Data Engineer Senior - Hybrid

Req ID: 11649

Remote Opportunities: Remote

Acuity Inc. (NYSE: AYI) is a market-leading industrial technology company. We use technology to solve problems in spaces, light and more things to come. Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people’s lives.

We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and an audio, video and control platform. We focus on customer outcomes and drive growth and productivity to increase market share and deliver superior returns. We look to aggressively deploy capital to grow the business and to enter attractive new verticals.

Acuity Inc. is based in Atlanta, Georgia, with operations across North America, Europe and Asia. The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www.acuityinc.com.

Job Summary

We are seeking a Data Engineer to design, build, and optimize data pipelines on the Azure Data Platform, enabling analytics, BI, and AI/ML use cases across the enterprise. Working under the guidance of the Data Engineering Manager, you will contribute to building AI-ready, secure, and compliant data solutions that power insights and decision-making.

Key Tasks & Responsibilities (Essential Functions)

Data Platform & Pipeline Development
• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks (PySpark/SQL).
• Ingest and transform data from structured and unstructured sources, supporting both batch and streaming use cases.
• Implement data quality, validation, and monitoring within pipelines to ensure reliability.
• Collaborate with ML/AI teams to prepare AI-ready datasets and support integration of ML models into production workflows.

Data Integration & Enrichment
• Build domain-oriented, enriched data layers that power BI dashboards, advanced analytics, and predictive models.
• Partner with BI Engineers to deliver optimized data models for Power BI semantic layers.
• Ensure timely and accurate data availability for business users and analytics teams.

Governance, Security & Compliance
• Follow established data governance and security standards to handle PII/SPII and regulated data.
• Implement audit trails, logging, and access controls in alignment with SOX, and GDPR compliance requirements.
• Maintain data lineage and cataloging through Azure Purview or other enterprise tools.

Data Democratization & Literacy Support
• Enable self-service analytics by publishing curated and trusted datasets into the data marketplace.
• Work with business analysts and power users to promote adoption of consistent, governed data sources.
• Contribute to a culture of data literacy, ensuring stakeholders can confidently use data for decision-making.

Operational Excellence & Collaboration
• Monitor, troubleshoot, and optimize pipelines for performance and cost efficiency.
• Follow DataOps practices, including CI/CD for data pipelines, automated testing, and deployment.
• Collaborate cross-functionally with BI engineers, business analysts, and the ML/AI team to deliver end-to-end solutions.

Skills and Minimum Experience Required

• Associate or Bachelor’s degree in Computer Science, Data Engineering, or related field.
• 3+ years of hands-on experience in data engineering roles.
• Proficiency with Python, Databricks (PySpark/SQL), Azure Data Factory, and Data Lakehouse architectures.
• Strong SQL and data modeling skills, with experience in ETL/ELT development.
• Familiarity with Power BI datasets and semantic modeling concepts.
• Understanding of data governance, compliance (SOX, GDPR), and security best practices.
• Strong problem-solving, collaboration, and communication skills.

Nice to Have
• 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.
• Familiarity with data catalog / marketplace tools (Informatica, Alation).

#LI-EK1

The range for this position is $120,800.00 to $217,400.00. Placement within this range may vary, depending on the applicant’s experience and geographic location. Acuity offers generous benefits including health care, dental coverage, vision plans, 401K benefits, and commissions/incentive compensation depending on the role. For a list of our benefits, click here.

We value diversity and are an equal opportunity employer.  All qualified applicants will be considered for employment without regards 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. 

Please click here and here for more information.  

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. 

Any unsolicited resumes sent to Acuity Inc. from a third party, such as an Agency recruiter, including unsolicited resumes sent to an Acuity Inc. mailing address, fax machine or email address, directly to Acuity Inc. employees, or to Acuity Inc. resume database will be considered Acuity Inc. property. Acuity Inc. will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Acuity Inc. will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor, but does not have the appropriate approvals to be engaged on a search.

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