Data Engineer - Last Mile & Application Layer (tron Analytics Platform)

Adobe Adobe · Enterprise · San Jose, CA

Data Engineer role focused on building and maintaining last-mile data pipelines and the application metadata layer for the Tron Analytics Platform. Requires strong SQL, Spark, Python, and cloud platform experience.

What you'd actually do

  1. Work closely with business collaborators and data engineering teams to understand requirements and onboarding needs. Then, translate these into reliable, scalable integrations on Tron and supporting BI tools.
  2. Compose, build, and maintain last-mile data pipelines that ingest, transform, and deliver data from various systems into the Tron ecosystem. Ensure the pipelines provide high quality, low latency, and resilience.
  3. Architect and implement the application metadata layer that connects underlying data models to the UI, crafting a clean, maintainable bridge that makes Tron intuitive for end users.
  4. Partner with the core development team to debug production issues, QA/test new platform features, and validate data and application components end-to-end.
  5. Serve as a trusted technical partner to collaborators and platform users, tackling analytics-related questions and proactively supporting evolving business needs.

Skills

Required

  • 5+ years of deep SQL expertise, performance tuning, and building solutions across multiple database platforms.
  • Strong hands-on comfort in Unix/Shell environments, combined with experience in Spark and Python for data processing and pipeline logic.
  • 5+ years working directly in major cloud platforms (Azure, AWS, or GCP).
  • Practical working experience with Git for version control, JIRA for task tracking, and modern IDEs for efficient development.

Nice to have

  • Experience building or extending internal analytics/BI platforms.
  • Familiarity with data observability tools or implementing custom monitoring/tracing.
  • Exposure to infrastructure-as-code or CI/CD for data pipelines.
  • Background collaborating across distributed/global teams.