Sr. Data Engineer - REMOTE

Jobgether
3dRemote

About The Position

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Data Engineer. The role is crucial for leading the design and optimization of cloud-based data platforms. You will have the opportunity to implement scalable and secure data solutions that are aligned with business strategies. Your expertise will guide architectural decisions and best practices. In addition, you will mentor a team of engineers, fostering a culture of excellence and innovation. This position is ideal for someone passionate about building robust data systems that can adapt and scale.

Requirements

  • 8+ years of hands-on experience with Snowflake.
  • 8 years of strong expertise in Azure cloud services.
  • Proficiency in SQL and Python.
  • Experience with MuleSoft for API-driven integrations.
  • Familiarity with CI/CD pipelines and infrastructure as code.
  • Strong understanding of data architecture and distributed systems.
  • Ability to work independently and take ownership of technical initiatives.
  • Demonstrated strength in problem-solving and navigating ambiguity.
  • Experience leading technical discussions and mentoring engineers.

Nice To Haves

  • Healthcare data experience is a plus.

Responsibilities

  • Serve as a technical expert for Snowflake and Azure, leading implementation efforts.
  • Develop and maintain API-driven integrations using MuleSoft.
  • Drive migration from on-prem SQL Server environments to Snowflake.
  • Implement engineering best practices, including CI/CD and infrastructure as code.
  • Troubleshoot complex data and platform issues, providing long-term solutions.
  • Collaborate with various teams to translate requirements into production-ready solutions.
  • Mentor and support data engineers through guidance and code reviews.
  • Optimize data models and compute usage for cost-efficient operations.
  • Partner with IT and security teams to ensure compliance and data quality.
  • Evaluate and introduce new tools and frameworks for the data platform.

Benefits

  • Competitive salary range with bonus incentives.
  • Medical, dental, and vision benefits.
  • 401(k) retirement savings plan.
  • Paid time off, including holidays and volunteer time.
  • Short-term and long-term disability coverage.
  • Life insurance and wellness programs.
  • Flexibility in working from home with appropriate remote work tools.
  • Support for internet expenses in select states.
  • Opportunities for professional development and training.
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