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: Remote (Employees must reside in and be authorized to work from locations within the Eastern or Central Time Zones)

Travel Requirements: Less than 5%

Job Summary
PatientPoint is seeking a highly skilled and experienced Manager of Data and DevOps Engineers to lead our team. In this role, you will be responsible for overseeing the development, implementation, and maintenance of scalable data infrastructure and pipelines along with playing an active role in the professional growth of your team. The ideal candidate will have a strong technical background in Data and DevOps engineering and is willing to roll up their sleeves and work within the team.

What You’ll Do

Lead and mentor a team of data and DevOps engineers fostering a culture of growth and excellence.
Define and execute the technical roadmap for data infrastructure and DevOps practices.
Build and scale a high-performing team of data engineers to enhance data pipelines, develop new data sources, refine existing datasets, and improve data models as PatientPoint's products evolve.
Conduct regular performance evaluations, establish individual objectives, and deliver constructive feedback to support professional development.
Drive team and organizational growth by actively participating in the recruitment and onboarding of top-tier data engineering talent.
Collaborate with peers, leadership and stakeholders to define project scope, objectives, and deliverables that align with organizational goals.
Develop and monitor project timelines, ensuring milestones are achieved and deliverables are met on schedule. Partner with cross-functional teams to ensure seamless integration of data solutions across the organization.
Work closely with peers, Data Modeler, QA team in maintaining scalable, reliable, and high-performance data pipelines.
Own and maintain CI/CD framework along with pipelines for data and application deployments.
Act as the subject matter expert for the organization's data platform and pipelines, contributing to their development and strategic direction.
Oversee the creation of automated data quality assurance processes and operational support strategies to maintain data reliability.

What We Need

7+ years of experience in data/DevOps engineering positions
3+ years in a managerial or team leadership role developing data infrastructure and technology systems.
Experience in Managing cloud data warehousing platforms (Snowflake, Google BigQuery) and ensuring cost efficiency.
Prior experience in Implementing security best practices for data storage, processing, and access control.
Significant experience with modern software development practices, including CI/CD, automated testing, and cloud-native architecture.
Experience in engineering large-scale enterprise applications end-to-end, with a focus on Data Engineering and Insights.
Proven ability to evaluate the current technology stack and advocate for strategic enhancements to optimize value delivery to the business.
Experience with working with modern data architecture as well as data transformation tooling.
Experience with Snowflake or Google Big Query required
Ensure high system availability and quick resolution of incidents.

Desired Qualifications

BA/BS in Computer Science, Computer Engineering, Information Technology, Management Information Systems, Software Engineering, Software Development, Data Engineering or related field
Experience with collaboration tools (Teams, Slack, Jira, Confluence)
Prior experience in designing and Implementing Snowflake Rules Based Architecture (RBAC)
Experience in managing SOWs and vendor contracts.
Experience with dbt is preferred.
Experience with Data Management and Data quality concepts
Experience with Terraform 
Expertise in common programming/code languages, Orchestration and tooling, such as SQL, Python, Airflow, etc.

What You'll Need to Succeed

Strong project management skills, with a track record of delivering complex projects on time and within scope.
Strategic problem-solving with a focus on aligning data engineering initiatives with business objectives and effectively addressing complex challenges.
Ability to work in fast paced environment while managing shifting priorities.
A proven track record of managing teams, and excellent communication and leadership skills.

Base Salary Band: $105,000.00 - $183,000.00

Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint’s total compensation package for employees. For additional details on our total benefits package, please review the section “About PatientPoint” at the end of this job description.

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