Top Tech Jobs & Startup Jobs in Indianapolis, IN

Lead the design and development of Windows desktop applications, enforce best practices, ensure accessibility, and take ownership of features from conception to maintenance.

The role involves developing EHS compliance systems and solutions, mentoring a team, and engaging with clients to drive sustainability and compliance efforts.

The Sales Development Representative will engage with executives to promote Transportation Insight's supply chain solutions, fostering client relationships and tracking engagement through various sales technologies.

The Marketing Specialist will manage marketing communications, conduct market research, optimize programs, create content, track project efficiency, and coordinate marketing events. Experience in healthcare marketing and content design tools is required.

The Director of Data Intelligence role involves leading a team to drive client success through data, AI, and visualization, fostering a culture of continuous improvement, ensuring delivery excellence, and participating in business development and innovation initiatives.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

As a Data Masking Specialist, you will secure data by masking sensitive information, working closely with DBAs, Developers, and Analysts using various database technologies.

The Sales Analytics Consultant partners with Sales Leadership to analyze sales data, improve forecasting and pipeline health, and create actionable insights through dashboards and reports.

The Senior EDI Developer will support Medicaid implementations, design EDI solutions, and ensure compliance with healthcare standards, requiring 7+ years of experience.

The Automation Specialist will troubleshoot, maintain, and optimize automation systems in a fulfillment center, ensuring safety and efficiency. Responsibilities include system diagnostics, collaboration with various teams, data analysis, and training technicians.

The Senior Machine Learning Engineer will develop and optimize AI image generation models, monitor production issues, and collaborate on ML solutions for generative features.

Oversee and analyze production-related costs for corn and soybean products, supporting strategic financial decisions and optimizing profitability.