Hybrid Leadership Program – Data Engineering, AI

Posted 4 days ago

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About the role

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

Benefits

  • health care
  • dental coverage
  • vision plans
  • 401K benefits
  • commissions/incentive compensation

Job title

Leadership Program – Data Engineering, AI

Job type

Experience level

Senior

Salary

$55,300 - $99,500 per year

Degree requirement

Bachelor's Degree

Location requirements

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