Top Data Engineer Jobs in St. Louis, MO
Design and develop data models in Snowflake with DBT, write advanced SQL queries for ELT and data warehousing, collaborate with business partners, promote self-service reporting, and ensure data governance and privacy standards.
Join Iodine Software as a Senior Site Reliability Engineer specializing in managing and growing data platforms. Collaborate with teams on infrastructure projects and provide database performance consultations. Engineer solutions for expanding infrastructure.
Design, build, and enhance batch and real-time inference services and tooling that support machine learning use cases. Collaborate with ML modelers to encourage adoption of new tools and technologies and plan for future needs of the ML teams.
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Lead the design and deployment of data pipelines for real-time monitoring services, make recommendations for metrics collection, think creatively about failure scenarios, and implement resilient distributed systems for high reliability in blockchain environments.
Lead and contribute to developing and implementing machine learning models and algorithms for a tech company in the TV advertising industry, focusing on scalability, performance, and innovation. Responsibilities include designing and optimizing models, preprocessing data, deploying models, mentoring junior engineers, and collaborating with cross-functional teams. Requires 10+ years of experience in backend systems with a specialization in machine learning, a degree in Computer Science or related field, familiarity with core ML technologies, and expertise in machine learning algorithms.
Full-time Data Engineer role at SailPoint focusing on building and scaling the SailPoint Data Platform. Responsibilities include delivering efficient and reliable data engineering solutions, collaborating on designs and testing, and producing unit and end-to-end tests. Required skills include Python, SQL, communication skills, and a degree in Computer Science or a related field.
Seeking a Senior Manager, Data Engineering at Capital One Software. Responsibilities include leading a team of developers, collaborating on technical solutions, utilizing programming languages and cloud services, and providing technical and people leadership. Requires 8 years of application development experience and expertise in big data technologies and cloud computing.
Lead a team of data engineers in designing, developing, testing, and implementing technical solutions using full-stack development tools and technologies. Collaborate with Agile teams to drive a transformation within Capital One. Provide technical and people leadership to deliver cloud-based data solutions for analytical and decision support experiences.
Lead a team of developers in designing, developing, and implementing technical solutions using full-stack development tools and technologies. Collaborate with product managers and data analysts to deliver cloud-based data solutions for analytical insights. Provide technical and people leadership to drive major transformations within Capital One.
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with engineering teams and partners to deliver core infrastructure and optimizations.
Design, build, and maintain research data platforms and pipelines for analytics and data science. Collaborate with data scientists to acquire and aggregate data at scale. Develop tools to monitor platform health and performance. Collaborate on data flows for new feature prototypes. Perform data analyses and exploration as needed.
The Operations Data Analytics Senior is responsible for independently leading analytics projects to provide insights for business decisions and managing cross-functional stakeholders. This full-time seasonal role lasts 6-8 months and offers the opportunity to work on complex operational improvement projects.
Top Companies in St. Louis, MO Hiring Data + Analytics Roles
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