KPG99 INC

LEAD SNOWFLAKE DATA ENGINEER

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Snowflake Data Engineer on a 6-month contract-to-hire basis in Downtown Minneapolis, MN. It requires 7+ years of data engineering experience, 5–10 years with Snowflake, strong SQL skills, and cloud platform expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 19, 2025
🕒 - 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
Minneapolis, MN
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🧠 - Skills detailed
#Cloud #Databases #Scala #Visualization #Data Lakehouse #Data Ingestion #Java #Data Modeling #Big Data #Scripting #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #AWS (Amazon Web Services) #Snowflake #ML (Machine Learning) #Data Engineering #Automation #Python #Data Lake #Programming #Storage #Data Security #Security #Data Storage #Azure
Role description
Job Title: Lead Snowflake Data Engineer Employment Type: 6-month Contract-to-Hire Work Arrangement: On-site (4 days/week) Location: Downtown Minneapolis, MN (Local candidates only) Eligibility: U.S. Citizen or Green Card holders only Experience Level: 7+ years Role Overview We are seeking a Lead Snowflake Data Engineer to design, build, and optimize modern cloud-based data platforms. This role requires deep hands-on expertise with Snowflake, strong SQL skills, cloud data engineering experience, and the ability to lead and mentor a team of data engineers. Required Qualifications • 7+ years of experience in data engineering or related roles • 5–10 years of hands-on experience with Snowflake • Strong proficiency in SQL, including complex query development and stored procedures • Experience with automation and scripting (e.g., Python, Shell, or similar) • Hands-on experience with data ingestion and transformation frameworks • Strong understanding of Snowflake architecture, including storage, compute, security, and infrastructure • Proven experience with Snowflake troubleshooting and performance tuning • Experience with cloud platforms such as AWS and/or Azure • Solid understanding of Cloud Data Lakehouse architectural patterns • Experience leading, mentoring, and providing technical direction to data engineering teams • Proven ability to work closely with business partners to develop and manage data domains Preferred / Additional Skills Experience in one or more of the following areas is highly desirable: • Programming languages (e.g., Python, Java, Scala) • Relational and non-relational databases • ETL / ELT tools and frameworks • Data storage solutions (on-premises and cloud-based) • Big data technologies • Machine learning or advanced analytics • Data modeling and data visualization tools • Cloud computing and data security best practices