

Tech Genius inc
Lead Snowflake Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Snowflake Data Engineer in Detroit, MI, with a contract length of unspecified duration and a pay rate of $70/hr C2C. Requires 10–13 years of data engineering experience, expertise in Snowflake, DataStage, dbt, and AWS services.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
August 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Michigan, United States
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🧠 - Skills detailed
#AWS (Amazon Web Services) #SQL (Structured Query Language) #Data Quality #Aurora RDS #Security #Data Modeling #DMS (Data Migration Service) #DynamoDB #DataStage #Leadership #PostgreSQL #Aurora #Scala #Data Engineering #Oracle #SQL Queries #dbt (data build tool) #Database Performance #Data Integration #RDS (Amazon Relational Database Service) #Snowflake #Data Architecture #"ETL (Extract #Transform #Load)"
Role description
Client: Ally Bank
Location: Detroit, MI – Local Candidates Only | Onsite
Rate: $70/hr C2C
Visa: H1B Only
Role Overview
We are seeking an experienced Data Engineer / Technical Lead with strong hands-on expertise in Snowflake, DataStage, and dbt (mandatory). The ideal candidate will have a strong background in data warehousing, data modeling, ETL/ELT, AWS data services, and customer-facing technical leadership.
Key Responsibilities
• Lead end-to-end data engineering and data warehousing projects using Snowflake, DataStage, and dbt.
• Design scalable data models, ETL/ELT pipelines, and Snowflake data architecture.
• Develop and optimize dbt models and transformations.
• Work with AWS services including Aurora, RDS, DMS, and DynamoDB.
• Develop and optimize SQL, PL/SQL, Oracle, and PostgreSQL queries.
• Implement CDC and real-time data integration solutions.
• Drive data quality, governance, security, and performance best practices.
• Gather requirements, handle CRs, and provide technical solution designs.
• Act as the bridge between business stakeholders and technical teams.
• Mentor junior engineers and provide technical guidance.
Mandatory Requirements
• 10–13 years of Data Engineering / Data Warehousing / Data Modeling experience.
• Expert-level Snowflake, DataStage, and dbt – Mandatory.
• Strong AWS data services experience: Aurora, RDS, DMS, DynamoDB.
• Strong Oracle, PL/SQL, SQL, and database performance optimization.
• Strong ETL/ELT, Data Integration, Data Architecture, and Dimensional Modeling experience.
• Experience with customer handling, requirement gathering, and solution design.
• Strong communication and technical leadership skills.
Client: Ally Bank
Location: Detroit, MI – Local Candidates Only | Onsite
Rate: $70/hr C2C
Visa: H1B Only
Role Overview
We are seeking an experienced Data Engineer / Technical Lead with strong hands-on expertise in Snowflake, DataStage, and dbt (mandatory). The ideal candidate will have a strong background in data warehousing, data modeling, ETL/ELT, AWS data services, and customer-facing technical leadership.
Key Responsibilities
• Lead end-to-end data engineering and data warehousing projects using Snowflake, DataStage, and dbt.
• Design scalable data models, ETL/ELT pipelines, and Snowflake data architecture.
• Develop and optimize dbt models and transformations.
• Work with AWS services including Aurora, RDS, DMS, and DynamoDB.
• Develop and optimize SQL, PL/SQL, Oracle, and PostgreSQL queries.
• Implement CDC and real-time data integration solutions.
• Drive data quality, governance, security, and performance best practices.
• Gather requirements, handle CRs, and provide technical solution designs.
• Act as the bridge between business stakeholders and technical teams.
• Mentor junior engineers and provide technical guidance.
Mandatory Requirements
• 10–13 years of Data Engineering / Data Warehousing / Data Modeling experience.
• Expert-level Snowflake, DataStage, and dbt – Mandatory.
• Strong AWS data services experience: Aurora, RDS, DMS, DynamoDB.
• Strong Oracle, PL/SQL, SQL, and database performance optimization.
• Strong ETL/ELT, Data Integration, Data Architecture, and Dimensional Modeling experience.
• Experience with customer handling, requirement gathering, and solution design.
• Strong communication and technical leadership skills.






