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Remote Lead Data Engineer Jobs in Stuart, FL (NOW HIRING)

Staff Data Engineer

Palm Beach Gardens, FL · On-site +1

$108K - $130K/yr

Data Engineering Job Category: Scientific/Technology All Job Posting Locations: Palm Beach Gardens ... Lead SDLC project deployment process by reviewing system architecture, ensure automation of end-to ...

Staff Data Engineer

Palm Beach Gardens, FL · On-site +1

$108K - $130K/yr

Data Engineering Job Category: Scientific/Technology All Job Posting Locations: Palm Beach Gardens ... Lead SDLC project deployment process by reviewing system architecture, ensure automation of end-to ...

Environmental Engineer

Jupiter, FL · Remote

$150K - $300K/yr

... remote position offers a competitive salary range of $150,000 to $300,000 annually. You will lead ... for data analysis and planning. * • Prepare detailed engineering drawings and designs using ...

Lead Environmental Engineer - Solid Waste

Jupiter, FL · On-site +1

$100K - $132K/yr

... remote arrangement. Primary Responsibilities: * Serve as the primary technical resource for solid ... If you would like more information about how your data is processed, please contact us.

Lead Environmental Engineer - Solid Waste

Jupiter, FL · On-site +1

$100K - $132K/yr

... remote arrangement. Primary Responsibilities: * Serve as the primary technical resource for solid ... If you would like more information about how your data is processed, please contact us. apply for ...

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Remote Lead Data Engineer information

See Stuart, FL salary details

$37.5K

$109.3K

$159.3K

How much do remote lead data engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for remote lead data engineer in Stuart, FL is $109,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $119,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Lead Data Engineer, and why are they important?

To thrive as a Remote Lead Data Engineer, you need advanced expertise in data architecture, ETL processes, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), big data frameworks (such as Spark or Hadoop), and relevant certifications are highly valued. Strong leadership, communication, and problem-solving skills help you effectively manage distributed teams and collaborate cross-functionally. These skills ensure robust data solutions, seamless team coordination, and the ability to deliver scalable analytics infrastructure remotely.

How does a Remote Lead Data Engineer typically collaborate with cross-functional teams while working remotely?

As a Remote Lead Data Engineer, collaboration with cross-functional teams—such as data scientists, analysts, product managers, and software engineers—is often facilitated through virtual meetings, project management tools, and shared documentation platforms. Effective communication is crucial, as you’ll be responsible for aligning data architecture with business goals and ensuring that stakeholders are regularly updated on project progress. Many organizations use agile methodologies to structure work, which means you’ll participate in regular stand-ups, sprint planning, and reviews with distributed teams. Building strong relationships and maintaining transparency are key to overcoming remote collaboration challenges and driving project success.

What is a Remote Lead Data Engineer?

A Remote Lead Data Engineer is a senior-level professional responsible for designing, building, and maintaining large-scale data systems while working remotely. They oversee data engineering teams, establish best practices, and ensure data pipelines are efficient and reliable. This role combines hands-on technical tasks with leadership responsibilities, such as mentoring junior engineers and collaborating with other departments. Remote Lead Data Engineers must be adept at communication and project management to coordinate effectively with distributed teams.
What are popular job titles related to Remote Lead Data Engineer jobs in Stuart, FL? For Remote Lead Data Engineer jobs in Stuart, FL, the most frequently searched job titles are:
What job categories do people searching Remote Lead Data Engineer jobs in Stuart, FL look for? The top searched job categories for Remote Lead Data Engineer jobs in Stuart, FL are:
What cities near Stuart, FL are hiring for Remote Lead Data Engineer jobs? Cities near Stuart, FL with the most Remote Lead Data Engineer job openings:

Staff Data Engineer

Jj

Palm Beach Gardens, FL • On-site, Remote

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Palm Beach Gardens, Florida, United States of America

Job Description:

Employer: Medical Device Business Services, Inc.

