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Aws Data Engineer Jobs in Kentucky (NOW HIRING)

$110 - $160/hr

Design AWS data engineering components including Lambda, S3, and database integrations. * Build and operate data pipelines that integrate AWS systems with Snowflake. * Implement Snowflake AI ...

New

$120 - $180/hr

Track new AWS data technologies and judge their impact on the systems we run. What are we looking for? * Bachelor's degree in Computer Science, Engineering, or a related field. * 3+ years of ...

$113 - $188/hr

Ability to Obtain Public Trust We are seeking an AWS Lakehouse Data Engineer to design, implement, and operate the cloud-native data platform that powers AI/ML, analytics, reporting, and data ...

New

$120 - $180/hr

AWS Key Responsibilities * Design, build, and maintain scalable data pipelines to ingest, process, and transform large-scale datasets from multiple sources. * Develop and optimize distributed data ...

$125 - $135/hr

Data Engineer Lead AIG | Data Office · Data EngineeringAbout The Role The Data Engineer Lead is a ... Responsibilities Design, build, and operate production‑grade PySpark and Python pipelines on AWS ...

New

$110 - $150/hr

We specialize in Salesforce implementations, enterprise modernization, AWS cloud-native solutions ... Data Engineers buildand operate the multi-source ingestion pipelines that consolidate client'son ...

$130 - $180/hr

The team brings together experienced data leaders and engineers from across IPH and beyond to ... Solid experience with AWS data services and ELT/ETL workflows. * Proficiency in CI/CD, Git, and ...

$110 - $114/hr

Senior Cloud Data Engineer Client: Commonwealth of MA (EOHHS) Location: Quincy, MA (Hybrid ... This includes creating a consolidated Enterprise Data Platform on modern cloud tools (including AWS ...

$120 - $180/hr

Advanced Data Engineering and Solution Design (80%) * Architect and implement scalable data ... Implement data lineage, metadata management, and auditability practices using tools like AWS Glue ...

$80 - $106/hr

Design and implement scalable ETL solutions using AWS Glue * Collaborate with data engineers and analysts to understand data requirements * Develop and manage data extraction transformation and ...

$90 - $150/hr

AWS Certified Data Analytics - Specialty. * Microsoft Certified: Azure Data Engineer Associate. * ESRI ArcGIS Developer Certification. Required Education and Experience Equivalency * Bachelor ...

New

$78 - $176/hr

Experience with data warehousing using AWS Redshift, MySQL, or Snowflake* Experience with Agile engineering practices* Bachelor's degree in a Data or IT-related field* Security+ Certification*

$65 - $130/hr

... AWS, GCP, and Snowflake. Key Responsibilities: * Build, maintain, and monitor batch and ... Engineering Practices: Distributed Data Processing, Agile/Scrum Frameworks, ERP Data Integration ...

New

$150 - $190/hr

Partner with Product Architects, AWS Architects, and engineering teams to address cross-functional data architecture requirements. * Enable analytics, reporting, and AI/ML initiatives through well ...

New

$115 - $130/hr

The Role As a Data Engineer at theGuarantors, you will play a vital role in the development ... Knowledge of data warehousing concepts and technologies (e.g., Snowflake, AWS Redshift, Google ...

$140 - $200/hr

About the Role AWS-Based ETL Pipeline - Deep Data Engineering - Infrastructure Performance - Data Analytics This is a hybrid data engineering and analytics role, not a pure pipeline-building position.

$110 - $140/hr

The Data Engineer will design, implement, and manage scalable data pipelines, databases, and ... Experience with cloud platforms (AWS, Azure, or GCP). Preferred Skills: * Knowledge of distributed ...

New

$180 - $240/hr

We are looking for a Principal AWS Data Platform & ML Ops Architect to join our growing team! ABOUT ... Engineers. KEY RESPONSIBILITIES: Architect and Build the Shared Platform #J-18808-Ljbffr

$90 - $140/hr

Mentor junior engineers and foster a culture of collaboration and technical excellence within the ... Knowledge of cloud-based platforms (AWS, Google Cloud, Azure) and associated data services.

$115 - $150/hr

Lead Data Engineer must have prior hands-on experience developing and delivering data solutions with AWS and/or Oracle technologies. * Strong knowledge working with data from financial and ...

New

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Aws Data Engineer information

See Kentucky salary details

$38.6K

$112.7K

$154.2K

How much do aws data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for aws 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 an AWS data engineer?

