Top Data Engineer Jobs in St. Louis, MO
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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 Annotator will label and curate data for AI model training, including annotating multimodal data and generating multiple-choice questions. The role requires attention to detail, English proficiency, and data literacy.
The Data Annotator role involves labeling and curating data to train AI models, including tasks such as identifying objects in images, tagging text, and generating educational content like multiple-choice questions. This position requires attention to detail and expertise in STEM fields, with a focus on ensuring high-quality data for accurate AI model performance.
As a Data Annotator, you will label, curate, and review data to train and evaluate AI models. Responsibilities include annotating multimodal data, generating questions, and ensuring quality control of your work. This remote role offers flexible hours and the potential to influence AI advancements through precise data handling.
The Analytics Engineer at Zepz will develop and maintain data models, optimize data pipelines, and collaborate with cross-functional teams to provide actionable insights and ensure data quality. The role involves troubleshooting data issues and adhering to best practices for data consumption.
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The Sales Representative will engage potential clients, manage existing relationships, and sell CoStar and LoopNet products. Responsibilities include understanding client needs, handling the full sales cycle, conducting product demos, and networking at industry events.
As a Lead Data Engineer, you will design and architect cloud data lakes, implement tabular data formats, develop scalable data platforms, and collaborate with AI teams to enable data pipelines for model training and inference while ensuring data quality and governance.
As a Junior Data Engineer, you will build and support data migration staging environments and warehouses, assist with business and regulatory reporting, profile downstream data for anomalies, collaborate with QA to develop test cases, and create reporting scripts while reviewing peer work.
The Data Engineer at EverCommerce will be responsible for maintaining and scaling data operations, improving data infrastructure, and collaborating with the BI team to support analytics and decision-making across the organization. They will focus on ETL processes, data integrity, and documentation to drive operational effectiveness.
The Data Architect will develop datasets for data visualization and machine learning, automate pipelines for structured and unstructured data, and collaborate with teams to create data products. This role includes building ingestion pipelines, providing thought leadership, and ensuring project delivery from design to launch.
OptionMetrics is seeking a skilled Database Administrator with expertise in managing MSSQL and PostgreSQL databases, optimizing SQL queries, designing complex stored procedures, and ensuring database stability and performance. The role involves working with Amazon AWS services, Git/GitHub, and collaborating with cross-functional teams to troubleshoot database-related issues.
As a Senior GTM Data Strategist, you will lead analytics initiatives to enhance student safety solutions, build data infrastructure, and develop strategic insights for growth. Responsibilities include creating dashboards, managing ETL processes, and mentoring team members while collaborating with C-Suite executives.
Top Companies in St. Louis, MO Hiring Data + Analytics Roles
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