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Remote Data Center Mechanical Engineer Jobs in Boca Raton, FL

Career Renew

CAE/FEA Engineer

Pembroke Pines, FL · Remote

$170K - $235K/yr

Career Renew is recruiting for one of its clients a CAE/FEA Engineer - this is a fully remote role ... Provide deep-domain expertise in mechanical and systems engineering to ensure ML models are ...

Data Meaning

MicroStrategy Architect

Boca Raton, FL · On-site +1

US - Remote Position type: temporary - TDB Position Summary We are looking for a highly skilled ... The ideal candidate will work closely with business stakeholders, data engineering teams, and ...

Data Meaning

MicroStrategy Architect

Boca Raton, FL · Remote

US - Remote Position type: temporary - TDB Position Summary We are looking for a highly skilled ... The ideal candidate will work closely with business stakeholders, data engineering teams, and ...

Carrier

Sales Application Engineer

FL · On-site +1

$96K - $192K/yr

... the center of everything we do. For more information, visit corporate.carrier.com or follow on ... This role is remote in the United States, but the preferred candidate will sit in the Midwest and ...

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All JobsData Center Mechanical Engineer JobsRemote Data Center Mechanical Engineer JobsRemote Data Center Mechanical Engineer Jobs in Boca Raton, FL

Remote Data Center Mechanical Engineer information

See Boca Raton, FL salary details

$43.2K

$97.6K

$158K

How much do remote data center mechanical engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data center mechanical engineer in Boca Raton, FL is $97,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $120,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Center Mechanical Engineer vs Data Center Electrical Engineer?

AspectRemote Data Center Mechanical EngineerData Center Electrical Engineer
CredentialsBachelor's in Mechanical Engineering, certifications like LEED or HVAC licensesBachelor's in Electrical Engineering, certifications like PE, NICET, or LEED
Work EnvironmentDesigning HVAC, cooling, and mechanical systems for data centers, often remotely or on-siteDesigning electrical systems, power distribution, and backup systems, often on-site or remotely
Industry UsageCommonly employed in data center construction and maintenance projectsIntegral to data center power infrastructure and electrical system management

The Remote Data Center Mechanical Engineer focuses on mechanical systems like cooling and HVAC, ensuring optimal climate control for data centers. In contrast, the Data Center Electrical Engineer specializes in electrical power systems, including backup power and distribution. Both roles require technical certifications and are vital in data center design and operation, often working collaboratively to ensure efficient, reliable infrastructure.

What are some common challenges faced by remote data center mechanical engineers, and how can they be addressed?

Remote Data Center Mechanical Engineers often face challenges such as troubleshooting complex HVAC systems without being on-site, coordinating with local technicians for hands-on tasks, and ensuring efficient communication across time zones. To address these, engineers rely on real-time monitoring tools, detailed documentation, and regular virtual meetings with on-site staff. Building strong relationships with local teams and staying proactive with preventive maintenance planning can significantly improve operational efficiency and minimize downtime.

What are the key skills and qualifications needed to thrive as a remote data center mechanical engineer, and why are they important?

To thrive as a Remote Data Center Mechanical Engineer, you need a strong background in mechanical engineering, HVAC systems, and data center infrastructure, typically supported by a bachelor's degree in mechanical engineering and relevant experience. Familiarity with industry-standard design software like AutoCAD, Revit, and building management systems (BMS), as well as certifications such as LEED or PMP, is often required. Excellent problem-solving, communication, and remote collaboration skills help ensure effective project management and issue resolution from a distance. These competencies are crucial for maintaining optimal data center performance, minimizing downtime, and ensuring energy efficiency in a remote work environment.

What does a remote data center mechanical engineer do?

A Remote Data Center Mechanical Engineer is responsible for designing, monitoring, and maintaining the mechanical systems that support data centers, such as cooling, ventilation, and HVAC systems, often while working offsite. They ensure that the data center environment operates efficiently and reliably, preventing overheating and equipment failure. These engineers use specialized software and remote monitoring tools to analyze system performance, troubleshoot issues, and coordinate with on-site teams for repairs or upgrades. Their work is crucial for keeping servers and other IT infrastructure running smoothly and safely.
What are popular job titles related to Remote Data Center Mechanical Engineer jobs in Boca Raton, FL? For Remote Data Center Mechanical Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Remote Data Center Mechanical Engineer jobs in Boca Raton, FL look for? The top searched job categories for Remote Data Center Mechanical Engineer jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Remote Data Center Mechanical Engineer jobs? Cities near Boca Raton, FL with the most Remote Data Center Mechanical Engineer job openings:
Remote Data Center Mechanical Engineer jobs near you

Senior Data Engineer ID75059

AgileEngine

Boca Raton, FL • On-site, Remote

$100K - $136K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS to deliver high-performance data infrastructure. The role combines hands-on engineering with technical consulting responsibilities, translating business goals into data architecture roadmaps.
WHAT YOU WILL DO
- Design and implement Python Data Engineering solutions;
- Design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses;
- Design and implement robust ETL/ELT processes at scale using Python, incorporating modern pipeline orchestration tools like Airflow;
- Develop sophisticated ingestion workflows from diverse 3rd party APIs and data sources;
- Manage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high-performance data retrieval;
- Work with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics;
- Act as a technical consultant for stakeholders and leadership to gather requirements, understand business goals, and translate them into technical roadmaps;
- Work with Terraform and other tools to build AWS and on-prem infrastructure.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience;
- 5+ years of experience with Python (strong, hands-on Python experience is a must);
- 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB;
- 2+ years of experience with Big Data technologies (Spark, Snowflake);
- Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools;
- Deep understanding of Medallion Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures);
- Proven ability to work with 3rd party APIs for complex data ingestion tasks;
- Proficiency with modern Cloud platforms (AWS, GCP, Snowflake) and advanced SQL optimization;
- Exceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams;
- Excellence in optimizing complex data pipelines and troubleshooting data latency or consistency issues in massive datasets;
- A self-starter mindset, regularly investigating more efficient data architectures and AI development tools to improve pipeline performance;
- Taking pride in data integrity and the accuracy of the end-to-end pipelines and architectures you build;
- Strong communication skills for seamless global collaboration with stakeholders and distributed teams;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain;
- Documentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference;
- OpenSearch, Elasticsearch;
- AWS Sagemaker Studio, Jupyter for analyze data;
- Terraform;
- Scala.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

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