Lead Cloud Data Engineer (Remote)

Job Description We are looking for a lead data engineer highly collaborative and comfortable with ambiguity and change in a fast-paced environment to partner closely with various teams to design, build and maintain data systems and applications. Must be a self-starter and highly organized with strong problem-solving and learning skills to work with various teams analyze and design data storage structures and build performant automated data pipelines that are reliable and scalable in a fast growing data ecosystem. Leverage strong understanding of data modeling principles and modern data platforms to properly design and implement data pipeline solutions. Experience using analytic SQL, working with traditional relational databases and/or distributed systems such as AWS S3, Hadoop / Hive, Redshift. Provide production support and adhering to the defined SLA(s). Strong technical skills and demonstrated ability to be detail-oriented. Good understanding of data security, compliance, and policies in healthcare services. Demonstrated ability to test and validate according to industry best practices and to communicate effectively with peers in technology teams. Strong interpersonal, written, and oral communication skills with ability to work with all levels of the organization. Prior experience in the healthcare industry is a plus. 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 learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements u2022 Healthcare Experience (3+ years within clinical workflows, EPIC is a huge plus) u2003u2022 10+ years of hands-on: data warehouse design/architecture with AWS, Data Vault 2. u2003u2022 Extensive Snowflake experience u2003u2022 Advanced proficiency in SQL and Python u2003u2022 Exp with large-scale data warehousing and analytics projects, including using AWS and GCP technologies. u2003u2022 Terraform u2003u2022 Airflow u2003u2022 Gitlab and Gitlab CI/CD Pipelines u2003u2022 Master or Bachelor Degree : u2003u2022 Helpful to have Dimensional Modeling, Orchestration tools like Airflow, Control-M, containerization of applications (Docker & Kubernetes) Cloud Formation and Terraformu2014AWS Services (S3, AWS Glue, Athena, Lake formation, DynamoDB, DMS, RDS, etc) Agile methodology and DevOps process, modern data Integrations tools (DBT, Informatica Power Center, AWS Glue or similar) preferred 3+ years(s) of data modeling and familiarity with AI/ML and BI tools, a plus. u2003u2022 EPIC certifications such as Cogito, Caboodle, Clarity, etc. DBT Cloud experience

Created: 2025-11-24