Homeoffice Cloud Data DevOps Engineer bei Visiting Nurse Service of New York d/b/a VNS Health
Visiting Nurse Service of New York d/b/a VNS Health · New York, Vereinigte Staaten Von Amerika · Remote
- Professional
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
