Top Software Engineer Jobs in Columbus, OH

Lead the design and development of data architecture supporting data modeling, integration, and delivery standards. Collaborate with cross-functional teams to optimize data lakes, enhance data strategy, and ensure robust analytics usage.

The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.

The Data Engineer will create and manage data sources, assist with SQL queries for the Analytics team, contribute to project workflows, and develop reporting solutions, enhancing data accessibility for business stakeholders.

MotiveMetrics seeks a Staff Front End Engineer to enhance their customer-facing application utilizing AI and machine learning. Responsibilities include working with JavaScript frameworks, designing and deploying web applications, and leading engineering teams while ensuring system quality and stability.

Senior Privacy Engineer responsible for TRM's compliance and GRC initiatives to ensure best-in-class security and trust for customers. Develop processes for controls, audits, compliance lifecycle, customer due diligence, risk assessments, vendor risk management, and improvements based on customer needs. Experience with security standards, FedRAMP certification, automation, Privacy by Design, and Privacy/GDPR compliance. Security certifications are a plus.

The Staff Software Engineer will focus on developing and managing cryptographic security tools and libraries at Gemini, enhancing the security of digital assets. Responsibilities include building software for multi-party computation, applying cryptographic methods, maintaining security solutions, and collaborating closely with multiple engineering teams.

As a Lead Engineer in MLOps, you will design and implement MLOps pipelines, manage cloud resources, automate model deployments, and collaborate with data scientists to optimize AI/ML infrastructures while staying updated on industry trends.