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

Senior Engineer, Remote Commissioning

Lake Mary, FL ยท On-site +1

$91K - $125K/yr

Perform advanced diagnostics and analysis of DCS, historian, and monitoring system data across gas ... Serve as senior technical interface with site teams, engineering, product support, IT, project ...

Senior Transmission Line Engineer - REMOTE

Orlando, FL ยท Remote

$97K - $134K/yr

Highly motivated engineering leader who takes pride in delivering exceptional services and ensuring ... Prepare and review technical documentation such as specifications, data sheets, RFQs, bid ...

Reporting to the Engineering Manager, South East Region. This is a remote role but would like the ... data to the client * Maintaining and enhancing relationships with internal groups and external ...

Industrial Wastewater Engineer

Orlando, FL ยท On-site +1

$95K - $160K/yr

... engineering, and technology. Every day calls for creativity, innovation, and agile problem-solving. #LI-MJ1 Actual compensation for this U.S.-based remote position will be based upon a variety of ...

Showing results 21-40

Remote Data Engineering information

See Orlando, FL salary details

$41.5K

$121.1K

$165.7K

How much do remote data engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data engineering 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 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 Orlando, FL?

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

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

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

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

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

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

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

Infographic showing various Remote Data Engineering job openings in Orlando, FL as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $121,092 per year, or $58.2 per hour.

Senior Engineering Delivery Manager

F & I Sentinel Llc

Winter Park, FL โ€ข Remote

$140K - $160K/yr

Full-time

Posted 25 days ago


Job description

LOCATION:

Remote (Atlanta Preferred)

REPORTS TO:

Vice President of Engineering

KEY RELATIONSHIPS AND TEAM:

The Engineering Delivery Manager works collaboratively and directly with Engineering leadership, Product Management, Quality Assurance, Infrastructure, Customer Success, Support, Operations, Implementation, company leadership, and external technology partners.

THE OPPORTUNITY:

F&I Sentinel is seeking an experienced Engineering Delivery Manager to help establish a more predictable, transparent, and scalable software-delivery organization. This individual will be the operational partner to the Vice President of Engineering and will coordinate planning, delivery visibility, risk management, dependencies, and release readiness across Product and Engineering. The successful candidate will combine delivery leadership, practical software-development knowledge, data-driven judgment, and exceptional organization. This is a senior individual-contributor role with the opportunity to help shape the engineering operating model. The position is remote based with limited travel required.

Specifically, the Engineering Delivery Manager will have responsibility to:

  • Enable predictable, high-quality delivery by establishing scalable planning processes, delivery governance, and cross-functional coordination that empower Product and Engineering teams to execute with confidence, consistency, and transparency while increasing leadership effectiveness without unnecessary bureaucracy.
  • Establishes and leads a predictable planning rhythm so engineering commitments are realistic, achievable, and consistently met.
  • Drive effective execution by improving the quality and outcomes of delivery meetings through thoughtful preparation, clear decision-making, documented action items, and consistent follow-through.
  • Coach Product and Engineering teams on practical delivery best practices that strengthen execution while maintaining a lean, low-bureaucracy operating model.
  • Gives leadership an accurate, current view of delivery health so decisions are made on real data rather than surprises.
  • Surfaces risk and dependencies early enough for the organization to act on them, rather than react to them.
  • Ensures releases go out ready, with scope, risk, and operational readiness confirmed before go-live.
  • Keeps delivery systems up to date, so status, ownership, and forecasts can be trusted by leadership.
  • Turns capacity and quarterly/sprint planning into a disciplined, repeatable cadence, so delivery commitments reflect real team capacity and hold up once work is underway.
  • Aligns Product and Engineering around realistic trade-offs and coaches teams toward practical, sustainable delivery habits.
  • Converts lessons learned into repeatable practices so delivery capability scales with the business.
  • Perform other duties as assigned.

