Data Engineer/Architect

$90,000 - $100,000/Yr

Randstad - Minneapolis, MN

Full-time - Mid Level

Minneapolis, MN

Administrative and Support Services

About the position

We are seeking a highly skilled and motivated Data Engineer to own our organization's data impact and architecture. This individual will play a pivotal role in designing, implementing, and maintaining robust data management systems and processes. Leveraging expertise in data architecture, integration, and governance, the Data Engineer will collaborate cross-functionally to ensure the integrity, accessibility, and efficiency of our organization's data assets.

Responsibilities

• Implement and execute performance tuning strategies to optimize system efficiency, including analyzing bottlenecks, fine-tuning configurations, and optimizing queries for improved response times and resource utilization.
• Develop and implement robust data models to support business requirements using relational and dimensional modeling techniques, data normalization, and schema design to ensure scalability, performance, and data integrity within the organization's databases and systems.
• Develop comprehensive data roadmaps outlining the strategic direction for data management, integration, and utilization, including identifying key milestones, technologies, and processes to ensure alignment with organizational goals and objectives.
• Reverse engineer data systems and vendor applications to understand data structures, relationships, and integration points, enabling effective data extraction, transformation, and loading (ETL) processes for data migration, integration, and analysis purposes.
• Investigate data sources, understand data repositories, and create documentation for future optimization.
• Provide actionable recommendations to key stakeholders and business teams for improving data quality, reliability, and efficiency based on the analysis of integrity issues and process inefficiencies.
• Collaborate in the development of data roadmaps outlining strategic initiatives to address identified gaps and drive continuous improvement.
• Establish and maintain data lineage documentation, mapping the flow of data from its origin through various transformations and systems, ensuring transparency and traceability for compliance, auditing, and troubleshooting purposes.
• Provides thought leadership to develop new or improved processes, methodologies, systems, tools and/or services to enhance operating environment based on practical experience, optimal outcomes, and best practices.

Requirements

• Minimum 4 years of experience in data engineering or related field.
• Bachelor's degree in a relevant field.

Nice-to-haves

• Experience with ETL processes (4 years of experience preferred).

Benefits

• Comprehensive benefits package including health insurance, an incentive and recognition program, and 401K contribution.