Title: Principal Data EngineerBangalore | IndiaInCommon is hiring for a US based healthtech company on a mission to provide dignified, high quality care to patients with complex health needs. The company delivers primary, behavioral, and social care through a combination of at-home and virtual care, supported by 24/7 access to dedicated care teams. Powered by technology, evidence-based care models, and strong partnerships across the healthcare ecosystem, the company is focused on improving health outcomes and addressing long standing gaps in care.

About the role:As a Principal Data Engineer, you will be:A mission-critical, early part of our growing team (and company)Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations, to rewire health care: Your choices will matter, and you will work across various teams to help execute the choices.Drive the change in healthcare: You will build the products to integrate highly fragmented and dispersed healthcare services as an end-to-end experience.Be part of building a great engineering culture, maintaining the balance and right tradeoff for building products for speed and tech debt.

Desired skills and experience:Required:7+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics,



Information Systems or another quantitative fieldYou are entrepreneurial and mission-driven and can present your ideas with clarity and confidence clarity and confidenceAdvanced working SQL knowledge and experience working with relational databasesExperience building and optimizing ‘big data’ data pipelines, architectures, and data sets. A definite plus with healthcare experienceExperience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvementStrong analytic skills related to working with unstructured datasetsBuild processes supporting data transformation, data structures, metadata, dependency, and workload managementA successful history of manipulating, processing, and extracting value from large disconnected datasetsWorking knowledge of message queuing, stream processing, and highly scalable ‘big data’ data storesStrong project management and organizational skillsExperience supporting and working with cross-functional teams in a dynamic environment

Tech Stack:The following is a list of software/tools that would be nice to have, but not required:Experience with cloud-based data warehouse: SnowflakeExperience with relational SQL and NoSQL databasesExperience with object-oriented/object function scripting languages: Golang, Python, Java, C++, Scala, etc.Experience with big data tools: Spark, Kafka, etc.Experience with data pipeline and workflow management tools like Airflow





Responsibilities will include:Be a data champion and seek to empower others to leverage the data to its full potentialUnderstand our complex data ecosystemWork with the product team and stakeholders to translate business requirements for data across the company into a technical roadmap and architecture for the platformAct as the leading data domain expert and owns platform data architectureLead the technical design and implementation of reliable, scalable, and effective data infrastructure, data-driven products, and software solutions for external and internal customersProvide technical leadership to define overall data engineering best practices, standards, and architectural approaches and drive technical excellence. Identify design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Create and maintain optimal data pipeline architecture with high observability and robust operational characteristicsAssemble large, complex data sets that meet functional / non-functional business requirementsBuild the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQLWork with stakeholders, including the Executive, Product, Clinical, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs.Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader

📌 Principal Data Engineer (Mumbai)
🏢 InCommon
📍 Mumbai