Top Software Engineer Jobs in Indianapolis, IN

The Associate Director, Data Engineering and Development is responsible for developing SQL-based data pipelines, enhancing Power BI dashboards, and leading automation projects within Microsoft Power Platform.

Design and develop scalable microservices and systems using Node.js and Next.js, ensuring performance and observability while mentoring junior engineers.

The role involves backend and frontend software development focusing on event messaging pipelines, documentation, collaboration, and ensuring reliable feature development and architecture.

The GTM Engineer will enhance efficiency for Marketing and SDR teams through automation, AI solutions, and workflow design, directly impacting demand generation and customer engagement.

The Senior DBT Consultant will transform data into analytics-ready datasets, optimize existing dbt models, and ensure data quality, requiring strong SQL and DBT skills.

The GTM Engineer role involves optimizing workflows and automation for Marketing and SDR teams, requiring problem-solving skills and technical expertise.

Design, develop, test, maintain, and support PACS applications (Infinitt). Ensure high availability, backups, upgrades, integration with EMR, regulatory compliance, training, documentation, and lead PACS projects.

Lead technical vision and execution for complex enterprise Salesforce implementations. Architect multi-cloud solutions, integrations, and LDV data strategies; enforce code quality (Apex, LWC); implement SFDX/CI-CD workflows; mentor developers; engage clients for discovery and pre-sales technical scoping.

Improve and scale Airship's distributed data systems by reading and writing Java code, diagnosing performance and cost issues, implementing architecture and library changes, deploying improvements, responding to reliability incidents, and collaborating with backend engineers.

Build and scale production-quality full-stack systems, lead cross-functional initiatives, optimize matching algorithms, create high-quality user experiences, and use experimentation and data to drive product decisions.