Quality Systems Data Engineer

Position Overview

Quality Systems Data Engineer – Saint Louis, MO (Hybrid).Compensation: $50-54/HR.
Support our Quality Systems platform through development on visualization and in-house solutions, specifically Pipeline Pilot. A strong mindset in business insights with a development background will enable the integration of the current solution into S/4 Hana and Google Cloud, transforming the workflow and data processing to deliver data effectively to the shop floor.

Key Responsibilities

• Provide technical expertise in a small team format to understand, design, and deliver a maintainable data pipeline.
• Focus on Pipeline Pilot and SpotFire; use essential skills with SpotFire, Google BigQuery, and Pipeline Pilot.
• Build and deploy datasets based on user requirements for visualization and reporting while ensuring quality and relational integrity.
• Ensure clear data lineage within visualizations, supported by adequate documentation and organization.
• Leverage DevOps expertise to support the team and build a robust deployment infrastructure.
• Assist in building sprint schedules, assigning support tickets, and managing bug trackers.
• Apply QA experience to enhance product quality.
• Develop data visualizations and reporting solutions based on feedback from engineers, IT developers, and end users.
• Collaborate with engineers and IT developers to create data reports, gather requirements, and investigate business needs.
• Work closely with managers, regional automation, or process engineers depending on the site.

Required Qualifications

• Minimum Bachelor’s Degree in Engineering, Computer Science, or a related field.
• 3-5 years of experience in Manufacturing, Life Science, Quality Systems, or a related field.
• 3-5 years of experience building production solutions with Bovia Pipeline Pilot, including component authoring, protocol design, and web services.
• 3+ years of experience with TIBCO Spotfire or PowerBi, including work with Google BigQuery, Iron Python scripting, data functions, Information Links, and Automation Services.
• Ability to manage and communicate complex projects while collaborating with cross-functional teams effectively.
• Domain knowledge in data process automation, scheduling, and data architecture using SQL, Python, R, SAS, or similar languages.
• Excellent oral and written communication skills with the ability to convey complex analytical approaches to all levels of leadership.
• Proven track record of developing innovative solutions and independently exploring new technologies.
• History of meeting tight deadlines and providing accurate time estimates for complex tasks.
• ETL experience with a variety of technologies.
• Familiarity with Denodo or data virtualization is preferred.
• Understanding of deployment process flow concepts.