Senior Member of Technical Staff

Benefits

Parental leave

14 weeks From the posting source

Non-birth-parent leave

14 weeks From the posting source

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source

Seniority

Senior From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Member of Technical Staff BENGALURU, KARNATAKA, India, IN Senior Software Engineer (IC3) - Lakehouse / Batch Data Platform (Oracle Health Data Intelligence, HDI) Location: Bangalore, India About the Role Oracle Health Data Intelligence (HDI) is hiring a Senior Software Engineer (IC3) to help build and evolve our next-generation Data Platform powering intelligent AI agents at scale. This role is focused on lakehouse and batch processing -designing reliable, scalable ETL/ELT pipelines and foundational data platform services on OCI to ingest, transform, curate, and serve high-quality healthcare data for analytics and AI workloads. You'll work closely with platform engineers, data engineers, and applied AI teams to deliver durable, governed datasets and platform capabilities that enable downstream product experiences. Key Responsibilities Build and operate batch-first ETL/ELT pipelines that ingest and transform data into curated lakehouse layers (e.g., raw → refined → curated). Design scalable data processing jobs using distributed compute frameworks (e.g., Spark/Beam) with strong attention to correctness, performance, and cost. Contribute to the architecture and evolution of our data lakehouse , including data layout/partitioning, compaction strategies, schema evolution, and backfills/reprocessing. Develop and maintain platform components for metadata management , dataset publishing, and pipeline orchestration. Implement data quality validation , lineage/metadata capture, and operational best practices (SLAs/SLOs, alerting, runbooks, auditing). Optimize pipelines for reliability and efficiency in a distributed environment (idempotency, retries, incremental loads, late-arriving data handling). Participate in code reviews, design discussions, and technical planning; collaborate across teams to deliver end-to-end solutions on OCI. Required Qualifications 4-7 years of relevant industry

Read the full description at careers.oracle.com. FewerJobs shows a preview and links to the original posting.