Snowflake/Python Data Engineer

Responsibilities Kforce's client in Plano, TX that is seeking a highly skilled Snowflake/Python Data Engineer to design, develop, and maintain scalable data solutions that support analytics, reporting, and business intelligence initiatives. The ideal candidate will have strong expertise in Snowflake, Python, cloud-based data platforms, ETL/ELT development, and data integration. This role will partner closely with business stakeholders, data analysts, architects, and engineering teams to deliver high-quality data pipelines and optimize data performance. Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using Python and Snowflake
• Build and support ETL/ELT processes for ingesting, transforming, and loading data from multiple sources
• Develop data models, schemas, and solutions to support reporting, analytics, and machine learning initiatives
• Optimize Snowflake performance through query tuning, clustering, partitioning, and warehouse management
• Integrate data from APIs, databases, cloud platforms, and third-party applications
• Implement data quality checks, validation processes, and monitoring solutions
• Collaborate with business and technical teams to gather requirements and translate them into technical solutions
• Support data governance, security, compliance, and access control standards
• Troubleshoot production issues and perform root cause analysis to ensure data reliability
• Document technical designs, workflows, and data architecture standards
• Participate in code reviews and promote engineering best practices

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
• 5+ years of experience in Data Engineering or related roles
• Strong hands-on experience with Snowflake Data Cloud
• Advanced proficiency in Python development
• Experience building ETL/ELT frameworks and automating data workflows
• Strong SQL skills with experience optimizing complex queries
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Knowledge of data warehousing concepts and dimensional modeling
• Experience working with large-scale structured and unstructured datasets
• Familiarity with version control systems such as Git
• Excellent problem-solving and communication skills

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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