Lead Data Engineer

Johnson & Johnson

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $170,000–$190,000 / yr
Posted: 6 days ago
Closes: Jul 26, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k

This role $180k

$130k most similar roles pay here $220k

This role pays more than 51% of similar roles. Most pay $138,725–$211,200 — the shaded band above. At the midpoint, this role pays about $180k versus about $175k 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 63 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 61 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Lead Data Engineer

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The Lead Data Engineer role at Johnson & Johnson Services, Inc. involves leading a portfolio of data engineering projects and collaborating with multi-functional teams including business analysts, product managers, and data scientists to define resilient data analytics systems for large-scale data processing in both batch and real-time modes. Day-to-day responsibilities include driving the adoption of modern data engineering principles, coaching engineers through code reviews and pair programming, and optimizing existing infrastructure to enhance efficiency and scalability. The ideal candidate will have expertise in defining architecture, incorporating machine learning models into data platforms, and working with large datasets. Required skills encompass a Bachelor's degree in Computer Science or Engineering plus five years of relevant experience, proficiency in modern data engineering tools and languages such as Apache Hadoop, Spark, Kafka, and Python, and strong technical leadership abilities.

Skills

Python SQL Kafka Hadoop Spark Airflow Docker Kubernetes AWS Azure CI/CD Git Scalability Optimization Data Pipelines Big Data ETL Machine Learning Cloud Services DevOps

What you'll do

Define and implement resilient data analytics systems for large-scale data processing.
Drive adoption of modern data engineering principles to enhance product quality and reliability.
Provide technical leadership through coaching, mentoring, and conducting code reviews.
Integrate machine learning models into the data platform to generate intelligent insights.
Optimize existing data infrastructure to reduce costs and improve efficiency and scalability.

What we're looking for

5+ years of experience as a Lead Data Engineer or related role
Expertise in designing and implementing resilient data analytics systems
Proficiency in modern data engineering principles, patterns, and best practices
Strong technical leadership skills with coaching and mentoring abilities
Experience optimizing data infrastructure for cost reduction and scalability
Ability to work closely with business analysts, product managers, and data scientists
Knowledge of incorporating ML models into data analytics platforms

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