Staff Data Software Engineer

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.