Sr. Associate - Data Engineering - LATAM

Openvale Group•Sacramento, CA
•$40,000 - $50,000•Remote

About The Position

In the Data Engineering Sr. Associate role, you will be the hands-on engineer behind our APM solutions. You will build and run the data platforms our Finance solutions sit on, from source systems through to reporting, and keep them healthy after go-live. You’ll also support agent builds alongside our Forward Deployed Engineering team as projects need it. You will work alongside a Senior Manager on our delivery team, and our APM training program gets you up to speed. You don’t need prior experience with Microsoft Fabric or Finance data; we will teach you both. You’ll typically support 3-4 client engagements at a time, working with our consultants, who own the business logic and client relationship. Our clients range from Series B/C startups to Fortune 500 enterprises.

Requirements

  • 3+ years of hands-on data engineering experience; consulting or client-facing delivery a plus
  • Strong SQL and Python skills
  • Experience with an enterprise data platform (e.g., AWS, GCP, Azure, Snowflake, or Microsoft Fabric); Fabric experience is a plus, not a requirement
  • Experience with Git and CI/CD for data platforms
  • Experience running and supporting production pipelines
  • Hands-on experience with agentic coding tools (e.g., Claude Code, Codex) and a desire to build with them every day
  • Strong communication and documentation habits
  • Curiosity about how Finance teams run
  • Willingness and entrepreneurial spirit to operate in a bona fide startup environment – high drive and work ethic, adaptable to change, fast learner
  • Bachelor’s Degree in a technical field, or equivalent practical experience
  • Fluent spoken and written English

Nice To Haves

  • Consulting or client-facing delivery experience
  • Microsoft Fabric experience

Responsibilities

  • Ingesting data from ERPs, operational systems, and Excel-based inputs into Microsoft Fabric
  • Building lakehouse and warehouse layers with SQL and Python, with validation built in so bad data never reaches reporting
  • Managing source control and deployments across client environments
  • Setting up environments, security, and access with client IT teams
  • Monitoring production pipelines and supporting incident response
  • Supporting backup and disaster recovery for client solutions
  • Technical discovery and effort estimates
  • Documentation and runbooks written as part of the build
  • Contributing reusable code and best practices to our internal knowledge base
  • Building with agentic coding tools as part of daily engineering work

Benefits

  • Equipment and training costs covered
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