AWS Data Engineers are professionals who design, build, and maintain data pipelines and architectures on Amazon Web Services (AWS). They work with large datasets, using AWS services such as Amazon S3, Redshift, Glue, and EMR to collect, transform, and store data for analytics or business intelligence. Their responsibilities often include ensuring data reliability, scalability, and security while optimizing data workflows and integrating various cloud-based tools. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making. They typically have strong skills in programming, cloud infrastructure, and database management.

What are the key skills and qualifications needed to thrive as an AWS data engineer?

To thrive as an AWS Data Engineer, you need strong skills in data modeling, ETL processes, SQL, and a solid understanding of AWS services, typically supported by a degree in computer science or a related field. Familiarity with AWS tools like Redshift, Glue, S3, Lambda, and certifications such as AWS Certified Data Analytics are highly beneficial. Problem-solving abilities, effective communication, and adaptability are crucial soft skills for collaborating with teams and managing complex data projects. Mastery of these skills ensures efficient data pipeline development, reliable data solutions, and the ability to support business intelligence in a cloud environment.

What are some common challenges AWS data engineers face when managing large-scale data pipelines?

AWS Data Engineers often encounter challenges related to optimizing data pipelines for scalability and cost efficiency. Managing data ingestion from diverse sources, ensuring data quality, and handling real-time data processing can be complex at scale. Additionally, they must regularly monitor and troubleshoot pipeline failures, integrate new AWS services, and collaborate closely with data scientists, analysts, and DevOps teams to ensure data accessibility and security. Proactively addressing these challenges is vital for maintaining reliable and efficient data workflows.

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

AspectAws Data EngineerData Analyst
Required CredentialsAWS certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes basic programming
Work EnvironmentCloud platforms, big data environments, data pipelinesBusiness intelligence tools, spreadsheets, reporting dashboards
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSMarketing, finance, healthcare, and other industries analyzing data

While both roles work with data, Aws Data Engineers focus on building and maintaining data pipelines in cloud environments using AWS tools, whereas Data Analysts interpret data to generate insights and reports. The roles often complement each other in data-driven organizations.

Is AWS Data Engineer in demand?

AWS Data Engineers are in high demand due to the increasing adoption of cloud data platforms and the need for scalable data processing solutions. Skills in AWS services like S3, Redshift, and Glue, along with data modeling and ETL expertise, are highly sought after by employers across various industries.

What does an AWS Data Engineer do?

An AWS Data Engineer designs, builds, and maintains data pipelines and infrastructure on Amazon Web Services. They work with tools like AWS Glue, Redshift, S3, and Lambda to process and analyze large datasets, ensuring data quality and security. Strong programming skills and knowledge of cloud architecture are essential for this role.

What is the salary of AWS Data Engineer?

The average salary for an AWS Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as AWS Certified Data Analytics. Senior roles or those with specialized skills in cloud architecture may earn higher salaries.

What are the most commonly searched types of Aws Data Engineer jobs in Kentucky?

The most popular types of Aws Data Engineer jobs in Kentucky are:

What are popular job titles related to Aws Data Engineer jobs in Kentucky?

For Aws Data Engineer jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Aws Data Engineer jobs?

Cities in Kentucky with the most Aws Data Engineer job openings:

Infographic showing various Aws Data Engineer job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 7% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $112,662 per year, or $54.2 per hour.

$110 - $160/hr

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Job description

Description
  • Design AWS data engineering components including Lambda, S3, and database integrations.
  • Build and operate data pipelines that integrate AWS systems with Snowflake.
  • Implement Snowflake AI components, including Cortex, Cortex Code, and AI functions.
  • Own the design and implementation of data marts, data warehouses, and data lakes.
  • Develop data models and define end-to-end process flows for data integration.
  • Produce initial architecture drafts independently for architectural review.
  • Collaborate with architects and stakeholders to refine designs and align with project goals.
  • Deliver senior-level data engineering solutions and hand off work to operational teams.
Requirements
  • 6-9 years of hands-on experience in data engineering.
  • Hands-on experience with AWS Lambda.
  • Hands-on experience with AWS S3.
  • Hands-on experience with databases and related AWS services.
  • Hands-on experience with Snowflake, including Cortex, Cortex Code, and AI functions.
  • Strong fundamentals in data marts, data warehouses, data lake design, data modeling, and process flow.
  • Ability to produce initial architecture drafts independently for architectural review.
  • Senior-level data engineering experience; application or app development experience is not the target profile.
  • Engagement length of 6 months or less.
  • Ability to work in CST time zone.
Benefits
  • Client holiday calendar.
  • Nearshore delivery model focused on cost efficiency.
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