ZipRecruiter

Log In

1

Associate Data Engineer Jobs in Franklin, KY (NOW HIRING)

Lares IT Solutions Inc

AWS Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

AWS Certified Data Engineer - Associate * AWS Certified Solutions Architect * AWS Machine Learning Specialty * Experience with AI/ML model deployment using SageMaker or Bedrock Agents

New

Pwc

Data Engineer - Senior Manager

Nashville, TN

$124K - $280K/yr

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

Pwc

Data Strategy-Manager

Nashville, TN

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Governance- Manager

Nashville, TN

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Pwc

GenAI Python Systems Engineer-Manager

Nashville, TN · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Pwc

GenAI Python Systems Engineer-Director

Nashville, TN · On-site

$155K - $410K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

Pwc

Data Strategy & Governance -Director

Nashville, TN

$155K - $410K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating ...

Deloitte

Lead Forward Deployed Engineer - AWS

Nashville, TN · On-site

$99K - $130K/yr

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

Deloitte

Senior Forward Deployed Engineer- AWS

Nashville, TN · On-site

$100K - $138K/yr

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

Deloitte

Forward Deployed Engineer- AWS

Nashville, TN · On-site

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

next page

Showing results 1-20

All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Franklin, KY

Associate Data Engineer information

See Franklin, KY salary details

$8

$16

$26

How much do associate data engineer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for associate data engineer in Franklin, KY is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $17.40 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

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

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What cities near Franklin, KY are hiring for Associate Data Engineer jobs?

Cities near Franklin, KY with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you

AWS Data Engineer

Nashville, TN • On-site

Lares IT Solutions Inc
See more jobs at Lares IT Solutions Incexternal

$110K - $132K/yr

Other

Posted 2 days ago

New

Job description

Key Responsibilities

  • Design, build, and maintain scalable data pipelines on AWS using services such as S3, Glue, Lambda, Step Functions
  • Develop and optimize ETL/ELT workflows, ensuring high data quality, consistency, and availability across analytical and operational systems.
  • Work extensively with AWS ECS/ECR to containerize, orchestrate, and deploy data processing and ML/GenAI workloads.
  • Build secure and scalable APIs using API Gateway, Lambda, and container-based services for consumption by internal and external applications.
  • Architect and manage NoSQL workloads on DynamoDB, including partitions, performance tuning, and data modeling.
  • Implement secure authentication and authorization mechanisms using AWS Cognito.
  • Configure and manage Route 53, DNS routing, SSL certificates, and integrations for multi-service distributed systems.
  • Utilize CloudWatch Logs and Metrics for monitoring, troubleshooting, performance tuning, and building automated alerts.
  • Implement AWS Secrets Manager for secure credential and key management across the data ecosystem.
  • Design, manage, and optimize AWS OpenSearch clusters for indexing and querying structured and unstructured data.
  • Deploy and manage static websites using S3, CloudFront, Route 53, and related AWS services.
  • Integrate Generative AI capabilities into data workflows using Amazon Bedrock, AgentCore, custom LLMs, and embeddings.
  • Build RAG (Retrieval-Augmented Generation) pipelines leveraging vector databases (e.g., OpenSearch vector engine) to enhance AI-driven search and automation.
  • Develop data-driven solutions powering chatbots, summarization tools, document processing pipelines, and enterprise AI applications.
  • Collaborate closely with data scientists, ML engineers, and application developers to bring AI/ML and GenAI features into production.
  • Ensure compliance with data governance, security, CI/CD, and MLOps best practices across all environments.

Required Skills & Experience

  • 7–12 years of total IT experience, including strong hands-on experience as an AWS Data Engineer.
  • Expert-level proficiency with AWS services:
    • ECS, ECR
    • S3, Glue, Lambda, Step Functions
    • API Gateway, CloudFront
    • DynamoDB, Cognito
    • Route 53, CloudWatch
    • Secrets Manager
    • AWS OpenSearch (including vector search capabilities)
    • Solid experience designing and operating containerized workloads using Docker + ECS/Fargate.
  • Strong Python skills for building data pipelines, automation, and backend integrations.
  • Experience integrating and implementing Generative AI solutions using:
    • Amazon Bedrock, Bedrock AgentCore
    • LLM orchestration tools (LangChain, LlamaIndex)
    • RAG architectures
    • Embeddings and vector search
  • Deep understanding of data modeling, distributed systems, partitioning, performance optimization, and streaming/batch data processing.
  • Prior experience deploying and managing static web applications on AWS (S3 + CloudFront + Route 53).
  • Familiarity with CI/CD pipelines using CodePipeline, GitHub Actions, or Jenkins.
  • Strong understanding of IAM policies, roles, cross-account access, and cloud security best practices.
  • Excellent communication and cross-team collaboration skills.

Preferred Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field (Required)
  • Master’s degree in Data Engineering, Cloud Computing, or AI (Preferred)
  • AWS Certifications such as:
    • AWS Certified Data Engineer – Associate
    • AWS Certified Solutions Architect
    • AWS Machine Learning Specialty
  • Experience with AI/ML model deployment using SageMaker or Bedrock Agents

Apply