Professional Qualifications:

The following knowledge, skills, education, and experiences are required:

  • 5+ years of experience in engineering delivery, technical program management, engineering operations, software program management, Scrum leadership, or a similar role.
  • Demonstrated experience coordinating complex software initiatives across multiple teams or functions.
  • Strong planning, sequencing, dependency, risk, and delivery-forecasting skills.
  • Experience facilitating planning, refinement, delivery reviews, retrospectives, and release readiness.
  • Practical knowledge of Scrum and Kanban, with the judgment to adapt practices to organizational needs.
  • Strong working knowledge of Jira and Confluence, including boards, workflows, dashboards, filters, and reporting.
  • Experience using delivery metrics such as cycle time, throughput, predictability, work in progress, and milestone health.
  • Working knowledge of software lifecycles, testing, releases, environments, APIs, integrations, CI/CD, and technical debt.
  • Ability to engage credibly with engineers without needing to perform development or make architecture decisions.
  • Experience partnering with Product and Engineering leaders to translate priorities into executable plans.
  • Strong facilitation skills and the ability to drive decisions, ownership, and follow-through.
  • Demonstrated ability to influence stakeholders without relying on direct authority.
  • Excellent verbal, written, presentation, listening, and executive-communication skills.
  • Strong analytical, organizational, and problem-solving abilities.
  • Ability to identify and communicate delivery risks early, directly, and constructively.
  • Ability to manage multiple priorities in a fast-paced and sometimes ambiguous environment.
  • Ability to work independently while collaborating closely across functions.
  • A hands-on approach to reporting, workflows, facilitation, and follow-through.
  • Demonstrated interest and potential to grow into broader engineering-operations leadership.

The following knowledge, skills, and experiences are preferred, but not required:

  • Bachelor’s degree or equivalent relevant experience.
  • Experience with enterprise SaaS, fintech, financial services, automotive technology, or another regulated industry.
  • Experience supporting API-enabled, integration-heavy, data-intensive, or partner-delivered products.
  • Experience coordinating distributed, remote, outsourced, or offshore engineering teams.
  • Experience in a growing company where processes and structures are evolving.
  • Experience improving an engineering-delivery, engineering-operations, or technical-program-management model.
  • Agile, Scrum, project-management, or program-management certification.

Why Consider Joining FIS now?

  • The business is positioned for continued growth.
  • F&I Sentinel provides technology and services that help protect financial institutions, businesses, and consumers.
  • The role offers the opportunity to shape a critical engineering capability and improve company execution.
  • The successful candidate will have meaningful exposure to Product, Engineering, company leadership, strategic initiatives, and external partners.
  • This is an opportunity to combine hands-on delivery leadership with potential growth into broader engineering operations.
  • F&I Sentinel values ideas, initiative, accountability, transparency, collaboration, and continuous improvement.
  • The company provides opportunities for professional development and career advancement.

The following behaviors are required:

  • Delivery Ownership – Creates the conditions for reliable execution, drives commitments through completion, and identifies obstacles early without taking ownership away from delivery teams.
  • Relationship Management – Builds productive relationships across Product, Engineering, Quality Assurance, Operations, and leadership. Earns trust and remains constructive during difficult situations.
  • Emotional Intelligence – Demonstrates self-awareness, empathy, sound judgment, and the ability to understand and manage differing perspectives.
  • Communication – Communicates clearly for the audience, listens carefully, asks effective questions, and presents delivery information and trade-offs accessibly.
  • Collaboration – Works effectively across functions and external partners, seeks relevant input, and maintains accountability for progress and decisions.
  • Influence – Builds alignment and drives appropriate action without relying on formal authority. Handles disagreement professionally.
  • Organization and Planning – Sets priorities, anticipates dependencies, and maintains accurate documentation and delivery data. Brings clarity to ambiguity.
  • Transparency – Surfaces delivery health and risks early and honestly, with context and recommended options.
  • Problem Solving – Defines problems clearly, gathers relevant information, evaluates alternatives, and recommends practical solutions.
  • Adaptability – Applies delivery practices pragmatically and remains effective as processes, priorities, and organizational needs evolve.
  • Integrity – Acts ethically, protects confidential information, keeps commitments, and maintains confidence in delivery information.
  • Teamwork – Balances individual accountability with shared success, welcomes feedback, supports colleagues, and prioritizes company outcomes.
  • Continuous Improvement – Improves planning, predictability, reporting, tooling, automation, and coordination by converting lessons into repeatable practices.
  • Leadership Potential – Helps build a maturing delivery capability through expertise, ownership, relationships, data, and hands-on execution.

F&I Sentinel is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status, or other characteristics protected by law.