Data Engineer

• Establish database management systems, standards, and guidelines.
• Define and document conceptual and logical database designs.
• Plan capacity, external data interfaces, data loading, maintenance, and security.
• Evaluate and install database management systems.
• Code complex programs and design logical processes on target platforms.
• Build windows, screens, and reports for business applications.
• Assist with user interface and application prototypes.
• Participate in quality assurance and develop test application code.
• Define and defend database tables, fields, and data standards.
• Translate business requirements into data models and specifications.
• Define table relationships and field interactions for relational models.
• Determine data suitability and optimal storage organization.
• Work closely with a team of approximately 15 engineers.

Core Focus Areas:

• Build reliable, scalable data pipelines.
• Design and optimize data models.
• Perform data analysis to support business needs.

• Minimum 8 years of data engineering experience.
• Bachelor’s degree preferred.
• Alternatives may be accepted as follows.
• PhD or Law plus 6 years of experience.
• Master’s degree plus 7 years of experience.
• Associate degree plus 9 years of experience.
• High school diploma plus 10 years of experience.

Technical Skills:

• Strong proficiency in Python and SQL.
• Hands-on experience with Databricks.
• Experience with Apache Airflow for orchestration.
• Strong knowledge of AWS services including EMR and SQL-based tooling.
• Experience building production systems using AWS EC2, ECS, API Gateway, and Lambda.
• Experience implementing CI/CD and DevOps for deployment and production support.

Soft Skills:

• Strong documentation and communication skills.
• Ability to work in a collaborative team environment.
• Strong attention to detail and quality.
• Ability to manage priorities and deliver on deadlines.