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Azure Data Engineer Jobs in Kentucky (NOW HIRING)

$94K - $113K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions ...

$94K - $113K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions ...

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Write clean, efficient, and reusable code in SQL & Python for data transformation and automation ... Required Qualifications ยท 5+ years of experience in data engineering or a similar role. ยท ...

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Data Engineer (Remote)

Louisville, KY ยท On-site +1

$110K - $132K/yr

Build, maintain, and optimize data pipelines utilizing Azure Data Factory, ensuring data is ... Solid programming skills in advanced SQL, Python, or other programming languages for data ...

Data Engineer (Remote)

Louisville, KY ยท On-site +1

$104K - $125K/yr

Build, maintain, and optimize data pipelines utilizing Azure Data Factory, ensuring data is ... Solid programming skills in advanced SQL, Python, or other programming languages for data ...

Data Engineer (Remote)

Louisville, KY ยท On-site +1

$104K - $125K/yr

Build, maintain, and optimize data pipelines utilizing Azure Data Factory, ensuring data is ... Solid programming skills in advanced SQL, Python, or other programming languages for data ...

Data Engineer - Manager

Louisville, KY ยท On-site

$99K - $232K/yr

... Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment of scalable data solutions ...

... data engineering frameworks and cloud technologies. Lead the design and development of distributed data processing workflows using Databricks, PySpark, Azure SQL, and Azure Synapse. Develop data ...

New

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

... and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and ...

Data Engineer

Louisville, KY ยท On-site

$110K - $132K/yr

Job Title: Data Engineer FLSA Status: Exempt Department: Enterprise Data Analytics Hours of ... SQL Server, Snowflake, Databricks, Azure) * Experience with various visualization solutions (e.g.

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Azure Data Engineer information

See Kentucky salary details

$38.6K

$112.7K

$154.2K

How much do azure data engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for azure data engineer in Kentucky is $112,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $119,400.00 per year, depending on experience, location, and employer.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

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

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.
What are the most commonly searched types of Azure Data Engineer jobs in Kentucky? The most popular types of Azure Data Engineer jobs in Kentucky are:
What are popular job titles related to Azure Data Engineer jobs in Kentucky? For Azure Data Engineer jobs in Kentucky, the most frequently searched job titles are:
What cities in Kentucky are hiring for Azure Data Engineer jobs? Cities in Kentucky with the most Azure Data Engineer job openings:
Infographic showing various Azure Data Engineer job openings in Kentucky as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $112,662 per year, or $54.2 per hour.

Azure Data Engineer

Futran Tech Solutions Pvt. Ltd.

Louisville, KY โ€ข On-site

$104K - $125K/yr

Full-time

Posted 13 days ago


Job description

Role : Azure Data Engineer
Location : Louisville, KY ( Onsite from Day one )
Job Type : Full Time

Top Mandatory Skills:
7+ years of hands-on experience in Data Engineering
Azure Databricks/Azure Data Factory (primary skillset )
Azure Data Lake (secondary skillset)
Teradata
Nice to have:
Databricks Certification
Minimum Requirements:
โ€ข Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
โ€ข 7+ years of experience in software development (Agile, DevOps), designing, developing, and implementing large-scale applications or data engineering solutions.
โ€ข 7+ years of data analytics experience using SQL and working with data platforms like Teradata, Cassandra, MongoDB, Oracle, SQL Server, Snowflake, ADLS, and Azure Data Explorer.
โ€ข 7+ years of cloud development and data lake experience, primarily in Microsoft Azure (EventHub, Data Factory, Databricks, Blob Storage, Power BI, Azure Functions, etc.)