Enter a job title or keyword
Lead Data Engineer
Job Location:
Job Location:
Charlotte, VT - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
8 September 2026 (13 hours ago)
Posted:
Application Deadline:
6 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: Lead Data Engineer
Location: Charlotte NC 28202 (Onsite)
Duration: 12 Months
Interview Process (Is face to face required): Yes (2nd round)
Job Details:
Must Have Skills
Strong experience in AWS services ( hands-on experience) Data engineering skills (Glue ECS Data pipeline etc.) primarily serverless databases storage services container services schedulers and batch services.
Experience in Snowflake and Data Build Tool.
Expertise in DBT NodeJS and Python.
Expertise in Informatica Power BI DataStage Database Cognos.
Knowledge on AI
AWS services AI skills Build AI agents Gen AI
Gitlab CI/CD pipeline
Detailed Job Description
Strong experience in AWS services AWS services ( hands-on experience) - Data engineering skills (Glue ECS Data pipeline etc.) primarily serverless databases storage services container services schedulers and batch services.
Experience in Snowflake and Data Build Tool.
Expertise in DBT NodeJS and Python.
Expertise in Informatica Power BI DataStage Database Cognos.
Knowledge on AI
AI skills Build AI agents Gen AI
Gitlab CI/CD pipeline
Should have good mix of Data engineering and AI work.
Proven experience in leading teams across locations.
Knowledge of DevOps processes Infrastructure as Code and their purpose.
Good understanding of data warehouses their purpose and implementation.
Minimum years of experience
8-10 years
Top 3 responsibilities:
Should have good expertise in delivery coordination Should be able to manage complex software application development and support projects
Should be able to manage offshore resources also.
Should be able to work with other onsite team members and client Good communication skills.
Location: Charlotte NC 28202 (Onsite)
Duration: 12 Months
Interview Process (Is face to face required): Yes (2nd round)
Job Details:
Must Have Skills
Strong experience in AWS services ( hands-on experience) Data engineering skills (Glue ECS Data pipeline etc.) primarily serverless databases storage services container services schedulers and batch services.
Experience in Snowflake and Data Build Tool.
Expertise in DBT NodeJS and Python.
Expertise in Informatica Power BI DataStage Database Cognos.
Knowledge on AI
AWS services AI skills Build AI agents Gen AI
Gitlab CI/CD pipeline
Detailed Job Description
Strong experience in AWS services AWS services ( hands-on experience) - Data engineering skills (Glue ECS Data pipeline etc.) primarily serverless databases storage services container services schedulers and batch services.
Experience in Snowflake and Data Build Tool.
Expertise in DBT NodeJS and Python.
Expertise in Informatica Power BI DataStage Database Cognos.
Knowledge on AI
AI skills Build AI agents Gen AI
Gitlab CI/CD pipeline
Should have good mix of Data engineering and AI work.
Proven experience in leading teams across locations.
Knowledge of DevOps processes Infrastructure as Code and their purpose.
Good understanding of data warehouses their purpose and implementation.
Minimum years of experience
8-10 years
Top 3 responsibilities:
Should have good expertise in delivery coordination Should be able to manage complex software application development and support projects
Should be able to manage offshore resources also.
Should be able to work with other onsite team members and client Good communication skills.
Required Experience:
Senior IC
