Job Description Insight Global is seeking a mid-level Cloud Data Engineer to join the Technology Risk Division of a prominent financial institution. This role is instrumental in orchestrating firmwide liquidity and risk metric calculations, ensuring the organization leverages the right data sets for accurate and strategic decision-making. As part of this team, you’ll be responsible for updating and optimizing data sources, enhancing the performance of large-scale datasets, and consolidating data currently stored across multiple platforms into Snowflake. Your work will directly support the firm’s mission to improve risk exposure strategies through robust, cloud-based data engineering. 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 - 7+ years of experience as a Data Engineer, working with large-scale data systems - 2 - 3 years of hands-on experience with Amazon Web Services (AWS) - Good understanding of Apache Airflow for scheduling and orchestration - Strong proficiency in Python for data engineering and workflow automation - Advanced skills in writing complex SQL queries, especially for data migration into Snowflake - Familiarity with the Software Development Life Cycle (SDLC) especially for python dominated ecosystems. - Excellent communication skills and ability to translate business needs into technical solutions - Prior experience with or interest in learning Slang Infrastructure, a proprietary programming language - Familiarity with Amazon MWAA (Managed Workflows for Apache Airflow) for cloud-based workflow orchestration and monitoring