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Remote Data Engineering Jobs in Oviedo, FL (NOW HIRING)

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Strong software engineering skills in at least one language commonly used for data and services (e ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Remote Commissioning Engineer III Company Overview At Mitsubishi Power, we're not just building ... engineering, IT, cybersecurity, and project management. * Support data connectivity and system ...

This opportunity is remote and/or hybrid-friendly that can be performed from a wide range of ... Analyze data and review project work products, including site specific technical data, engineering ...

Frameworks: Nest.js, React.js * Data & Messaging: PostgreSQL, Kafka, Redis, Redshift ... Experience managing distributed or remote-first teams. * Strong background in distributed systems ...

Frameworks: Nest.js, React.js * Data & Messaging: PostgreSQL, Kafka, Redis, Redshift ... Experience managing distributed or remote-first teams. * Strong background in distributed systems ...

This position is remote and/or hybrid-friendly and can be performed from a wide range of locations ... Analyze and review project work products, including technical data, engineering calculations ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

You'll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and ...

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Showing results 1-20

Remote Data Engineering information

See Oviedo, FL salary details

$37.8K

$110.1K

$150.6K

How much do remote data engineering jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote data engineering in Oviedo, FL is $110,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $116,700.00 per year, depending on experience, location, and employer.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

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

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Oviedo, FL?

The most popular types of Data Engineering jobs in Oviedo, FL are:

What are popular job titles related to Remote Data Engineering jobs in Oviedo, FL?

For Remote Data Engineering jobs in Oviedo, FL, the most frequently searched job titles are:

What cities near Oviedo, FL are hiring for Remote Data Engineering jobs?

Cities near Oviedo, FL with the most Remote Data Engineering job openings:

Infographic showing various Remote Data Engineering job openings in Oviedo, 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 $110,065 per year, or $52.9 per hour.

Senior Data Solutions Analyst: Operational Data & Reporting team

Orlando, FL • On-site, Remote


Liberty Mutual
Insurance Services • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 161 frontline employees who took The Breakroom Quiz

50th of 315 rated insurance

People enjoy working here

Good employer

Recommended by students


$80K - $101K/yr

Full-time

Re-posted 10 days ago


Job description

Description

Ensuring that data is a competitive differentiator for our enterprise, the USRM Data Office sets strategic data product visions, governs data for quality and compliance, develops best in class data and reporting solutions, and continuously seeks to optimize the value that data creates for our customers and company. Our team includes data analysts, data stewards, data strategists, and data product owners - performance-driven individuals who make sure that data is appropriately leveraged across every layer of our business.

The Operational Data & Reporting team within USRM Data Office is seeking a Senior Data Solutions Analyst focusing on scalable data & reporting solutions and insights for a range of stakeholders within our Direct Distribution and Partnerships reporting team.

This position may have in-office requirements dependent upon candidate location

Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote.

Responsibilities:

  • Design and develop scalable data solutions with a focus on reusability that enable effective self-service data consumption and can describe their value to the customer.
  • Independently works on prototyping/developing data solutions that meet the needs of the organization and business customers. Coding scalable proof-of-concepts and solutions.
  • Stay up to date with advancements in data engineering, evaluate new tools and recommend adoption where appropriate.
  • Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation)
  • Designs proof-of-concept solutions utilizing and advanced understanding of multiple coding languages to meet technical and business requirements with an ability to perform iterative solution testing to ensure specifications are met.
  • Strive to become a technical leader and mentor for the team, providing assistance & guidance to junior team members
  • Optimize and tune data infrastructure for performance, scalability, reliability and cost-efficiency
  • Prioritizes efforts based on customer value and can set expectations for deliverables of high complexity.
  • Ensure data solutions include activities and deliverables required to achieve high data quality and displays a strong understanding of complex, multi-tier, multi-platform systems, applying principles of metadata, lineage, business definitions, compliance and data security to project work.

The ideal candidate will:

  • Have strong technical aptitude with data manipulation, data wrangling and Reporting tools (SQL, Power Bi, SAS, Python cloud computing: AWS and Snowflake).
  • Demonstrate 3+ years of experience building production data pipelines, data solutions and Power Bi Dashboards.
  • Possess hands-on experience with data quality testing frameworks and practices,and experience implementing automated data tests and validation.
  • Have excellent communication skills and the ability to work with technical and non-technical stakeholders.
  • 3-5+ years' experience in coding for data management, data warehousing, or other data environments, including, but not limited to, ETL & scripting languages (Python)
  • 3-5+ years' experience with top quadrant Business Intelligence tools. Demonstrated technical knowledge and skills in coding languages and business intelligence tools (e.g., SQL, Power BI SAS, Python) and interest in expanding knowledge in this space.
  • Must possess strong analytical, strategic, project management, decision-making and problem-solving skills.
  • Direct Distribution domain knowledge preferred but not required.
  • Demonstrates a comprehensive understanding of new technologies as needed to progress initiative and ability to adapt
  • Able to describe value and support the prioritization of data solutions.
  • Able to organize and address customer pain points.
Qualifications
  • Strong written and oral communication skills required
  • Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred
  • Master`s in same or related disciplines strongly preferred
  • 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
Employment Type: FULL_TIME

Liberty Mutual logo

About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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What Liberty Mutual employees say

Pay

Benefits

Hours and flexibility

Workplace

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