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Sr Data Engineer

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We are seeking a hands-on Senior Solution Engineer to design, build, and operate robust cloud-native data and AI solutions. This role is ideal for experienced engineers who combine strong software fundamentals with deep practical expertise in AWS and Snowflake.

What you’ll do

  • Design, build, and operate production-grade data & AI solutions end-to-end.
  • Develop scalable, secure, and well-governed pipelines across structured, semi-structured, and unstructured data.
  • Model and optimize Snowflake datasets for performance, consistency, and usability.
  • Partner with stakeholders to translate business needs into technical solutions.
  • Leverage AI-assisted engineering tools (e.g., GitHub Copilot, Claude) to accelerate delivery.
  • Build cloud-native integrations and automation using AWS services.
  • Own deployment, release, and production operations with strong troubleshooting and performance tuning skills.

What we’re looking for

  • Bachelor’s/Master’s in Computer Science, Software/Data Engineering, AI/ML, or related field.
  • 7+ years of professional engineering experience delivering production-grade systems.
  • Deep hands-on AWS and Snowflake expertise (certifications preferred).
  • Strong proficiency in Python and/or Java.
  • Familiarity with AWS AI services (e.g., Amazon Bedrock) and responsible AI practices.
  • Experience with AI-assisted engineering tools as part of daily workflow.
  • Background in financial services is a plus.

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →

See also

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