer to design, develop, and optimize large-scale data processing solutions for a financial services project. The ideal candidate will have strong expertise in Databricks, Apache Spark, cloud-based data platforms, and financial data processing. This role involves building scalable data pipelines, supporting analytics initiatives, ensuring data quality, and enabling regulatory and business reporting across financial systems. Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines using Databricks and Apache Spark. Develop and optimize data ingestion frameworks for structured, semi-structured, and streaming data. Build and maintain data lakes and lakehouse architectures using Databricks. Implement Delta Lake solutions for data reliability, governance, and performance optimization. Collaborate with business analysts, data architects, and finance stakeholders to understand data requirements. Integrate data from trading platforms, market data feeds, risk systems, accounting platforms, and regulatory reporting systems. Develop reusable notebooks, workflows, and automation processes. Monitor, troubleshoot, and optimize Spark jobs for performance and scalability. Implement data quality, lineage, security, and governance controls. Support regulatory reporting, risk management, compliance, and financial analytics initiatives. Participate in code reviews, testing, deployment, and production support activities.       Required Technical Skills Strong experience with Databricks and Apache Spark (PySpark/Scala Spark). Proficiency in Python, SQL, and Spark optimization techniques. Experience with Delta Lake, Databricks Workflows, Unity Catalog, and Delta Live Tables. Strong understanding of data warehousing concepts and dimensional modeling. Experience with cloud platforms such as: Amazon Web Services (AWS)
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