Job Description

• Create scalable and secure data pipelines enabling the ingestion, transformation, and transfer of large quantities of structured and unstructured data from various databases and sources.
• Build complex database logic and APIs to automatically fetch and store data in various forms.
• Architect and develop efficient and reusable modularized components that drive complex applications.
• Implement data quality, security, and governance standards and best practices across different cloud environments.
• Design and build the integration between data management tools.
• Design, develop, and maintain data solutions across different cloud platforms, such as AWS or Google Cloud.
• Ensure the secure movement and storage of PHI, PII, and PCI data.
• Scale up or increase application resiliency and assure code meets required performance standards.
• Collaborate with data analysts, data scientists, and IT operations to build tools transforming data for a new generation of data and AI products.
• Provide technical leadership for development projects and offer consultation and guidance to other team members.
• Provide innovative solutions when presented with complex business or production issues.
• Employ modern DevSecOps practices and tools.
• Utilize Agile methodologies and tools (i.e. Jira, Scrum, Kanban).

• Experience creating scalable and secure data pipelines for the ingestion, transformation, and transfer of large quantities of structured and unstructured data from various databases and sources.
• Proficiency in building complex database logic and APIs for automated data fetching and storage.
• Extensive experience with programming languages (Python or related), ETL tools, and their administration, as well as relational and non-relational databases.
• Expertise in architecting and developing efficient and reusable modularized components.
• Knowledge of data quality, security, and governance standards and best practices across different cloud environments.
• Competence in designing and building integrations between data management tools.
• Proficiency in developing and maintaining data solutions across different cloud platforms, such as AWS or Google Cloud.
• Thorough understanding of data structures, algorithms, software architecture, and the design, detailed testing, and documentation of complex systems.
• Experience with the secure movement and storage of PHI, PII, and PCI data.
• Ability to scale up applications, increase resiliency, and ensure code meets performance standards.
• Experience working and collaborating with data analysts, data scientists, and IT operations.
• Technical leadership experience in development projects, providing consultation and guidance.
• Innovative problem-solving skills for complex business or production issues.
• Familiarity with modern DevSecOps practices and tools.
• Experience with Agile methodologies and tools (i.e. Jira, Scrum, Kanban).

Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors.

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Rate/Salary: $65-70/hr

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