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
Perform data exploration, transformation, and validation to ensure accuracy and usability for business reporting and decision-making
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
Help monitor and maintain data quality standards, documentation, and lineage; learn and apply best practices for security, compliance, and governance (e.g., SOX, GDPR)
Contribute to building curated datasets and semantic layers that power dashboards, self-service analytics, and predictive insights
Support production data processes, troubleshoot issues, and assist in optimizing pipeline performance and cost efficiency

Requirements

Bachelors in Computer Science, Information Science, Mathematics, or related technical field required
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

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata modelingPythonC++C#Scaladata pipelinesdata explorationdata transformationdata validation

Soft Skills

problem-solvingcollaborationcommunicationcuriousself-drivenanalyticaladaptability