Data Engineer – Manager

Jobtailor

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Jobtailor is seeking an experienced Data Engineer in Illinois to design robust data infrastructure and lead data-driven projects for diverse clients.

The role requires expertise with AWS, Azure Data Factory, Snowflake, and Databricks, plus mentoring responsibilities to grow the team’s capabilities.

Bachelor's degree required.
Minimum 4 years of experience.
Experience with AWS and Azure Data Factory.
Experience building data architectures and optimizing with Snowflake and Databricks.
Ability to implement data anonymization and security practices.
Experience in dimensional modeling and data pipeline management.
Leadership in data warehouse troubleshooting and performance tuning.
Mentoring junior staff in data strategy and validation techniques.

Design and implement data infrastructure and systems for efficient processing and analysis.
Develop and manage data pipelines, integration, and transformation solutions.
Utilize AWS and Azure Data Factory to enhance data engineering capabilities.
Lead teams in strategic planning and execution of data-driven projects.
Oversee deployment of scalable data solutions using Databricks and Snowflake.
Guide team members in data architecture development and database optimization.
Validate data quality, security, and compliance within analytics frameworks.
Identify opportunities for data utilization to drive business growth.
Mentor junior staff to develop skills and foster innovation.
Address conflicts and engage with clients and stakeholders.

AWS

Azure

Databricks

Snowflake

Data modeling

ETL pipelines

Leadership

Mentoring

Data governance

Bachelor's degree

AWS

Azure Data Factory

Databricks

Snowflake

Responsibilities

Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
Developing and managing data pipelines, integration, and transformation solutions to support client needs
Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
Leading teams in the strategic planning and execution of data-driven projects
Overseeing the deployment of scalable data solutions using platforms like Databricks and Snowflake
Guiding team members in data architecture development and database optimization
Validating data quality, security, and compliance within analytics frameworks
Identifying opportunities for data utilization to drive business growth and performance
Mentoring junior staff to develop their skills and encourage innovation
Addressing conflicts and engaging in critical conversations with clients and stakeholders

Requirements

At least a Bachelor's degree
At least 4 years of experience
Preference for fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics
Utilizing Amazon Web Services (AWS) and Azure Data Factory for data engineering
Developing data architecture and optimization strategies using Snowflake and Databricks
Implementing data anonymization and security best practices in complex systemsExcelling in dimensional modeling and data pipeline management
Leading teams in data warehouse troubleshooting and performance tuning
Mentoring junior staff in data strategy and validation techniques