Data Engineer - Sioux Falls, SD

Job Summary :

The Data Engineer is responsible for designing and maintaining scalable data infrastructure that enables Midco to derive actionable insights and make informed business decisions. This role builds and optimizes SQL data warehouses, ETL pipelines, and analytic datasets to support both immediate and long-term analytical goals.

Responsibilities :

• Build, design and implement SQL data warehouse to support Midco's analytic needs.
• Build, design and implement data solutions that support short and long-term information & analysis goals.
• Train and mentor team members and assist with identifying development needs across the team, work with manager to coordinate additional training as needed.
• Design, develop and implement ETL procedures for optimal processing of data from a wide variety of data sources. Ensure data is verified and quality is checked
• Build analytic data sets to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with various Midco stakeholders to assist with data-related technical issues and support their data infrastructure needs.
• Ensure data integrity through regular communications with IT Developers, Analysts and SMEs
• Performing root cause analysis on internal and external data and processes to ensure proper data design.
• Consolidate and optimize existing data warehouse infrastructure
• Write and maintain comprehensive documentation, including data standards, metadata definitions, and process workflows.
• Model Midco's mission, vision, values, ethos, and Leadership Success Drivers, and inspire others to do the same.
• Ensure customer privacy by adhering to Midco's privacy guidelines while actively following Midco policies and procedures.
• Maintain reliable and predictable attendance as required by the position.
• Perform other duties as assigned.

Note : Management reserves the right to assign or reassign functions and responsibilities to this job description at any time.

Required Qualifications :

Preferred Qualifications :

Work Environment :

Physical Demands :

Mental Demands :