Job Description

Title: Staff Data Software Engineer

Reporting to:

Director, Data & AI

Location:

Bengaluru (Bangalore)

Opportunity

Get Well is seeking a skilled and motivated Staff Data Software Engineer to help build and optimize our cloud-native data platform supporting AI, analytics, and clinical applications. You will play a key role in developing secure and scalable data pipelines and collaborating with cross-functional teams to deliver high-quality data solutions in a regulated healthcare environment.



This is a hands-on engineering role ideal for someone who enjoys building data infrastructure, working with modern cloud data platforms, and contributing to the architecture and performance of large-scale systems.

Responsibilities

Data Engineering & Platform Development

Build and maintain reliable, scalable data pipelines for batch and streaming data. Work with technologies like Apache Spark, Databricks, Snowflake, Airflow, and dbt to ingest, transform, and manage data across cloud environments. Contribute to data modeling, quality checks, and data optimization initiatives. Implement CI/CD pipelines, monitoring, and observability tools to ensure platform reliability.

Data Quality, Security & Compliance

Support data governance policies in collaboration with compliance and security teams. Implement access control, encryption, and audit logging aligned with HIPAA, GDPR, and internal data policies. Contribute to metadata management, data cataloging, and lineage tracking practices.

Collaboration

Work closely with data scientists, AI engineers, product managers, and clinical informatics teams to understand data requirements and deliver solutions. Participate in design and code reviews; contribute to team standards and best practices. Help integrate healthcare data sources (FHIR, HL7, CCDA) into the platform with guidance from senior team members.

Learning & Innovation

Stay current on data engineering tools and trends in cloud-native architectures. Prototype new tools and frameworks (e.g., Delta Lake, Apache Iceberg) under guidance to improve platform capabilities.

Qualifications

Education & Experience

Bachelor's or Master's degree in Computer Science, Engineering, or related field. 8-12 years of experience in software or data engineering roles, with at least 3 years working on large-scale data systems.

Technical Skills

Proficiency in Python, SQL, and Spark or equivalent distributed processing frameworks. Experience working with cloud platforms like AWS, Azure, GCP, or Databricks/Snowflake. Solid understanding of data modeling, performance tuning, and cost optimization for cloud-native data pipelines. Familiarity with healthcare data formats (FHIR, HL7, etc.) is a plus but not mandatory.

Professional Attributes

Strong problem-solving and debugging skills. Effective communication skills for collaborating across engineering and non-technical teams. * Self-starter who takes ownership and delivers reliable, well-tested solutions.