Job Description We are seeking a Data Engineer / Data Ops Specialist to join our growing data team. This role will focus on building scalable data models using DBT, automating data pipelines based on Pydantic data contracts, and integrating CI/CD workflows using GitHub Actions. The ideal candidate will have a strong background in Python, data modeling, and DevOps practices, and will also provide support to data engineering users across the organization. Responsibilities: Data Modeling & Transformation - Design and implement robust DBT models based on Pydantic data contracts. - Ensure data quality, consistency, and documentation across models and pipelines. Automation & CI/CD - Develop and maintain automated workflows using GitHub Actions for data pipeline deployment and validation. - Integrate data contracts into the Python codebase to drive dynamic DBT model generation. Data Engineering Support - Provide technical support and guidance to data engineers on tooling, best practices, and troubleshooting. - Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. Process Optimization - Identify opportunities to streamline data operations and improve pipeline efficiency. - Contribute to the development of internal tools and frameworks for data contract management. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 3+ years of experience in data engineering or data operations. Proficiency in Python, especially with Pydantic for data validation. Hands-on experience with DBT for data modeling. Familiarity with GitHub Actions or similar CI/CD tools. Strong understanding of data contracts and schema evolution. Experience working in cloud environments (e.g., AWS, GCP, Azure). Knowledge of SQL and modern data warehouses (e.g., Snowflake, BigQuery). Background in supporting data engineering teams or managing internal tooling. Familiarity with orchestration tools like Airflow or Prefect. null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.