ZipRecruiter

Log In

2

Remote Data Engineer Jobs in Saint Cloud, FL (NOW HIRING)

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 ...

Tetra Tech

Civil Engineer III

Orlando, FL · On-site +1

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 ...

ICF

Senior Transmission Line Engineer - REMOTE

Orlando, FL · Remote

$97K - $134K/yr

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... Prepare and review technical documentation such as specifications, data sheets, RFQs, bid ...

Tetra Tech

Senior Civil Engineer

Orlando, FL · On-site +1

This position is remote and/or hybrid-friendly and can be performed from a wide range of locations ... This role will contribute to a diverse portfolio that includes federal, commercial, data center ...

MM International

Network Engineer

Orlando, FL · Remote

Remote (Must be in driving distance to Orlando for Quarterly travel) Network Engineer - 12-month ... Monitor network performance and analyze data to identify bottlenecks, latency issues, and other ...

JLL

Data Analytics, Technical Director

Orlando, FL · Remote

This is a remote position with up to 25% domestic travel. This role leads team management and ... Assists platform engineers, account personnel, and external clients with daily workflow ...

Wood Plc

Water Resources Engineer

Orlando, FL · Remote

$73K - $100K/yr

This role has the opportunity to be remote from any location within the US. Key Responsibilities ... Support Field Investigations including the collection and analysis of data used to support ...

next page

Showing results 1-20

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Saint Cloud, FL

Remote Data Engineer information

See Saint Cloud, FL salary details

$40.7K

$118.7K

$162.5K

How much do remote data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote data engineer in Saint Cloud, FL is $118,726.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $125,800.00 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 Saint Cloud, FL?

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

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Saint Cloud, FL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,726 per year, or $57.1 per hour.

Data Engineering Senior Consultant

Clarkston Consulting

Orlando, FL • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Key responsibilities

  • Support solution architects, software developers, data analysts, and data scientists on data and analytics initiatives

  • Serve in a lead capacity on client initiatives, collaborating with client stakeholders and technical teams to define and deliver data solutions

  • Design, develop, and optimize scalable data pipelines and architectures that support client business requirements

Job description

This job is posted in multiple locations. When not at a client site, consultants work from their home office. Relocation is not required.

Clarkston Consulting is seeking motivated, self-driven leaders who are energized by team results and interested in joining a firm that values its culture and people as its biggest strengths. Come join us as a Data Engineering Senior Consultant, and in this role, you will deliver creative business solutions to our market-leading clients in the life sciences, consumer products, and retail industries.

Together, we can find the answers to our clients' most challenging business problems through a combination of our industry expertise, business process knowledge, and consulting excellence.

What You'll Do 

As a Data Engineering Senior Consultant at Clarkston you will:

  • Support solution architects, software developers, data analysts, and data scientists on data and analytics initiatives
  • Serve in a lead capacity on client initiatives, collaborating with client stakeholders and technical teams to define and deliver data solutions
  • Design, develop, and optimize scalable data pipelines and architectures that support client business requirements
  • Develop and maintain data models and schemas to support analytics and reporting needs, including designing star and snowflake schemas and applying appropriate data modeling techniques
  • Translate business requirements into technical data solutions and communicate technical concepts clearly to both technical and non-technical client stakeholders
  • Ensure optimal data delivery architecture is consistent throughout ongoing projects
  • Be self-directed and comfortable supporting the data needs of multiple teams, systems, and products
  • Identify opportunities to improve data processes, scalability, performance, reliability, and automation
  • Lead, grow, and mentor a data engineering team in developing, maintaining, and monitoring data solutions for clients
  • Assist in defining client solutions, estimating work, supporting proposals, and managing solution delivery
  • Contribute to project planning, status communication, and other consulting activities throughout the engagement lifecycle

How You'll Grow
Beyond your day-to-day responsibilities, throughout your career at Clarkston you will:

  • Receive the support and mentorship of your Clarkston colleagues and leaders
  • Expand your existing skillset with internal and external professional development opportunities

Requirements

What We're Looking For:

