Shield AIData Engineer, Finance (R6329)
Shield AI is hiring a Data Engineer, Finance (R6329) in San Diego, United States. It pays $97k-$140k a year and Level rates it ; you can apply on Level.
Level's read on this job
- Works on AI ●●●○ is how Level rates this data engineer role: the daily work is on AI products, without building the model.
- The posting mentions Databricks, data engineering and sql among its tools and skills.
- Level classes it as a mid-level role.
- Shield AI has 644 other open roles on Level.
- This posting went up in the last few days.
AI in this role
Data Engineer to build reliable data foundations and semantic-layer infrastructure supporting analytics and AI-enabled applications using Databricks.
Job Description:
Shield AI is seeking a Data Engineer to build the reliable, governed data foundation for Finance's next generation of planning and decision support. Working on our Databricks platform, you will own reusable integrations, semantic-layer infrastructure, and production data services that support analytics and AI-enabled applications. You will combine engineering rigor with AI-assisted development to increase delivery speed, reliability, and cost efficiency.
How we rate this
Data Engineer, Finance (R6329) at Shield AI rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $97k
- Typical data engineer job
- $150k
This posting starts 35% below the typical data engineer job. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where ai assisted development was part of your work. What did you do?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, SQL, ETL, AI Assisted Development, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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