Sr Director Data Engineering

Healthcare's helping hand.

CHG shook things up in 1979 by inventing the locum tenens staffing model.

We connect doctors with patients who need their care.

As the largest physician staffing firm in America, our providers treat millions of patients each year.

Our industry is growing and demand is high.

This means you'll have plenty of opportunities to grow and develop in your career.

Keeping healthcare healthy can be as fun as it is rewarding

As a Sr Director of Data Engineering and Analytics within our organization, you will lead a multidisciplinary team encompassing data engineers, quality assurance specialists, and machine learning engineers.

Leveraging your expertise in tools such as Snowflake, dbt, and Fivetran, you will architect and oversee the development of robust data pipelines and analytics solutions.

Your role will be pivotal in driving the organization's data strategy, ensuring data integrity, and delivering actionable insights to support decision-making processes.

Responsibilities:

Team Leadership:


* Lead and inspire a diverse team of data engineers, quality assurance specialists, and machine learning engineers, fostering a collaborative and inclusive work environment.


* Provide strategic direction, set clear objectives, and empower team members to achieve their full potential.


* Establish performance metrics, conduct regular evaluations, and support the professional growth and development of team members.

Data Engineering and Pipeline Development:


* Architect, design, and implement scalable and efficient data pipelines using Snowflake, dbt, and Fivetran, ensuring the reliability and integrity of data across the organization.


* Collaborate with cross-functional teams to understand data requirements, define data models, and implement solutions to support analytical and operational needs.


* Continuously optimize and automate data processes to enhance performance, scalability, and cost-effectiveness.

Quality Assurance and Data Governance:


* Define and implement data quality standards, processes, and tools to ensure the accuracy, completeness, and consistency of data assets.


* Establish data governance policies and procedures, collaborating with internal stakeholders and compliance teams to ensure regulatory compliance and mitigate risks.

Machine Learning Engineering:


* Oversee the development and deployment of machine learning models and algorithms, working closely with machine learning engineers to drive innovation and deliver business value.


* Provide guidance on best practices for data preprocessing, feature engineering, model training, and evaluation, ensuring the quality and reliability of machine learning solutions.


* Collaboration and Communication:


* Cultivate strong partnerships with stakeholders across the organization, including data analysts, data scientists, product managers, and executives, to understand business requirements and deliver impactful soluti...