Join PatientPoint to be part of a dynamic team committed to
empower better health. As a leading digital health company, we
innovate to positively
impact patient behaviors. Our purpose-driven approach offers
an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.
Location: Cincinnati Metropolitan Area (Hybrid)
Hybrid Schedule: 2-3 days in office weekly (dependent on distance radius)
Travel Requirements: 3 to 5 times per year
Job Summary Step into a culture where data is embraced as an asset and everyone, from top executives to frontline team members, understands its importance in achieving strategic objectives. As a Data Analytics Engineer on our hybrid agile scrum team, your responsibilities will be end-to-end encompassing analysis, build, orchestration and automation, monitoring performance optimizations, data quality, solution accuracy and compliance throughout the lifecycle.
What You'll Do - Work closely with members of the DnA team to understand requirements and help build data solutions and efficient data pipelines primarily using our modern tool stack: Snowflake, Atlan, Fivetran and Astronomer.
- You will be expected to build PatientPoint information domain expertise and own data quality for the solutions and pipelines you create.
- Develop DAGs: accountability for testing and quality of our data pipelines using best practices for frequent releases.
- Participate in Code Reviews
- Develop and maintain Playbooks and Runbooks: including data dictionaries, data lineage, and data flow diagrams, ERDs providing clear visibility into the data ecosystem.
- Engage in all scrum activities including daily stand-ups.
What We Need - Bachelor's degree in Analytics, Business Technology , Informatics , Computer Science or related field
- Hands-on experience with SQL query and stored procedure
- Hands-on experience with Python
- Basic understanding of CI/CD principles, DevOps practices, data quality testing techniques
Desired Qualifications - Experience working with large data sets and streaming data.
- Experience with Snowflake
- Experience with Python, Airflow, GitHub and DAG construction, unstructured datasets .
- Exposure to industry standard BI tools like Power BI and Tableau
- Healthcare / Medical Devices domain experience will be an added advantage.
What You'll Need to Succeed - Solid work ethic embracing our core values of Integrity, Customer Focus, Innovation, Teamwork, and Coachability.
- Ability to learn quickly and pick up new skills/concepts.
- Stay current with emerging trends and technologies in data engineering and recommend improvements to existing systems.
- Proactive approach to your work, ability to work independently requiring minimal guidance to delivery on commitments, exceptional communication skills and a strong sense of accountability.
#LI-ED1 #LI-Hybrid
What We Offer: We know you bring your whole self to work every day. That is why we are committed to providing modernized benefits and cultural perks to our teammates. We offer competitive compensation, comprehensive and affordable benefits, flex time off to rest and charge, where applicable, a hybrid work model, mental & emotional wellness resources and coaching, 401K and more.
About PatientPoint: PatientPoint® is a leading digital health company that connects patients, healthcare providers and life sciences companies with the right information in the moments care decisions are made. Our solutions are proven to influence patient behavior and improve health outcomes, driving value for all stakeholders. Across the nation's largest network of connected digital devices in 35,000 physician offices, PatientPoint solutions empower better health for more than 750 million patient visits each year. Learn more at patientpoint.com.
PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V
Cincinnati, Ohio
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