Software Engineer - Data
at Deepintent
Pune, India, hybrid, full time, 1+ years
posted 15 May 2026
- Java
- BigQuery
- ClickHouse
- Spring Boot
- Cursor
- GitHub Copilot
- SQL
- Apache Spark
- Apache Airflow
- DevOps
- GCP
- DataOps
- Claude Code
- Agile
- AWS
- Python
About the role
Posted: 2026-05-15
DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com.
What you would do
We are looking for a Software Engineer to help build and scale our core backend systems and data infrastructure. In this role, you will work hands-on to develop the foundational data pipelines, storage solutions, and robust architectures that drive our healthcare advertising solutions and support our core products, reporting APIs, and analytics initiatives.
This is an excellent opportunity for a growth-oriented engineer to work with massive datasets, modern cloud technologies, and cross-functional teams to deliver high-performance, fault-tolerant solutions.
- Build & Operate: Develop, test, and maintain highly reliable, scalable, and cost-optimized distributed systems and data architectures.
- Enable Self-Service Data: Create automated ingestion, storage, and transformation pipelines that make it simple for downstream users to access and utilize new datasets.
- Empower Machine Learning: Design and operate data pipelines specifically tailored to support the complex workflows of our Data Scientists and Machine Learning Engineers.
- Drive Operational Excellence: Help implement and champion DataOps and DevOps practices across the team to ensure system reliability and smooth deployments.
- Contribute to Best Practices: Play an active role in establishing and refining formal data practices, architectures, and engineering standards for the organization.
- Cross-Functional Collaboration: Partner effectively with business stakeholders, product teams, analysts, and senior engineers to turn business needs into technical reality.
What they are looking for
Read from job-boards.greenhouse.io, last seen 4d ago.