Jellyfish

Jellyfish

Senior Data and AI Platform Engineer

Remote - US · Senior

No sponsorshipDetected 23 days ago
PythonSQLDatabricksTerraformCI/CDPlatform EngineeringdbtData EngineeringData ScienceLLMsRAGExcelCustomer SuccessUnityResearchLeadershipCommunicationMentoring

About the role

  • We love to have fun and win in the process.

Responsibilities

  • Design, build, and maintain data platforms and pipelines that support analytics, data science, BI and AI across Jellyfish.
  • Build and maintain ingestion pipelines that bring high-value data into the Lakehouse
  • Partner on data flows that send trusted data to other internal systems
  • Create standards and reusable patterns for data modeling, documentation, observability, testing, governance, and AI-readiness across the data platform.
  • Stay current with emerging Databricks and AI capabilities, evaluate where they can create real value for Jellyfish, and help turn promising ideas into production-ready platform capabilities.
  • You have designed, built, and operated reliable data platforms or large-scale data pipelines in production.
  • You understand how to build governed, well-modeled data assets that can support BI, analytics, data science, and AI use cases.
  • You are a strong programmer, with experience building production-grade systems in Python or similar languages.

Requirements

  • You have strong experience with Databricks or similar lakehouse/data platform technologies, and you are excited to help make Databricks a central platform for analytics and AI.
  • You have experience with data ingestion, transformation, orchestration, testing, monitoring, and data quality practices.

Nice to have

  • Databricks Unity Catalog, Databricks SQL, Lakehouse architecture, Delta Lake, Databricks Workflows, Databricks Apps, Genie, or related Databricks AI/BI capabilities.
  • Infrastructure-as-code and platform automation tools such as Terraform, Databricks Asset Bundles, CI/CD pipelines, or similar technologies.
  • dbt and modern analytics engineering practices

Benefits

  • Develop tools and processes to monitor data platform health, pipeline reliability, cost, performance, usage, and trust.

Visa & Work Authorization

  • Applicants must be authorized to work for any employer in the US.
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This listing is sourced directly from Jellyfish's careers page and normalized into a canonical job model.