Data Engineer - Manager
Job Description
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.