Job Title: Senior Data Engineer Location: Hybrid – Phoenix, AZ / Raleigh, NC (4 days per week) Experience Level: 10–15 Years Employment Type: 12+ Month Contract Payrate- $75 to 90/hr Job Overview: We are seeking a highly experienced Senior Data Engineer to join our growing data team. The ideal candidate will have 10–15 years of experience in data engineering with a strong focus on Python, SQL, Snowflake, and DBT. This role requires a deep understanding of building robust, scalable data pipelines in a cloud-based, modern data stack environment. Key Responsibilities: Design, build, and maintain scalable and reliable data pipelines to support analytics, reporting, and data science initiatives. Develop and optimize DBT (Data Build Tool) models for efficient data transformation and data lineage. Work with Snowflake to design schemas, optimize queries, and manage cloud-based data warehouses. Write efficient, reusable, and testable Python and SQL code for ETL/ELT processes. Collaborate with cross-functional teams including data analysts, scientists, and business stakeholders to understand data needs and deliver effective solutions. Ensure data quality, consistency, and integrity across all data platforms. Implement data governance and best practices for security, privacy, and compliance. Troubleshoot and debug production issues in data workflows and pipelines. Required Skills & Qualifications: 10–15 years of hands-on experience in data engineering roles. Strong experience in DBT such as Snowflake and building modular SQL-based transformation models. Proven expertise in Snowflake data warehouse architecture and management. Advanced proficiency in Python and SQL for data processing. Experience with modern data pipeline and orchestration tools. Solid understanding of data modeling, performance tuning, and best practices in cloud data engineering Familiarity with CI/CD processes and version control tools like Git. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Preferred Qualifications: Experience with tools such as Airflow, Fivetran, or Cloud Composer. Familiarity with cloud platforms such as AWS, GCP, or Azure. Experience in financial, healthcare, or retail data environments (optional). Excellent communication and documentation skills.