Job Title: Staff Data Engineer

Job Code: A011.5402

Job Location: Palm Beach Gardens, FL

Job Type: Full-Time

Job Duties: Design, build, and maintain robust, scalable, and efficient data pipelines that involve data from Last Mile Orthopedics Supply Chain domain. Integrate data from diverse sources, including but not limited to, databases, external file systems, APIs, ensuring data consistency and reliability. Develop and maintain data models and schemas that support efficient data storage, retrieval, and analytics. Manage and optimize databases, ensuring their performance, availability, and security. Lead SDLC project deployment process by reviewing system architecture, ensure automation of end-to-end data pipe, perform code peer reviews by incorporating industry standard best practices. Manage testing phase (unit test, system test), project deployment activities, and create technical documentation while collaborate with Scrum team and SQA, all within an Agile framework. Mentor junior data engineers, providing guidance on coding best practices and data pipeline design to streamline development. Demonstrated business knowledge in Last Mile Orthopaedic Supply Chain processes- Field inventory and production management in supply chain, Inventory Entitlement & Allocation Models, Inventory re-allocation & reverse logistics models, Backorder & STEM processes, Product Lifecycle Management-Product Cannibalization, Fixed Asset Construction in Progress Cost Tracking, Supply Attainment. Build and manage Azure VPC architecture to create a robust, secure, and scalable cloud infrastructure that enables seamless end-to-end automated data flow. Leverage Azure technology stack to redesign sustainable and cost-effective solutions. Supervise projects that include complex data pipeline integration, providing innovative alternatives for their construction and optimization. Leverage git branching strategies to improve collaboration, streamline code reviews, and optimize deployment in data workflows.

May telecommute from within Florida.

Requirements: Employer will accept a Master's degree in Computer Science, Data Science, Software Engineering, Business Analytics and Information Systems, or related field and 5 years of experience in the job offered or in a Senior Data Engineer-related occupation.

Position requires experience with:

1. Data architecture, data modelling ,data integration and data engineering tools - Databricks, Azure Data Factory, Prophecy IO, Alteryx, Apache Nifi, Service Oriented Architecture (SOA), and Oracle Service Bus;

2. Programming languages PySpark, SQL, Python, and R;

3. SQL optimization and database management systems MS SQL Server, MySQL, PostgreSQL, Oracle, Redshift, SQLite, and Azure SQL;

4. Cloud platforms Azure data Factory, Azure Databricks, Snowflake, and Google Cloud Platform;

5. UX and UI design and development of Business Intelligence data visualization and exploration tools using Power BI, Tableau, and Qlik;

6. Agile SDLC including scrums, sprints, and retrospectives;

7. DevOps tools and practices including Jenkins and Terraform;

8. Atlassian tools Bitbucket, JIRA, and Confluence;

9. Transactional ERP systems SAP OTC, SAP B2B, JDE 8.12, SAP Anspach, and planning systems APO/OMP;

10. Managing Azure VPC resources, network settings - subnets, private endpoints, and security groups for secure, scalable cloud environment;

11. API Integration, including RESTful and SOAP services, authentication, and error handling;

12. Data cataloging tool Oval Edge;

13. Last Mile Supply Chain Data Engineering; and

14. Orthopedic Last Mile Supply Chain processes including Field inventory and production management in supply chain, entitlement, safety stock, inventory re-allocation, backorder, product lifecycle management, product cannibalization, capital expenditure and Construct in Progress, and supply attainment.

This job posting is anticipated to close on 7/2/2026.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

This position is eligible to participate in the Company's long-term incentive program.

Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:

Vacation -120 hours per calendar year

Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year

Holiday pay, including Floating Holidays -13 days per calendar year

Work, Personal and Family Time - up to 40 hours per calendar year

Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child

Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year

Caregiver Leave - 80 hours in a 52-week rolling period10 days

Volunteer Leave - 32 hours per calendar year

Military Spouse Time-Off - 80 hours per calendar year

This position is eligible for benefits to include medical, dental, vision and time off, as well as any others as provided for in the applicable Collective Bargaining Agreement.

For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

Required Skills:

Preferred Skills: