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

Adobe • San Jose, CA

1d

About The Position

Data Engineer - Last Mile & Application Layer (Tron Analytics Platform) Are you passionate about delivering flawless data solutions that drive business impact? We are seeking a dedicated Data Engineer to join our team in San Jose, CA! At Adobe, you will play a pivotal role in our ambitious projects, ensuring our data pipelines and application layers are world-class.

Requirements

• Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a closely related technical field.
• 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 Haves

• 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.

Responsibilities

• 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.
• 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.
• 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.
• Partner with the core development team to debug production issues, QA/test new platform features, and validate data and application components end-to-end.
• Serve as a trusted technical partner to collaborators and platform users, tackling analytics-related questions and proactively supporting evolving business needs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level