Top Data Engineer Jobs in Oklahoma City, OK
Looking for an ML Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Collaborating closely with scientists to ensure efficient model training and integration into production environment. Responsible for reliability, cost-effectiveness, scalability, and velocity of ML models.
Looking for an ML Engineer to construct and manage robust, scalable, and high-performance compute platforms for ML workflows. Responsible for ensuring efficient model training and integration into production, supporting autonomous vehicles at Cruise. Must have strong problem-solving skills and a bias towards action.
Seeking an experienced AI and Automation Strategist to analyze and automate processes using AI technologies in the cybersecurity domain. Responsibilities include developing automation strategies, integrating AI solutions, implementing solutions with IT teams, and monitoring performance for business growth and efficiency improvement.
Seeking an experienced AI and Automation Strategist to analyze and apply AI to security processes, drive efficiency, and improve productivity. Responsibilities include analyzing processes, developing automation strategies, integrating AI, and overseeing implementation for operational and financial impact. Required skills include cybersecurity leadership, automation and AI solution implementation, knowledge of programming languages, and experience in the pharmaceutical industry.
Design, develop, and maintain software applications using SQL, Python, Snowflake, Kafka, AWS, Terraform, Kubernetes, and Docker. Collaborate with product teams, participate in SDLC, and deploy data-intensive systems. Minimum 5 years of experience required.
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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.
Design and develop data models in Snowflake with DBT for internal business partners. Write advanced SQL queries for ELT/data warehousing/Business Intelligence. Data transformation, documentation, and collaboration. Promote business data models and new metrics for Self Service Reporting. Ad-hoc queries/reports support. Follow data governance best practices. Work in a fast-paced team environment.
The Sr. SQL Data DBA participates in the design, development, implementation, review, and monitoring of all on-premises and cloud database environments. Collaborates with software development, data engineering, and QA teams to ensure efficient operations and provides guidelines on best practices.
Lead Data Management Consultant proficient in Python scripting. Responsibilities include use case development, automation, consulting, product development influence, knowledge sharing, documentation, and analytics. Minimum qualifications include a Bachelor's or Master's degree and 8 years of experience in data management solutions.
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The Data Operations Manager at Canoe Intelligence will focus on driving subject matter expertise to the execution of new products, managing service delivery, and leading improvements in data quality and analysis. Responsibilities include owning quality, advocating for standards, deriving insights, and driving continuous improvement. The role requires 5+ years of experience working with private market data and strong project management skills.
As a Senior Data Engineer at Two Barrels, you will work closely with our Software and Analyst teams to manage everything that has to do with data. This role will help get large datasets into the hands of people that need it while also making sure it doesn't adversely impact other things we have going on in our software ecosystem. There will be a heavy focus on infrastructure, data pipelines and scalable database design.
Top Companies in Oklahoma City, OK Hiring Data + Analytics Roles
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