RRemoteville

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Senior Data Engineer

Skills
Computer ScienceDevopsAmazon Web ServicesContextDownstream Oil And GasFoundationsSchemas
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 5+ years of data engineering or backend engineering experience delivering production-grade data systems
  • Strong hands-on experience operating a modern cloud data warehouse in production, including tuning, governance, and warehouse-native compute
  • Demonstrated experience building Agentic AI or LLM-powered systems in production
  • Advanced SQL and Python skills for reliable and well-tested pipelines and transformations
  • Experience with dbt and modern data modeling practices for self-service analytics
  • Experience with workflow orchestration and cloud-native deployment on AWS, Azure, or GCP
  • Strong fundamentals in dimensional modeling distributed systems performance tuning and data observability
  • Professional experience with Agile Kanban Git CI/CD and DevOps
  • Excellent written and verbal communication skills
  • B.S. M.S. or Ph.D. in a related field or equivalent experience

Nice to have

  • Hands-on Snowflake experience
  • Snowflake Cortex Analyst experience
  • .NET / C# familiarity
  • Svelte or React experience
  • ML workflow support
  • SaaS product analytics
  • Terraform experience
  • Docker and Kubernetes
  • Legal tech familiarity
  • Mentoring experience

Day to day

  • Design and operate production data systems that power LOIS, analytics products, and agentic AI experiences
  • Optimize Snowflake and Cortex usage through performance tuning, warehouse management, cost governance, and storage efficiency
  • Build batch and streaming pipelines that transform raw product and operational data into trusted query-ready data products
  • Develop semantic models and natural-language retrieval capabilities that improve text-to-SQL accuracy and analytics reliability
  • Establish data quality, lineage, monitoring, access control, and PII handling standards while collaborating across product and engineering teams