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Remote Data Engineer Jobs in Orlando, FL (NOW HIRING)

4 Corner Resources

Data Engineer

Lake Mary, FL · Remote

$60 - $72/hr

Data Engineer 4 Corner Resources is hiring Data Engineers for a leading healthcare organization ... Remote (Quarterly onsite meetings) * Pay Rate: $60-$72/hr * Duration: 6-month contract-to-hire

4 Corner Resources

Data Engineer

Lake Mary, FL · Remote

$60 - $72/hr

Data Engineer 4 Corner Resources is hiring Data Engineers for a leading healthcare organization ... Remote (Quarterly onsite meetings) * Pay Rate: $60-$72/hr * Duration: 6-month contract-to-hire

MHI

Engineer III, Remote Commissioning

Lake Mary, FL · On-site +1

Remote Commissioning Engineer III Company Overview At Mitsubishi Power, we're not just building ... Monitor plant operating data and alarms to identify issues proactively. * Lead troubleshooting and ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest ...

MHI

Senior Engineer, Remote Commissioning

Lake Mary, FL · On-site +1

$91K - $125K/yr

Senior Engineer, Remote Commissioning Company Overview At Mitsubishi Power, we're not just building ... Perform advanced diagnostics and analysis of DCS, historian, and monitoring system data across gas ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Orlando, FL

Remote Data Engineer information

See Orlando, FL salary details

$41.5K

$121.1K

$165.7K

How much do remote data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote data engineer in Orlando, FL is $121,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $128,400.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Orlando, FL?

The most popular types of Data Engineer jobs in Orlando, FL are:

What are popular job titles related to Remote Data Engineer jobs in Orlando, FL?

For Remote Data Engineer jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Orlando, FL look for?

The top searched job categories for Remote Data Engineer jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Remote Data Engineer jobs?

Cities near Orlando, FL with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Orlando, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $121,092 per year, or $58.2 per hour.

Data Engineer

4 Corner Resources

Lake Mary, FL • Remote

$60 - $72/hr

Contractor

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

Job description

Data Engineer

4 Corner Resources is hiring Data Engineers for a leading healthcare organization. This is a chance to join a fast-moving, technology-driven team where your work directly keeps critical systems running for a large-scale healthcare operation.

Data Engineer Responsibilities:

  • Build and maintain data acquisition, integration, and migration workflows
  • Design and implement data staging, ingestion, preparation, provisioning, and destruction processes
  • Support production data pipelines with a focus on stability and fast issue resolution
  • Develop, test, and maintain data architectures aligned to business and technical requirements
  • Identify and implement improvements to data reliability, efficiency, and quality
  • Collaborate with product, analytics, and business stakeholders to translate requirements into data solutions

Data Engineer Qualifications:

  • Experience building and maintaining data pipelines
  • Strong Java or Python skills
  • Working knowledge of Big Data systems, automation, and security
  • Production cloud experience
  • Advanced SQL skills
  • Working knowledge of AWS
  • Hands-on PySpark experience
  • High School Diploma or GED required

Data Engineer Preferred Qualifications:

  • Bachelor's degree in computer engineering or related field
  • Experience leading data transformation initiatives from on-premise to cloud, ideally in a healthcare setting
  • Experience working in an Agile environment as a Data Engineer
  • Hands-on AWS experience with Redshift, Spectrum, and S3
  • Knowledge of the healthcare industry or provider-sponsored health insurance systems
  • Strong analytical, problem-solving, and cross-functional communication skills

Data Engineer Details:

  • Location: Lake Mary, FL or New York City, NY
  • Schedule: Remote (Quarterly onsite meetings)
  • Pay Rate: $60-$72/hr
  • Duration: 6-month contract-to-hire

Apply