Top Senior Data Engineer Jobs in St. Louis, MO

The role involves building large, scalable analytics pipelines, defining data models, integrating data, and collaborating on data architecture and strategies.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

The Principal Data Platform Engineer leads the design of data architectures, implements data platform patterns, and optimizes system performance, ensuring data strategy operates at scale.

As a Staff Data Engineer, you will design and optimize data infrastructure, collaborate with stakeholders, ensure data quality, and provide technical leadership while owning architectural improvements and driving operational excellence.

The Data Engineer will build and manage data infrastructure on AWS, optimizing data pipelines and operations using AI technologies to support Guidewire's insurance products.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

Lead and mentor a data engineering team to design and operate scalable ETL/ELT pipelines and Snowflake data warehouse solutions using Python, DBT, Matillion, and AI tools; establish standards, ensure data quality and governance, and collaborate with analytics, product, and BI stakeholders to deliver production-ready data platforms.

Design, architect, and deliver services for Ensemble's products while collaborating with cross-functional teams and mentoring junior engineers.

As a Principal Data Engineer, you will design and implement data infrastructure and solutions, collaborating across teams to enhance healthcare data usage.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

The Principal Data Engineer will lead the Data Resolution team, focusing on complex data challenges using Spark, system architecture, and mentorship, to optimize graph data pipelines.

The Principal Data Engineer designs data solutions, mentors teams, guides implementation, and connects data to real-world outcomes to enhance educational data value.

The Senior Data Engineer will build and maintain data pipelines, optimize data processing, and ensure data privacy and quality within the healthcare tech space.

As a Data Engineer, you will build and maintain scalable data pipelines, implement data engineering frameworks, and support AI initiatives. You will also design processes for data cleansing, transformation, and orchestration while adhering to engineering standards.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

The Staff Data Engineer will architect and build scalable data pipelines, develop internal tools and APIs, and modernize data operations, focusing on data quality and self-service platforms.

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

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

As a Data Engineer at Common Room, you'll build ETL pipelines, process billions of events daily, and collaborate on backend projects using AWS, Postgres, and Node.js.

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 Senior Data Engineer, you will design and maintain scalable data models, build production data pipelines, and support analytics across various business functions.

The Data Engineer Senior will optimize data pipelines, work within scrum teams, mentor others, and improve data quality, reliability, and governance.

The Data Engineer III will design, develop, and maintain data solutions while collaborating with teams, ensuring compliance with standards and leading projects.