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# Senior Lead Data Engineer

- **Company:** Diverse Lynx LLC
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $135,200.0 - $145,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Cloud Computing, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Visualization, Data Warehousing, Document-Oriented Databases, Python (Programming Language), Lex (Software), Machine Learning, NoSQL, Systems Development Life Cycle, Software Engineering, SQL Databases, Data Ingestion, AI Platforms, Data Management, Data Pipelines, Programming Languages
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-lead-data-engineer-atlanta-ga--879274b7-1edd-493b-8451-30e6e1793976

## About the Role

Software Engineering, Data Management, Cloud Computing, Artificial Intelligence (AI), Amazon Web Services (AWS), Scalable System Development, Machine Learning, Cross-Functional, Data Quality, Quality Assurance Methodology, * Strong expertise in AWS AI Services, including but not limited to SageMaker, Rekognition, Comprehend, and Lex.

 * Proficiency in data modeling, ETL processes, and data warehousing solutions.
 * Experience with programming languages such as Python, Java, or Scala.
 * Solid understanding of SQL and NoSQL databases.
 * Familiarity with data visualization tools and techniques.
 * Knowledge of data governance and security best practices.

## Description

We are seeking a highly skilled and motivated Senior Lead Data Engineer to join our dynamic team. The ideal candidate will possess extensive knowledge of AWS AI Services and will be responsible for designing, building, and maintaining scalable data pipelines and architectures. This role requires a strong understanding of data engineering principles, cloud technologies, and a passion for leveraging AI to drive business insights., * Design and implement robust data pipelines to support data ingestion, transformation, and storage.

 * Utilize AWS AI Services to develop and deploy machine learning models and AI solutions.
 * Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
 * Monitor and Eligible to workimize data workflows for performance and reliability.
 * Ensure data quality and integrity through rigorous testing and validation processes.
 * Provide technical leadership and mentorship to junior data engineers.
 * Stay updated with the latest trends and advancements in data engineering and AI technologies.
 * Document data architecture, processes, and best practices for future reference.