Job Summary:
We are looking for a highly skilled Senior Data Engineering Manager to lead our data & analytics engineering team. As a key member of our data organization, you will collaborate with cross-functional teams to ensure alignment with our overall data strategy. Your expertise in cloud and open-source technologies will be essential in managing and integrating technologies to drive business goals.
Key Responsibilities:
* Lead and inspire a team of data & analytics engineers, fostering a positive and productive work environment.
* Manage and integrate technologies across cloud and open-source platforms, including Snowflake, Redshift, dbt, Airflow, NiFi, and Databricks.
* Collaborate with cross-functional teams to ensure alignment with the company's data strategy.
* Oversee projects focused on data generated during care delivery, ensuring timely and efficient delivery of data solutions.
* Ensure data is cleaned, processed, harmonized, and curated in alignment with industry standards.
Requirements:
* 10+ years of relevant experience with a Bachelor's degree in Data Science, Health Informatics, Computer Science, or a related field.
* 3 years management experience, including experience in a matrix environment.
* Experience in technologies such as Python, dbt, Airflow, and SQL.
What We Offer:
* Competitive pay.
* Generous employee discount.
* Physical and mental well-being support.