Principal Data Software Engineer at GetWellNetwork, Inc.

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

17 Jul, 26

Salary

0.0

Posted On

18 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud Architecture, Python, Scala, SQL, Apache Spark, Databricks, Snowflake, Data Governance, Healthcare Data Standards, FHIR, HL7, Data Pipeline Development, Machine Learning, System Architecture, Technical Leadership

Industry

Hospitals and Health Care

Description

Title: Principal Data Software Engineer Location: Bengaluru (Bangalore) Opportunity: Get Well is seeking a visionary and technically adept Principal Data Software Engineer to design, develop and optimize our cloud-native data platform supporting AI, analytics, and clinical applications. This role is pivotal in architecting scalable, secure, and high-performance data processing systems within a regulated healthcare environment. The ideal candidate brings deep technical expertise in data engineering, data governance, cloud infrastructure and hands-on experience with healthcare data standards, EMR integration, and clinical ontologie. The candidate should have a proven record of building secure, scalable data platforms. This position reports to the Senior Director, Product Development. This role requires close collaboration with data engineers, product teams, AI engineers and compliance specialists to deliver accurate, accessible, and actionable data solutions. Responsibilities: Platform Architecture & Design Design and implement scalable, secure, and efficient data architectures (e.g., data lakehouse, medallion architecture) to support enterprise AI and analytics initiatives. Define technical specifications for data ingestion, transformation, storage, and access layers. Evaluate and recommend tools, frameworks, and cloud infrastructure to optimize performance, scalability, and cost-efficiency. Ensure architectural alignment with organizational AI, analytics, and clinical application goals. Data Engineering & Operations Develop and maintain high-performance data pipelines for both batch and streaming data processing, leveraging tools such as Apache Spark, Databricks or Snowflake. Implement deployment and orchestration frameworks (e.g., Airflow, dbt, Spark, Databricks, Snowflake) Adhere to engineering best practices for CI/CD, observability, incident response, and SLA adherence Optimize data processing systems for performance, reliability, and reusability. Mentor engineers to foster technical growth and ensure alignment with best practices in data engineering. Governance, Quality & Compliance Collaborate with data governance and compliance teams to implement data security, encryption, and access control policies in line with HIPAA, GDPR, and other regulations. Ensure data quality through validation, lineage tracking, and metadata management practices. Support the development and maintenance of data catalogs for discoverability and stewardship Collaboration & Technical Leadership Partner with data engineers, product teams, and clinical informatics specialists to deliver integrated data solutions. Provide technical guidance and mentorship to junior engineers, fostering a culture of technical excellence and collaboration. Communicate complex technical designs and solutions to both technical and non-technical stakeholders effectively. Contribute to agile development practices, participating in code reviews, design discussions, and continuous improvement initiatives. Innovation & Technical Expertise Stay informed about emerging trends in data engineering, cloud-native architectures, and healthcare data standards. Prototype and evaluate modern data frameworks and tools (e.g., Delta Lake, Apache Iceberg) to enhance platform capabilities. Communicate complex technical concepts to both technical and non-technical stakeholders. Advocate for best practices in data platform design to ensure scalability, explainability, and compliance in AI-driven systems. Requirements: Education & Experience Bachelor’s or Master’s degree in Computer Science or related technical discipline 12+ years of experience with at least 4+ years in data engineering or platform roles Proven track record of designing and implementing cloud-native data processing systems. Technical Proficiency Advanced proficiency in Python, Scala, SQL, and distributed data processing frameworks such as Apache Spark. Hands-on experience with cloud-based data platforms (e.g., Databricks, Snowflake, BigQuery, or Redshift). Demonstrated ability to transform raw clinical data into curated, ML-ready datasets for analytics and AI applications. Hands-on expertise in healthcare data standards including FHIR, HL7, USCDI, and CCDA Professional Skills Strong problem-solving skills with a focus on delivering scalable and maintainable solutions. Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams. Proactive, detail-oriented, and committed to driving technical excellence in a fast-paced environment. About Get Well: Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter. Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status. About SAI Group: SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia) TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Responsibilities

Design and implement scalable, secure, and efficient cloud-native data architectures to support AI, analytics, and clinical applications. Develop high-performance data pipelines and collaborate with cross-functional teams to ensure data quality, compliance, and technical excellence.