Data Engineer Manger
Apply NowCompany: Deploy Alloy
Location: Birmingham, AL 35242
Description:
About the job Data Engineer Manger
Job Details
Job Location
Remote - Irondale, AL
Travel Percentage
Negligible
Job Shift
Day
Description
Purpose
The Data Engineering Manager brings strong expertise in ETL methodologies, data transformation, and cloud-based data platforms to lead a data engineering team in optimizing data handling and workflows. This roles focus on leveraging AI-driven automation techniques will enhance data processing efficiency over time. The ideal candidate for this position has a blend of hands-on technical ability, leadership skills specific to data engineering, and strategic vision for data processing.
Responsibilities
The responsibilities for this position include the following:
Qualifications
Competencies and Qualities
Qualified candidates must have the following competencies and qualities:
Education Experience and Certifications
Required
Preferred
Supervisory Responsibility
This position provides direct oversight and direction to a team of ETL developers/ data engineers, including assigning work, hiring for open positions, and conducting performance reviews.
Work Environment
This is a remote position, but there are regular meetings and critical team discussions at our client's main office in Irondale, Alabama.
Travel
This position requires little to no travel, but it may occasionally require trips to our client's office for team meetings.
Physical Demand
This role will require using a computer for long periods of time while either sitting or standing.
Position Type and Expected Hours
This is a full-time position for five, eight-hour days (at least 40 hours) per week.
Other Duties
Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities. Activities, duties, and responsibilities may change at any time with or without notice.
Job Details
Job Location
Remote - Irondale, AL
Travel Percentage
Negligible
Job Shift
Day
Description
Purpose
The Data Engineering Manager brings strong expertise in ETL methodologies, data transformation, and cloud-based data platforms to lead a data engineering team in optimizing data handling and workflows. This roles focus on leveraging AI-driven automation techniques will enhance data processing efficiency over time. The ideal candidate for this position has a blend of hands-on technical ability, leadership skills specific to data engineering, and strategic vision for data processing.
Responsibilities
The responsibilities for this position include the following:
- Provide general Leadership, Management, and Accountability (LMA) for ETL developers and data engineers, ensuring best practices in data processing.
- Develop and maintain ETL pipelines for structured and unstructured data processing.
- Implement AI-driven automation techniques to improve ETL efficiency over time.
- Ensure data quality, security, and compliance in all processes and foster a culture of continuous improvement.
- Establish and track KPIs for ETL performance, AI-driven automation, data integrity, and team productivity.
Qualifications
Competencies and Qualities
Qualified candidates must have the following competencies and qualities:
- Excellent problem-solving, project management, and stakeholder communication skills
- Interest in AI/ML techniques for data processing, with a willingness to apply AI-driven automation over time
- Able to lead a team to achieve high-level goals by initiating detailed, actionable plans
- Attentive to the skill level and performance of direct reports
- Resourceful and creative problem solver
Education Experience and Certifications
Required
- 5+ years of experience in ETL development, data engineering, or a related field
- 3+ years of leadership experience in a software development or data engineering role
- Experience working with unstructured data and data transformation techniques
- Hands-on experience with ETL tools and data processing frameworks
- Proficiency in Microsoft development tools, including Visual Studio, using C#
- Experience with cloud-based data platforms (AWS Glue, Redshift, etc).
- Strong knowledge of database systems, data lakes, and data warehouse solutions
Preferred
- Hands-on experience or familiarity with AI/ML techniques for data transformation and anomaly detection
- Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes)
- Experience with S3, EC2, Secrets Manager, CloudWatch, RDS
- Experience building complicated Regular Expressions
- Knowledge of data governance and regulatory compliance frameworks
Supervisory Responsibility
This position provides direct oversight and direction to a team of ETL developers/ data engineers, including assigning work, hiring for open positions, and conducting performance reviews.
Work Environment
This is a remote position, but there are regular meetings and critical team discussions at our client's main office in Irondale, Alabama.
Travel
This position requires little to no travel, but it may occasionally require trips to our client's office for team meetings.
Physical Demand
This role will require using a computer for long periods of time while either sitting or standing.
Position Type and Expected Hours
This is a full-time position for five, eight-hour days (at least 40 hours) per week.
Other Duties
Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities. Activities, duties, and responsibilities may change at any time with or without notice.