Top Data Engineer Jobs in St. Louis, MO
As a Senior Data Engineer on the Finance team, you will manage financial data pipelines, ensuring accurate reporting and collaborating with cross-functional teams. You will design scalable solutions and have autonomy in driving key initiatives that impact the company's financial data vision.
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
The Cybersecurity Operations Specialist will perform cybersecurity data analysis, manage SIEM systems, ensure service availability, execute maintenance actions, and improve system performance. They will also handle the onboarding of IT resources and manage security event routing to mission partners.
The Data Annotation Specialist reviews and labels various data types for AI and ML training data. This role requires attention to detail and teamwork within a large group, while effectively communicating and adapting to changing priorities.
The Senior BI & Analytics Engineer will manage financial data integrity, develop dashboards using Tableau, analyze financial data for insights, and play a key role in defining KPIs in collaboration with Finance leadership.
The IBM Database Engineer will provide technical support and database/software implementation for Development, Testing, and Sustainment environments related to T-FADS systems. Responsibilities include managing databases, collaborating with teams, resolving technical issues, and influencing design solutions.
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The Data Engineer will develop, operate, and design components in the data layer, focusing on data strategy, warehousing, cloud architecture, and optimizing data storage using modern tools like Spark and Hive.
The Data Architect will support and enhance Data & Analytics platforms, focusing on data movement and database technologies for analytics and ML/AI. Responsibilities include identifying performance bottlenecks, leading architectural development, designing end-to-end solutions, collaborating with various teams, and ensuring project alignment with best practices.
Top Companies in St. Louis, MO Hiring Data + Analytics Roles
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