

Lead Data Engineer
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Simple Solutions, is seeking the following. Apply via Dice today!
Lead Data Engineer
100% Remote
Long-term contract role
We are looking for a Lead Data Engineer with strong Python, SQL, and DBT expertise to build and optimize data pipelines for large-scale data repositories. The ideal candidate will develop, transform, and manage data workflows to support business intelligence and analytics.
Key Responsibilities:
• Analyze, optimize, and refactor existing SQL queries and logic.
• Thoroughly document business rules, data transformations, and workflows.
• Collaborate with stakeholders to understand and formalize data requirements.
• Ensure accuracy and consistency across data documentation and processes.
Requirements:
• Extensive SQL experience (query optimization, debugging, performance tuning).
• Strong ability to document complex business rules and data workflows.
• Experience working with large datasets and relational databases.
• Familiarity with DBT and Python is a plus but not required.
• This role is ideal for someone who excels in making sense of complex data logic and translating it into clear documentation.
• We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Simple Solutions, is seeking the following. Apply via Dice today!
Lead Data Engineer
100% Remote
Long-term contract role
We are looking for a Lead Data Engineer with strong Python, SQL, and DBT expertise to build and optimize data pipelines for large-scale data repositories. The ideal candidate will develop, transform, and manage data workflows to support business intelligence and analytics.
Key Responsibilities:
• Analyze, optimize, and refactor existing SQL queries and logic.
• Thoroughly document business rules, data transformations, and workflows.
• Collaborate with stakeholders to understand and formalize data requirements.
• Ensure accuracy and consistency across data documentation and processes.
Requirements:
• Extensive SQL experience (query optimization, debugging, performance tuning).
• Strong ability to document complex business rules and data workflows.
• Experience working with large datasets and relational databases.
• Familiarity with DBT and Python is a plus but not required.
• This role is ideal for someone who excels in making sense of complex data logic and translating it into clear documentation.
• We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication.