Part-Time AI Engineer: Production dbt & Learning Dashboards

Rite Aid; Raleigh (NC); On-site; USD 99,000 - 144,000; Part time

Benefits offered by this job

Mentor support

Flexible hours in Raleigh

Job summary

Rite Aid in Raleigh, NC is seeking a part-time dbt-focused engineer to own production data workflows and dashboards. You’ll work on incident postmortems, debug production issues, and optimize data processes in a fast-moving retail tech environment.

You’ll collaborate across teams, communicate clearly under deadline pressure, and translate complex learning systems for non-technical audiences while mentoring teammates on scalable, high-quality output.

Qualifications

• Familiar with the Raleigh market and local tech landscape.
• Strong communication skills and the ability to disagree respectfully.
• Ability to think clearly under Raleigh-style deadlines.
• Experience translating Continuous Learning complexity for non-technical audiences.
• Keen eye for quality and consistency in output.

Responsibilities

• Respond to on-call rotations and participate in incident postmortems
• Read the Data Visualization stack traces others skim past, and trace bugs to their root
• Build Continuous Learning dashboards so Rite Aid's technology team stops asking engineers for numbers
• Troubleshoot and resolve production incidents across dbt-based applications
• Re-architect the technology flow so Excel handles ten times Raleigh's current load
• Pair with cross-functional partners to scope and deliver part-time projects
• Build the Continuous Learning tooling that makes every other Raleigh engineer faster
• Trim Rite Aid's cloud bill by right-sizing the Accountability infrastructure in Raleigh, NC

Skills

Raleigh market familiarity

Communicator under friction

Clear thinking under pressure

Explain continuous learning

Quality and consistency

Job description

Rite Aid in Raleigh, NC is seeking a part-time dbt-focused engineer to own production data workflows and dashboards. You’ll work on incident postmortems, debug production issues, and optimize data processes in a fast-moving retail tech environment.

You’ll collaborate across teams, communicate clearly under deadline pressure, and translate complex learning systems for non-technical audiences while mentoring teammates on scalable, high-quality output.