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Azure Data Engineer Jobs in Kentucky (NOW HIRING)

Bespoke Labs

Data Engineer

Louisville, KY · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Covington, KY · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Frankfort, KY · On-site

$99K - $119K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Bowling Green, KY · On-site

$112K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Staffingine LLC

Azure Architect

Erlanger, KY · On-site

$62.50 - $81.50/hr

... Data Gateway * Knowledge on overall Azure Services other than integration * Hands on experience in XSLT and liquid templates * Proven experience as a NET Developer with Azure and Net Core * Handson ...

Medvantx Inc

Sr. Data, Reporting Analyst

Louisville, KY · On-site

$78K - $99K/yr

... Data Engineers and Database Administrators. * Create and maintain data models, report datasets ... Experience working with Azure SQL, Azure Data Factory, or cloud-based data platforms is preferred.

Korbel

$106K - $127K/yr

As the Lead AI & Data Engineer, this role offers the opportunity to accelerate our digital transformation by building a trusted, scalable cloud data foundation essential for analytics, reporting ...

Sumeru Solutions

Sr Azure Integration Engineer

Erlanger, KY · On-site

$54.25 - $67.25/hr

Experience working in a Dev/Ops environment with Continuous Integration and Deployment via Azure DevOps. * Familiarity with CosmosDB would be very useful. * Prepare documentation for the integration ...

Damco Solutions

BI Developer

Erlanger, KY · On-site

... across our Microsoft data stack (SQL Server, Azure, Fabric, Power BI). • Must operate ... Programming Interfaces) via standard libraries or equivalent • Excel Macros and Power Query • ...

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Showing results 21-40

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Kentucky

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 Aug 10, 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?

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 is an Azure Data Engineer?

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.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.
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 job categories do people searching Azure Data Engineer jobs in Kentucky look for? The top searched job categories for Azure Data Engineer jobs in Kentucky are:
What cities in Kentucky are hiring for Azure Data Engineer jobs? Cities in Kentucky with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Kentucky as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,662 per year, or $54.2 per hour.

Data Engineer

Bespoke Labs

Louisville, KY • On-site

$110K - $132K/yr

Full-time

Re-posted 24 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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