Data Engineer II

GN Group
6d$115,000 - $130,000Hybrid

About The Position

The Data Engineer II will play a key role in building and sustaining a modern data platform powered by Snowflake. In this position, you’ll be responsible for developing reliable data pipelines, enhancing data quality, and supporting the migration from legacy systems to a scalable, cloud-based architecture. Your work will directly support our organization’s innovation. We’re looking for a proactive, hands-on professional who thrives working with diverse data sources and is eager to leverage modern technologies. If you are passionate about automation, CI/CD best practices, and emerging AI capabilities, you’ll find exciting opportunities to make an impact in this role.

Requirements

  • Minimum of 3–5 years of experience in data engineering or a related field
  • Strong SQL skills (ability to write, debug, and optimize complex queries)
  • Experience with Snowflake or similar cloud data warehouse technologies
  • Experience with ETL/ELT tools (Azure Data Factory, Fivetran, dbt, or similar)
  • Experience working with APIs and integrating multiple data sources
  • Familiarity with CI/CD practices, version control, and infrastructure-as-code (e.g., Git, Azure DevOps, Terraform)

Nice To Haves

  • Exposure to AI/ML concepts or interest in applying AI within data workflows

Responsibilities

  • Build and maintain data pipelines using tools such as Azure Data Factory, Fivetran, and APIs
  • Develop and optimize data transformations within Snowflake
  • Monitor pipeline performance and troubleshoot data issues across systems
  • Perform data validation to ensure accuracy and consistency across platforms
  • Investigate and resolve data discrepancies between source systems and downstream datasets
  • Contribute to improving deployment processes using CI/CD best practices and infrastructure-as-code tools (e.g., Terraform)
  • Collaborate with engineering and business teams to understand data needs and deliver solutions
  • Maintain clear documentation for pipelines, datasets, and workflows
  • Stay current with modern data tooling, including opportunities to incorporate AI-driven solutions where appropriate

Benefits

  • Competitive Pay: $115,000 - $130,000 per year, dependent on experience
  • Health & Wellness: Robust medical, dental, and vision coverage, plus a free membership to Cascade Athletic Club
  • Financial Security: 401(k) with a generous company match
  • Work-Life Balance: Generous PTO and paid company holidays
  • Life & Family Benefits: Paid parental and family leave, daycare Flexible Spending Account, and a hearing instrument benefit
  • Professional Growth: Education reimbursement to support ongoing learning
  • Additional perks and programs designed to support your well-being and success
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