Comm Ops Data Engineer

Johnson & Johnson

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $79,000–$127,650 / yr
Posted: 6 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $167k

This role $103k

$64k most similar roles pay here $220k

This role pays less than 92% of similar roles. Most pay $132,550–$202,000 — the shaded 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 61 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 58 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Comm Ops Data Engineer

Role Posting Log in to save

Johnson & Johnson seeks a Data Engineer to join its Comm Ops team within Shockwave Medical, focusing on cardiovascular medical technology. This role involves developing and maintaining SQL-based data pipelines for ETL processes from enterprise data warehouses, creating semantic models and views in Snowflake for advanced analytics, and collaborating with teams to understand data needs and provide technical solutions. The ideal candidate will have expertise in SQL, ETL tools, and experience with Snowflake and Power BI, along with knowledge of Python or R. Familiarity with biotech, medical devices, and data governance is preferred, as the position requires a strong background in data engineering to drive innovation and improve patient outcomes at scale.

Skills

SQL ETL Snowflake Power BI Python R Data Governance Data Security Data Compliance CI/CD Cloud Services Database Management Scripting Languages BI Tools Data Modeling Data Visualization Data Pipelines

What you'll do

Develop and maintain SQL-based data pipelines for ETL processes.
Create semantic models and views within Snowflake for advanced analytics.
Experiment with new data engineering techniques to drive innovation.
Monitor and enhance performance of data systems for efficiency.
Coordinate with IT to ensure seamless data flow across systems.
Provide technical solutions by understanding end users’ data needs.

What we're looking for

Bachelor’s degree and 2+ years of experience as a Data Engineer or similar role.
Expertise in SQL, ETL tools, and data warehouse management.
Experience with Snowflake and familiarity with Power BI or other business intelligence tools.
Understanding of data governance, security, and compliance best practices.
Ability to develop and maintain SQL-based data pipelines for reporting and analytics.

Save