Comm Ops Data Engineer

Johnson & Johnson

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $79,000–$127,650 / yr
Employment: Full-time
Posted: 127 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $167k

This role $103k

$64k $223k

below market most similar roles pay here above market

This role pays less than 87% of similar roles. Most pay $126,800–$208,000 — the blue band above. At the midpoint, this role pays about $103k versus about $167k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 46 open roles on FindRole.

Listed pay typically runs $113,000–$201,250 across 38 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Comm Ops Data Engineer

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The Comm Ops Data Engineer - Shockwave Medical joins the Data Engineering team to support the development and commercialization of Intravascular Lithotripsy for treating complex calcified cardiovascular disease. Reporting to the Sr. Manager, Data Engineering, the successful candidate will bridge data knowledge with end-user needs to create accessible, well-structured data for reporting, advanced analytics, and AI modeling. Daily responsibilities include developing and maintaining SQL-based ETL pipelines, creating semantic models and views within Snowflake, and monitoring data systems for performance. The role requires expertise in SQL, ETL tools, and Snowflake, with preferred experience in Streamlit, Power BI, and scripting languages like Python or R. The engineer will also ensure data governance, security, and compliance while collaborating with IT to maintain seamless data flow across systems.

Skills

SQL ETL Snowflake Python R Power BI Streamlit Data Pipelines Data Modeling Data Visualization Data Governance DBaaS Data Engineering Data Science

What you'll do

Develop and maintain SQL-based data pipelines to extract, transform, and load data from enterprise warehouses.
Build semantic models and views within Snowflake to support advanced self-service analytics.
Translate end-user needs into well-structured data for reporting, advanced analytics, and AI modeling.
Monitor data systems to implement enhancements that improve performance and operational efficiency.
Coordinate with IT to ensure seamless data flow across systems while maintaining security and availability.
Experiment with new data engineering techniques and tools to drive innovation and process improvements.

What we're looking for

2+ years of experience as a Data Engineer or similar technical role.
Expertise in SQL and ETL tools for data transformation and warehouse management.
Experience working with Snowflake.
Understanding of Power BI or other business intelligence tools.
Familiarity with data governance, security, and compliance best practices.
Understanding of Python, R, or other scripting languages.
Streamlit experience a plus (preferred).
Biotech, Medical Device, Medtech, or Life Sciences experience a plus (preferred).

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