Senior Data Platform Engineer - Remote, Snowflake & Governance

Agence PROvidence; Helena (MT); Teletrabalho; USD 69 000 - 116 000; Tempo integral

Resumo da oferta

Providence is seeking an experienced Senior Data Engineer to advance the organization’s enterprise data platform, governance, and modernization initiatives. You will help define data standards, drive Snowflake maturity, and migrate legacy assets into a scalable, governed data ecosystem supporting analytics, AI, and data products.

The role combines technical delivery with data strategy, collaborating across teams to strengthen architecture, engineering standards, and operating models in a

Qualificações

• Bachelor's degree in computer science, Business Management, Information Services, or an equivalent combination of education and experience.
• Extensive experience with object-oriented programming in C#, Java, Python or equivalent.
• Experience with source code control systems such as Git.
• SQL integration development experience with SQL/NoSQL.
• Experience with Agile software development methodologies and tools such as Azure Devops, TFS, and Jira.
• Proven track record of working both independently and collaboratively as a part of a multi-disciplinary team.
• Experience designing and successfully implementing a large project.
• Experience in a healthcare setting.

Responsabilidades

• Define data standards and governance for the enterprise.
• Drive Snowflake platform maturity and data migration.
• Collaborate with analytics teams to deliver data products.

Conhecimentos

C#/Java/Python

Git

SQL/NoSQL

Azure DevOps/Jira

Teamwork

Formação académica

Bachelor's degree in CS/Info Systems

Ferramentas

Git

Azure DevOps

Jira

Descrição da oferta de emprego

Providence is seeking an experienced Senior Data Engineer to advance the organization’s enterprise data platform, governance, and modernization initiatives. You will help define data standards, drive Snowflake maturity, and migrate legacy assets into a scalable, governed data ecosystem supporting analytics, AI, and data products.

The role combines technical delivery with data strategy, collaborating across teams to strengthen architecture, engineering standards, and operating models in a