Data Engineer Jobs in St. Louis, MO

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

The Developer is responsible for software design, development, testing, and technical leadership, mentoring junior developers and ensuring high-quality software delivery in Agile environments.

The Senior Geospatial Data Engineer will design and implement cloud-based geospatial data infrastructures, optimize data processes, and lead project collaborations within the team.

As a Data Engineer, you will build and maintain scalable data pipelines, support AI capabilities, design frameworks, and enforce engineering standards.

The Technical Consultant will design and maintain ELT pipelines using Snowflake and DBT, optimize Snowflake performance, and collaborate with stakeholders for data solutions.

Responsible for designing and implementing enterprise database solutions, collaborating with teams, monitoring performance, and ensuring data security and compliance.

Design and implement scalable database solutions, collaborate with teams on development phases, ensure data security, and provide technical guidance to support customer workflows using Esri technology.

The Data Analytics & AI Pre-Sales Engineer will lead opportunities in data and AI, design solutions using Microsoft Fabric, and guide clients on AI initiatives.

The role involves supporting cloud data platforms, assisting with BI delivery, contributing to CI/CD workflows, and enhancing platform operations.

The Analytics Engineer/Data Scientist will develop data models for cost analysis and reporting, transforming raw data into structured datasets and providing insights for customer billing.

The Senior Data Engineer will build and maintain data pipelines for cost analytics and chargeback reporting, transforming raw data into structured datasets.

As a Data & AI Platform Engineer, you will support operations for cloud data platforms, assist with CI/CD workflows, help teams with BI tools, and ensure security and governance practices are followed.