Cloud Data DevOps Engineer

What We Provide

• Referral bonus opportunities
• Generous paid time off (PTO), starting at 30 days of paid time off and 9 company holidays
• Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life and Disability
• Employer-matched retirement saving funds
• Personal and financial wellness programs
• Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care
• Generous tuition reimbursement for qualifying degrees
• Opportunities for professional growth and career advancement
• Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities

What You Will Do

• Design, build, and maintain scalable data pipelines for multi-tenant architectures.
• Build and manage subject matter data at scale across diverse business domains and use cases.
• Implement and optimize ETL/ELT processes using modern data stack technologies.
• Ensure data pipeline reliability, performance, and scalability across multiple single-tenant environments.
• Architect data solutions that can handle subject matter expertise data from various domains while maintaining isolation and performance.
• Automate deployment processes using Infrastructure as Code (IaC) principles.
• Implement and maintain CI/CD pipelines for data infrastructure and applications.
• Orchestrate and monitor Snowflake/Redshift resources using automation tools.
• Deploy and manage infrastructure across multiple single-tenant environments with consistent automation.
• Manage versioned products using mature DevOps/GitOps practices.
• Design and implement data architectures for multi-tenant and multiple single-tenant environments.
• Develop scalable patterns for subject matter data ingestion, processing, and storage.
• Implement comprehensive role-based access control (RBAC) systems.
• Ensure architectural consistency and data isolation across multiple single-tenant deployments.
• Design data models and schemas that accommodate diverse subject matter domains at enterprise scale.
• Implement data security best practices for large-scale data environments.
• Ensure compliance with data governance and regulatory requirements.
• Participates in special projects and performs other duties as assigned.

Licenses and Certifications:

• AWS, Azure or GCP cloud certification (Associate or Professional level) preferred

Education:

• Bachelor's Degree in Computer Science, Statistics, Informatics, Information Systems or a related field required
• Master's Degree preferred

Work Experience:

• Minimum of two years of data replication, data engineering, and data integration and transformation, or related experience, required
• Experience with Python as it relates to and support data workloads and applications (PySpark, Pandas, Data Frames, etc.) required
• Experience with engineering and administration of relational SQL databases, such as SQL Server, MySQL, Postgres, and Snowflake required (Data Integration, transformation, manipulation). required
• Experience in managing Role Based Access Control required
• Strong proficiency to write complex SQL to perform common types of data extraction and manipulation. required
• Experience with AWS cloud services such as EC2, RDS, S3 & Athena, lambda, and DynamoDB required
• Experience with data pipeline and workflow management tool like Airflow required, Databricks preferred
• Working knowledge in data modeling, Change Data Capture and Slowly Changing Dimensions, understating of various aspects of logical, conceptual and physical modeling of data warehouse projects preferred
• Working Experience with version controlling GitHub preferred
• Familiarity with healthcare datasets such as Members, Claims, Risk Adjustment preferred
• Familiarity with Snowflake DB (SnowSQL, Snowscripts & Snowpipe) preferred
• Prior DBA or Unix/Linux System Administrator experience required
• Strong shell scripting required
• Experience working with vendor technical support to address emergencies issues preferred