Snowflake Data Engineer Jobs

About The Position

Requirements

• Bachelor’s or Master’s degree in Computer Science or a related technical field.
• 7 to 8 years of experience in the asset management domain.
• 7+ years of experience working in data-driven organizations on large-scale, end-to-end data initiatives.
• 5+ years of hands-on experience building data platforms, applications, and pipelines using cloud-native technologies, including AWS, Azure, or GCP.
• Deep understanding of cloud data ecosystems, including Snowflake, Oracle, and Hadoop.
• Strong hands-on experience with Snowflake, including warehouses, query optimization, and cost governance.
• Experience with data ingestion and flow management tools.
• Strong programming skills in Python, Java, Scala, and SQL.
• Expertise with AWS services, including S3, EC2, EKS, Glue, SageMaker, Athena, and Redshift.
• Experience designing APIs and microservices.
• Strong communication, negotiation, and stakeholder management skills.
• Proven ability to influence, lead change, and drive measurable outcomes.

Nice To Haves

• Experience with data visualization tools such as Power BI or Tableau is considered an asset.

Responsibilities

• Design and implement end-to-end solutions for data, cloud, and software engineering needs.
• Collaborate with technical leads to align engineering decisions with the organization's strategic vision.
• Build scalable data pipelines, data lakes, and data warehouse solutions.
• Evaluate and implement system integrations that support data-as-a-product initiatives and enterprise data discovery capabilities.
• Partner with enterprise engineering teams to identify, evaluate, and deploy tools and technologies required to support current and future platform needs.
• Champion inner-sourcing practices to enable collaborative development across teams.
• Establish and enhance DevOps practices to improve developer experience and accelerate time-to-market.
• Promote and implement strong data governance, data quality, and reliability practices.
• Work closely with analysts, business stakeholders, and product teams to gather requirements and translate them into technical solutions.
• Deliver secure, scalable, and high-performance data products that support business-critical use cases.
• Proactively monitor workflows, resolve bottlenecks, and troubleshoot data-related issues.

Benefits

• Salaried: $65-70 per hour.
• Incorporated Business Rate: $75-80 per hour.
• Exciting 12-month opportunity with future long-term career potential.
• Full-time position offering 37.5 hours per week.