Leadership Program - Data Engineering​/AI; Hybrid

Position Summary

Acuity's Leadership Program is a two‑year rotational experience that develops high‑potential early career talent into impactful professionals through hands‑on experience. LPs rotate to a different functional area every six months to build business acumen and skill proficiency. Upon graduation from the Leadership Program, participants understand how they fit into the larger company strategy and have the necessary skills to develop into a future leader at Acuity Brands.

This role starts employment on July 13, 2026, and will work in a hybrid role in the Atlanta, GA corporate office.

• Specialized onboarding for all participants to ensure integration into the organization and program.
• One‑on‑one mentorship from an ABL Tech leader for the duration of the program (and beyond).
• Social and networking events to forge connections with peers and leaders across the business.
• Frequent opportunities to collaborate with program peers to learn about various business processes and initiatives.
• Leadership report‑out meetings to share rotational learnings and performance reviews to identify strengths and areas for growth.

As a Data Engineering LP, you will play a hands‑on role in advancing this vision. You will architect, implement, and deploy new data models & pipelines and perform data analysis to uncover insights that drive high‑impact business decisions.

• Design and Build Data Pipelines – assist in architecting, implementing, and deploying data pipelines and models that support Acuity's analytics and AI initiatives using tools like Azure Data Factory, Databricks, and SQL.
• Analyze and Prepare Data – perform data exploration, transformation, and validation to ensure accuracy and usability for business reporting and decision‑making.
• Collaborate Across Teams – work closely with engineers, product managers, and data scientists to understand data needs, translate business requirements into data solutions, and support integration of ML/AI models.
• Support Data Quality and Governance – help monitor and maintain data quality standards, documentation, and lineage; learn and apply best practices for security, compliance, and governance (e.g., SOX, GDPR).
• Enable Data Insights – contribute to building curated datasets and semantic layers that power dashboards, self‑service analytics, and predictive insights.
• Operate and Improve Data Systems – support production data processes, troubleshoot issues, and assist in optimizing pipeline performance and cost efficiency.

• Bachelor's in Computer Science, Information Science, Mathematics, or related technical field.
• Master's degree preferred.
• Knowledge of SQL, data modeling and at least one programming language (e.g., Python, C++, C#, Scala).
• Strong problem‑solving, collaboration, and communication skills.
• Curious, self‑driven, analytical and excited to play with data.
• Ability to thrive in a fast‑paced work environment.

• Microsoft Certified:
  Azure Data Engineer Associate certification.
• Experience with real‑time data processing (Event Hubs, Kafka, Delta Live Tables, Azure Stream Analytics).
• Exposure to MLOps or integrating ML models into data pipelines.

The range for this position is $55,300.00 to $99,500.00. Placement within this range may vary, depending on the applicant's experience and geographic location.

Benefits include health care, dental coverage, vision plans, 401(k) benefits, and commissions/incentive compensation depending on the role.

We value diversity and are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, age, gender, sexual orientation, gender identity and expression, ethnicity or national origin, disability, pregnancy, religion, covered veteran status, protected genetic information, or any other characteristic protected by law.

Accommodation for Applicants with Disabilities:
As an equal opportunity employer, Acuity Inc. is committed to providing reasonable accommodations in its application process for qualified individuals with disabilities and disabled veterans. If you have difficulty using our online system due to a disability and need an accommodation, you may contact us at (770) 922‑9000. Please clearly indicate what type of accommodation you are requesting and for what requisition.

For more information regarding employment rights, please refer to the EEOC poster and the Right‑To‑Work poster.