Exciting Career Opportunity at PatientPoint: Senior Data Analytics Engineer

Join our team at PatientPoint and be a pivotal player in crafting digital solutions that ensure better health outcomes across the nation. With a focus on leading-edge technology and a team-oriented approach, we're offering a career that poses both a professional challenge and a deeply rewarding experience. This role is based in the vibrant Cincinnati Metropolitan Area and features a flexible, hybrid work schedule.

Position Overview: Senior Data Analytics Engineer

As a Senior Data Analytics Engineer, you’ll immerse yourself into a culture where data impacts every decision across all tiers of our operation. Your role will cover a broad spectrum, involving tasks from designing to analyzing and automating data solutions. You’ll work within our hybrid agile scrum team setup, ensuring that your efforts in data solutions are both effective and aligned with strategic business objectives.

Key Responsibilities:

• Architecting comprehensive data solutions seamlessly integrating with our DnA Platform.
• Collaborating within the DnA team to understand project requirements fully using the scrum framework.
• Employing modern tools such as Snowflake, Atlan, Fivetran, Docker, AWS, and Astronomer (Airflow) to enhance data solution management.
• Leading the development, testing, and implementation of data pipelines.
• Mentoring team members and driving the integration of CI/CD principles in our operations.
• Developing and maintaining essential documentation like data dictionaries and flow diagrams.

What We Need:

• Bachelor’s degree in Informatics, Computer Science or similar fields.
• At least 5 years of experience in data engineering with extensive knowledge of cloud data warehousing and data pipeline construction.
• Expertise in SQL, Python, Airflow, and GitHub.
• Familiarity with CI/CD principles and a strong grasp of data security practices.

Desired Qualifications:

• Advanced experience with big data and real-time data processing.
• Experience with Snowflake, Kafka, and tools like Power BI and Tableau.
• Knowledge in healthcare or medical device sectors is advantageous.

What You'll Need to Succeed:

A successful candidate will demonstrate a robust work ethic, exceptional problem-solving abilities, and a dynamic approach to data engineering. Your ability to communicate effectively with both technical and non-technical team members will be crucial in delivering top-tier data solutions.

Why Join PatientPoint?

At PatientPoint, we value holistic employee wellbeing offering competitive salaries, comprehensive benefits, flexible time off, and resources focusing on mental and emotional health. Embrace the chance to impact health outcomes positively while advancing your career in a supportive and innovative environment.

About Us

PatientPoint® is a trailblazer in the digital health domain, enhancing patient care through technology-driven solutions. We pride ourselves on creating an environment that impacts millions of patients each year, ensuring high-quality and impactful patient engagements. Learn more about us at .

Become a catalyst in transforming the healthcare landscape. Apply today and propel your career to new heights as a Senior Data Analytics Engineer at PatientPoint.

We are an equal opportunity employer committed to diversity and inclusion in the workplace (EOE/M/F/D/V).