Snowflake SQL Python Data Engineer 100%Remote Contract to Hire

Zeektek; United States; Remote; USD 83,000 - 138,000; Full time

Job summary

Zeektek is seeking a Snowflake SQL Python Data Engineer for a 6-12+ month contract to hire. The role is 100% remote across the United States, offering hands-on work with Snowflake, SQL, Python, and data pipelines.

Day-to-day, you will design, develop, test, and support Snowflake data pipelines and curated data solutions. You will troubleshoot, optimize performance, and participate in data modernization while leveraging AI tools to improve efficiency.

Qualifications

• Hands-on Snowflake data solutions development and optimization.
• Advanced SQL skills for data transformation, complex queries, troubleshooting and performance tuning.
• Experience building and automating scalable data pipelines using Python and modern data engineering practices.

Responsibilities

• Design, develop, test, and support Snowflake data pipelines and curated data solutions with production support and troubleshooting.
• Work on data modernization initiatives, automation, data quality, and migration of workloads to Snowflake.
• Collaborate with the team to promote ownership, knowledge sharing, and AI-assisted development tools.

Skills

Advanced SQL

Python

ETL

Tools

Snowflake

Job description

We have a 6-12+ month contract to hire position open for a Snowflake SQL Python Data Engineer. The role is 100% remote and the candidate anywhere in the US.

Top 3:

• Snowflake – hands on experience developing and optimizing data solutions in Snowflake.
• SQL – advanced SQL skills for data transformation, complex queries, troubleshooting and performance tuning
• Python & Data Engineering/ETL – experience building and automating scalable data pipelines using Pytho and modern data engineering practices

The team is a collaborative, delivery-focused data engineering team supporting Snowflake modernization, data pipeline development, and governed data solutions. The environment promotes ownership, knowledge sharing, automation, and practical use of AI tools to improve engineering efficiency.

Day to day, this role will design, develop, test, and support Snowflake data pipelines and curated data solutions, including troubleshooting, performance optimization, and production support. The engineer will work closely with the team on our data modernization initiatives, automation, data quality, and migration of existing workloads to Snowflake, while using AI tools to improve development efficiency.

This role provides hands-on experience with modern data engineering technologies, including Snowflake, SQL, Python, data pipelines, automation, and AI-assisted development tools. It offers an opportunity to work on large-scale data modernization initiatives, with potential for conversion to a full-time role based on performance and business needs.