Lucet is a leader in behavioral health, dedicated to helping people live healthy, balanced lives. Our purpose is to advocate for and improve the overall well-being of those we serve through balanced treatment of the mind and body. We serve more than 15 million people across the United States, and we value the contributions of every team member as we work toward meaningful impact.
Lucet is a leader in behavioral health, dedicated to helping people live healthy, balanced lives. Our purpose is to advocate for and improve the overall well-being of those we serve through balanced treatment of the mind and body. We serve more than 15 million people across the United States, and we value the contributions of every team member as we work toward meaningful impact.
What You Will Do The Data Analytics Engineer designs, develops, and supports cloud and on‑premises data warehouse solutions that enable reporting, business intelligence, and analytics. This role builds and automates data pipelines, data marts, and data lake integrations using Snowflake, SQL Server, AWS, Python, Airflow, and DBT, while ensuring data quality, performance, and reliability. You will collaborate across teams to deliver scalable data solutions and support the organization's long‑term data strategy through Agile development and continuous improvement practices.
Data Warehousing & Analytics Develop, maintain, and optimize cloud and on‑premises data platforms using Snowflake and Microsoft SQL Server, ensuring reliable, high‑performing data warehouse, mart, and lake solutions. Build and support analytics‑ready datasets for reporting and business intelligence, troubleshooting and improving data platform performance, reliability, and accessibility.
Data Engineering & Automation Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using Airflow, DBT Core, Airbyte, SSIS, SQL, Python, and Snowflake technologies to support data integration, automation, and analytics. Supp
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What You Will Do The Data Analytics Engineer designs, develops, and supports cloud and on‑premises data warehouse solutions that enable reporting, business intelligence, and analytics. This role builds and automates data pipelines, data marts, and data lake integrations using Snowflake, SQL Server, AWS, Python, Airflow, and DBT, while ensuring data quality, performance, and reliability. You will collaborate across teams to deliver scalable data solutions and support the organization's long‑term data strategy through Agile development and continuous improvement practices.
Data Warehousing & Analytics Develop, maintain, and optimize cloud and on‑premises data platforms using Snowflake and Microsoft SQL Server, ensuring reliable, high‑performing data warehouse, mart, and lake solutions. Build and support analytics‑ready datasets for reporting and business intelligence, troubleshooting and improving data platform performance, reliability, and accessibility.
Data Engineering & Automation Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using Airflow, DBT Core, Airbyte, SSIS, SQL, Python, and Snowflake technologies to support data integration, automation, and analytics. Supp
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Based on: Data Analytics Engineer
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