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Lead Cybersecurity Product Engineer

About Providence

Providence, one of the US’s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, ‘Health for a better world’, Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services.

Providence has a network of 51 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US.

Providence India is bringing to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation of health systems for improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale.


Why Us?

  • Best In-class Benefits
  • Inclusive Leadership
  • Reimagining Healthcare
  • Competitive Pay
  • Supportive Reporting Relation

About the RoleWe are looking for a hands‑on Data Engineer to design, build, and operate robust data pipelines and platforms on Snowflake with Azure. You will use strong SQL, Python/PySpark, ADF pipelines, and modern data‑modeling practices to ingest data from diverse data sources, and enable AI/ML use‑cases via VectorDB indexing and embeddings. The role emphasizes reliability, performance, cost‑efficiency, and secure data operations in line with our enterprise platforms and standards.Key ResponsibilitiesDesign & build data pipelines on Snowflake and Azure (ADF, PySpark) to ingest data from REST APIs, files, and databases into curated zones.Model data optimized for analytics, reporting, and downstream applications.Develop embeddings & VectorDB indices to power semantic search/retrieval (e.g., generating embeddings and indexing into enterprise‑approved vector stores; integrate with pipeline orchestration).Own performance & cost optimization in Snowflake (SQL tuning, partitioning, caching, clustering, compute sizing).Implement CI/CD and DevOps practices (Git branching, automated deploys for ADF/Snowflake).Harden reliability (monitoring, alerting, retry logic, SLA tracking) and security/compliance (RBAC, secrets management, data governance, data lineage).Collaborate with stakeholders (product, analytics, and platform teams) to translate requirements into technical design and deliver incremental value.Must‑Have Qualifications4–7 years total experience in data engineering in large scale enterprise systemsSnowflake: Min 3 years of experience in Snowflake with exposure to warehouse configuration, schema design, performance tuning; stored procedures/tasks; loading strategies. Exposure to Snowflake Cortex AI.SQL/Python/PySpark: Design and implement scalable data processing solutions using SQL, Python, and distributed compute frameworks, including unit/integration tests.Azure & ADF: ADLS Gen2, ADF pipelines/activities, triggers, parameterization; monitoring & troubleshooting.Data modeling: Apply data modeling techniques, including medallion architecture (Bronze/Silver/Gold).API ingestion: designing resilient ingestion of REST/JSON, pagination, auth, rate‑limit handling.VectorDB & embeddings: Experience generating embeddings and building vector indices for retrieval‑augmented scenariosExposure to building knowledge graphs and Gremlin or Cypher graph query languages on CosmosDB/Neo4jVersion control & CI/CD: Git, pull requests, automated deployment pipelines.Maintain a results-oriented mindset with strong analytical and problem-solving skills.Good‑to‑HaveExperience in Healthcare IndustryPrior experience working on data migration projects.

Providence’s vision to create ‘Health for a Better World’ aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization’s success. This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law. In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others. We strive to address all forms of discrimination or harassment and provide a safe and confidential process to report any misconduct.

Contact our Integrity hotline also, read our Code of Conduct.

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