Top Data Engineer Jobs in Tampa Bay, FL
Senior Machine Learning Modeler role at Cash App's Financial Crimes Technology team. Responsible for building ML models to detect illegal activity, improve agent workflow, and facilitate ML-based Customer Risk Rating program. Must have 4+ years of ML modeling experience.
Senior Data Engineer responsible for building ETL/ELT pipelines on big data platforms, analyzing complex data, and collaborating with peers. Must have 5+ years of Data Engineering experience, strong SQL skills, and experience working with Python. Knowledge of ad-tech terms and secure architectures is a plus. Bachelor's degree in Computer Science or related field preferred.
Senior Machine Learning Engineer responsible for developing machine learning model pipelines, architecting APIs, and creating microservices. Stay updated on latest ML technologies, implement best practices, and collaborate with cross-functional teams for product delivery.
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Lead Data Analytics & Technologies Director role in Healthcare, Pharma & Life Sciences, focused on driving innovation and growth by aligning client data strategies with business goals. Responsible for choosing data platforms, defining data needs, and migrating to modern cloud environments. Thought leader abilities in building trusting relationships, developing digital solutions, and leading business development efforts.
Lead a team to drive business results using data analytics in the Healthcare, Pharma & Life Sciences industry. Align client data strategies, choose platforms, define data needs, and migrate to modern cloud data environments. Responsible for promoting team disruption and evolution, creating value propositions, and driving business development efforts. Requires 12 years of experience.
Lead the Data and Analytics services within a healthcare, pharma, and life sciences context. Drive innovation and growth through enterprise insights and smarter data analytics. Align client data strategies with business goals and migrate to modern cloud data environments. Develop trusting relationships with stakeholders and act as a trusted advisor. Responsible for business development efforts and client presentations.
Lead Data Engineer responsible for designing and building reusable data integration components and frameworks at scale. Will work with various data sources, develop data pipelines, and collaborate with DevOps and data scientists.
Join GRAIL as a Staff Data Engineer to support the data needs of clinical and research activities. Automate and enhance data infrastructure to contribute to early cancer detection efforts. Work collaboratively to design, deploy, and automate secure and efficient data infrastructure and tools.
Experience in quality assurance and application development, strong test automation skills in Java and Python, testing large-scale production systems, evaluating AI/ML models, creating comprehensive test plans, and collaborating with developers to design testing strategies for features being developed.
The Manager of Machine Learning Engineering at Samsara leads teams in building and managing machine learning solutions for customers, focusing on computer vision, sensor fusion, and AI deployment. This role is fully remote in the US and Canada, with a focus on impactful technology development for industries like transportation and manufacturing.
As a Senior Machine Learning Engineer in the Underwriting & Credit team at Cash App, you will design and manage distributed services and pipelines for evaluating customer cash flow risk using ML solutions. You will lead projects, collaborate with various teams, solve technical challenges at scale, and contribute to the growth of development capabilities through mentoring.
Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, empower teams to understand financial performance, experiment with modeling techniques, partner cross-functionally with finance, product, and engineering teams.
Develop and maintain data infrastructure for data scientists, support analytics development, ensure adherence to data practices and standards. Requires 7+ years of experience in data engineering in the healthcare sector with a degree in Computer Sciences, Statistics, Clinical Informatics or similar field.
Develop data infrastructure for data scientists, support analytics development, ensure adherence to data practices and standards. Requires 7+ years of experience in data engineering, especially in the healthcare sector.
Develop data infrastructure for data scientists in the healthcare sector, optimize data architecture and pipelines, support analytics development, ensure adherence to data practices and standards, and provide technical leadership in data engineering processes. Requires 7+ years of experience in data engineering with a degree in Computer Sciences, Statistics, Clinical Informatics or relevant field.
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