DataOps Engineer

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 Schedule: 2-3 days in office weekly (depended 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 Senior Data Operations (DataOps) Engineer on our hybrid agile scrum team, you will be responsible for managing and optimizing our data infrastructure.

You will focus on technologies such as Snowflake, Tableau, Astronomer, Fivetran, and Atlan: designing, monitoring and maintaining data pipelines and systems for efficient data processing. Your expertise in data operations and collaboration will be pivotal in driving our organization's data operations forward.

What You’ll Do 

• Snowflake Administration | Administer and maintain Snowflake data warehouse environments, including user management, security configurations, and performance tuning.
  • Monitor system health and optimize resource utilization to ensure high availability and scalability.
  • Troubleshoot issues and provide timely resolution to maintain uninterrupted data operations.
• Tableau Support | Manage Tableau Server installations, configurations, and upgrades to facilitate efficient data visualization and reporting.
  • Collaborate with stakeholders to understand reporting requirements and develop Tableau dashboards and visualizations accordingly.
  • Provide technical support and assistance to Tableau users, including troubleshooting and performance optimization.
• Data Integration and ELT | Implement and maintain ingest processes from various sources into Snowflake and other data platforms using Fivetran, Astronomer (airflow) and native Snowflake ingest features.
  • Ensure data integrity and accuracy through data validation and reconciliation procedures.
  • Optimize data integration workflows to enhance efficiency and reduce processing time.
• Data Governance and Compliance | Establish and enforce data governance policies and agreed upon best practices to ensure data quality, security, and compliance with regulatory requirements.
  • Monitor data usage and access permissions to maintain data privacy and confidentiality.
  • Collaborate with compliance teams to address data governance and regulatory compliance concerns.
• Documentation and Training| Document technical specifications, procedures and troubleshooting guides for data operations processes and systems.
• Provide training and support to end-users on data tools and platforms, empowering them to leverage data effectively in their roles.

What We Need

• Solid experience managing data operations projects from inception to completion, including planning, resource allocation, risk management, and stakeholder communication.
• Hands-on experience with Tableau Server administration and dashboard development.
• Solid understanding of data governance principles and compliance requirements.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Advanced expertise in managing and optimizing cloud-based data warehouse environments.
• Expert SQL skills for data manipulation, querying, and performance tuning.
• Proficiency in a variety of data operations tools, technologies, and platforms, including but not limited to:
  • 3+ years of experience with
    • Database Management and Storage (Snowflake, Microsoft SQL Server, MySQL Microsoft Blob)
    • CI/CD tool
    • SQL and Python
    • Data warehousing and integration tools (e.g., Fivetran, Apache Spark, Informatica)
  • Current experience with
    • applying troubleshooting techniques across various server, application, and network technologies (AWS, Azure, Redshift, Treasure Data, Google Cloud)
    • Data quality and governance frameworks
    • GitHub and Docker
    • setting up, tuning and monitoring of data applications
  • 2+ years of experience with
    • Terraform
    • 24/7 on-call support rotation
  • Experience with Data visualization tools (Tableau, Power BI) preferred