Data Engineer - Manager

Data Engineer - Manager role in Stamford, CT (hybrid) with a salary range of USD 99,000 - 232,000 per year.

Responsibilities

• Design, build, and deploy data architectures and platforms that enable efficient data processing and analytics.
• Create and manage data pipelines, integrations, and transformations to meet client requirements.
• Leverage AWS and Azure Data Factory to optimize data workflows and engineering capabilities.
• Lead teams through strategic planning and delivery of data driven initiatives.
• Oversee the deployment of scalable data solutions on Databricks and Snowflake.
• Mentor team members in data architecture design and database performance optimization.
• Ensure data quality, security, and compliance within analytics frameworks.
• Identify opportunities to leverage data for growth and performance improvements.
• Provide mentorship to junior staff to develop skills and foster innovation.
• Address conflicts and engage in critical conversations with clients and stakeholders.

Requirements

• Bachelor's degree required.
• Minimum 4 years of experience.

Technologies

• Amazon Web Services (AWS)
• Azure Data Factory
• Databricks
• Snowflake

Benefits

• Medical
• Dental
• Vision
• 401k
• Holiday pay
• Vacation
• Personal and family sick leave

What Sets You Apart

• Preferred educational backgrounds include MIS, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics.
• Experience using AWS and Azure Data Factory for data engineering tasks.
• Ability to design data architecture and optimization strategies with Snowflake and Databricks.
• Implementing data anonymization and security best practices in complex systems.
• Strength in dimensional modeling and data pipeline management.
• Leadership in data warehouse troubleshooting and performance tuning.
• Mentoring junior staff in data strategy and validation techniques.