What are we looking for in our Senior Data Engineer?
Responsibilities
- 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).
Required Skills- 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