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
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 Senior Data Engineer on our hybrid agile scrum team, your responsibilities will be end-to-end encompassing design, analysis, build, orchestration and automation, monitoring performance optimizations, data quality, solution accuracy and compliance throughout the lifecycle.
What You’ll Do
- Responsible for architecting end-to-end data solutions that meet our business partners' expectations and integrate into our Data Platform.
- Engage with the Data team using scrum framework to comprehensively grasp requirements for each deliverable.
- Accountable to follow Data team’s best practices in solution design, build, orchestration and automation, data ingest, monitoring performance optimizations, data quality, solution accuracy and compliance throughout the lifecycle.
- Leverage a modern tool stack including Snowflake, Atlan, Fivetran, Docker, AWS, and Astronomer (Airflow) to cultivate an environment where analysts and data engineers can autonomously enact changes in an automated, thoroughly tested and high-quality manner.
- Analyze the impact of changes to downstream systems/products and recommend alternatives to minimize the impact.
- Build a deep knowledge in each PatientPoint data information domain.
- Responsible for testing and release process for data pipelines using best practices for frequent releases.
- Participate in Code Reviews
- Mentor and support Data team members new to integrating the modern stack.
- Partner to deliver a data model that aligns with DevOps principles, ensuring and standards for continuous integration/ continuous delivery (CI/CD) processes.
- Develop and maintain data documentation, including data dictionaries, data lineage, and data flow diagrams, best practices and data recovery processes to provide clear visibility into the data ecosystem.
What We Need
- 5+ years of experience working on cloud data warehouses and data pipelines with a focus on data engineering, building scalable, sustainable and secure data platforms powering intelligent applications.
- 3+ years of hands-on experience with Snowflake.
- 2+ years of hands-on experience in working with dbt
- Bachelor's degree in Informatics, Business Technology, Analytics, Computer Science or a related field.
- Advanced experience in a Data Engineering and ELT Engineering role.
- Expert-level proficiency in SQL query and stored procedure development.
- Competent with Python, Airflow, GitHub and DAG construction.
- Experience with unstructured datasets and ability to handle Parquet, JSON, AVRO and XML file formats.
- Strong understanding of CI/CD principles, DevOps practices, software testing and quality
- Hands-on Experience with cloud-based orchestration tools such as Apache Airflow Astronomer.
- Advanced experience implementing data quality initiatives, monitoring, and auditing.
Desired Qualifications
- Advanced experience working with large data sets and streaming data.
- Basic experience with various patterns of data ingestion, processing, and curation along with various streaming data concepts, such as Kafka.
- Intermediate experience protecting PPI or PHI data during the ELT process, data security and data access controls and design.
- Prior experience as a tech-lead or team lead.
- Exposure to industry standard BI tools like Power BI and Looker.
- 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.
- Expert problem-solving skills and attention to detail with the ability to learn quickly to pick up new skills/concepts.
- Critical thinking and passion for business strategy and building reusable objects.
- 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 deliver on commitments, exceptional the ability to communicate ideas clearly with cross-functional teams and a strong sense of accountability.
- Comfortable presenting complex, technical topics in an actionable manner to technical and non-technical team members within our organization.
- Comfortable with delivering end-to-end solutions in an ever-changing environment.
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.
Latest News & Innovations:
- Named A Best Place to Work Across Multiple Prestigious Platforms! Read More
- Featured on Built In's article "Companies That Pay Well". Read More
- Now Culture Content Certified by VentureFizz. Read More
What We Offer:
We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates.
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