An ideal Data Engineer Senior Consultant would have experience:

    • Assembling large, complex data sets that meet functional and non-functional business requirements
    • Designing and implementing scalable data architectures, pipelines, and data solutions
    • Applying data modeling concepts to create effective schemas, including star and snowflake schemas, based on business and analytical requirements
    • Working with stakeholders to understand business needs and translate those needs into data and technical solutions
    • Communicating recommendations, findings, and technical concepts effectively with client stakeholders and project teams
    • Identifying and implementing internal process improvements, including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability
    • Leveraging the appropriate infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies
    • Building analytics tools and data solutions that provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
    • Working with cross-functional stakeholders, including Product, Data, Design, and business teams, to address data-related technical issues and support data infrastructure needs
    • Working in a consulting environment where collaboration, problem-solving, adaptability, and strong client service are important to successful outcomes
    • Working directly with clients in a client-facing role, including leading discussions, facilitating requirements sessions, presenting recommendations, and building trusted working relationships
    • Applying consulting skills such as structured problem-solving, requirements gathering, communication, project collaboration, and managing multiple priorities
    • Supporting clients in life sciences, consumer products, and retail; experience in one or more of these core industries is preferred

 Additional Qualifications

    • 3+ years of experience in a Data Engineer or related data-focused role
    • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), as well as familiarity with a variety of databases
    • Experience building and optimizing big data pipelines, architectures, and data sets
    • Experience with data modeling and schema design, including star and snowflake schemas
    • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
    • Strong analytical skills related to working with structured and unstructured datasets
    • Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management
    • A successful history of manipulating, processing, and extracting value from large and disconnected datasets
    • Working knowledge of message queuing, stream processing, and highly scalable big data data stores
    • Experience supporting and working with cross-functional teams in a dynamic environment
    • Experience with big data tools including Databricks, Spark, Snowflake, Airflow, and Kafka
    • Experience with Azure or AWS cloud services
    • Experience with object-oriented/object function scripting languages such as Scala, Python, Java, and/or C++
    • Strong written and verbal communication skills, with the ability to communicate effectively with both technical and business audiences
    • Demonstrated consulting and client-facing experience, including the ability to build relationships, facilitate discussions, and work collaboratively with client teams
    • Experience in life sciences, consumer products, and/or retail is preferred
    • Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or an equivalent field

Travel Requirement
Travel is an integral part of this role and is estimated to average 30-50%. This may vary based upon client and project needs. When not traveling, consultants work from their home office. Relocation is not required.

More About Clarkston

Founded in 1991, Clarkston Consulting delivers technology and management solutions to market leaders in the life sciences, consumer products, and retail industries. At Clarkston, we cultivate success - for our clients, for our people, and for our firm. We utilize a team approach leveraging our collective expertise and industry knowledge to solve our clients' business challenges.

AI Statement

Clarkston values thoughtful and responsible AI use for resume writing, interview preparation, and research. However, real-time use of AI to generate or script answers during interviews - including video or live conversations - is strictly prohibited and will lead to disqualification. We seek candidates who show authenticity, good judgment, and genuine engagement throughout the process.

Benefits

Our benefits include:

  • Comprehensive Health and Wellness Benefits (Medical, Dental, Vision, and more)
  • 401k with company contributions
  • Paid vacation, personal days, holidays, and sick leave
  • Paid Parental Leave and Family Building Benefits (Adoption, Surrogacy, and Infertility Support)
  • Life and Disability Insurance
  • Training and Professional Development investments, Tuition Assistance, and more

We strive to ensure that every candidate has an equitable and accessible experience. If you are selected to move forward in the interview process, we will share information about how to request any accommodations. You may also request support at any point during the hiring process.

Visit Careers at Clarkston to learn more about our culture, benefits, and opportunities.

Clarkston Consulting is an equal opportunity employer. We are committed to ensuring our firm is rich in diverse skills, competencies, strengths, personalities, and culture. We foster an inclusive environment that embraces the unique contributions of our people to further our purpose. Please visit Diversity @ Clarkston to learn more about our diversity initiatives.

Apply