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Remote Data Transformation Jobs in Ringgold, GA (NOW HIRING)

Unum UK

Data Scientist II - CX Analytics

Chattanooga, TN · On-site +1

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Data Extraction, Transformation, and Loading: Preferred skills include expertise in writing complex ...

All JobsData Transformation JobsRemote Data Transformation JobsRemote Data Transformation Jobs in Ringgold, GA

Remote Data Transformation information

What is a remote data transformation?

A Remote Data Transformation job involves converting, cleaning, and organizing data from one format or structure to another, all while working from a remote location. Professionals in this role use various tools and programming languages, such as SQL, Python, or ETL platforms, to ensure data is accurate, consistent, and usable for analytics or business processes. They often collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality transformed datasets. This role is crucial for organizations that rely on data-driven decision-making and need to integrate information from multiple sources.

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

A Remote Data Transformation Specialist needs strong analytical abilities, proficiency in data management, and a solid understanding of databases and data modeling, often supported by a degree in computer science, information systems, or related fields. Familiarity with ETL (Extract, Transform, Load) tools, SQL, and cloud-based data platforms like AWS or Azure is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving skills, attention to detail, and effective remote communication are vital soft skills for collaborating with distributed teams. These competencies ensure accurate, efficient data processing and integration, which are crucial for data-driven decision-making in modern organizations.

What are some common challenges faced in a remote data transformation role and how can they be addressed?

In a remote data transformation role, common challenges include managing large data sets across multiple platforms, ensuring data quality, and maintaining clear communication with distributed teams. Working remotely can make it harder to quickly clarify requirements or spot inconsistencies, so adopting strong documentation practices and regular check-ins are essential. Utilizing collaborative tools for version control, data sharing, and workflow management helps streamline processes and reduce errors. Proactively communicating progress and blockers with cross-functional teams ensures alignment and timely project delivery.

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

AspectRemote Data TransformationRemote Data Analyst
Primary RoleDesigning, developing, and implementing data transformation processesAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsSQL, ETL tools, data modeling, scripting languagesExcel, SQL, data visualization tools, statistical knowledge
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, analytics teams, reporting platforms
Industry UsageData engineering, software development, cloud servicesBusiness intelligence, marketing, finance

Remote Data Transformation specialists focus on creating and managing data pipelines and transforming raw data into usable formats. In contrast, Remote Data Analysts interpret data to generate insights and support strategic decisions. Both roles require strong technical skills, but their core responsibilities differ in focus and output.

What are the most commonly searched types of Data Transformation jobs in Ringgold, GA?

The most popular types of Data Transformation jobs in Ringgold, GA are:

What job categories do people searching Remote Data Transformation jobs in Ringgold, GA look for?

The top searched job categories for Remote Data Transformation jobs in Ringgold, GA are:

What cities near Ringgold, GA are hiring for Remote Data Transformation jobs?

Cities near Ringgold, GA with the most Remote Data Transformation job openings:

Remote Data Transformation jobs near you
Infographic showing various Remote Data Transformation job openings in Ringgold, GA as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, and 5% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Engineer II

Transport Enterprise Leasing

Chattanooga, TN • On-site, Remote

$90K - $110K/hr

Full-time

Life, Retirement, PTO

Posted 5 days ago

Job description

Data Engineer II
Location: Chattanooga, TN
Schedule: Hybrid | 4 Days Onsite, 1 Day Remote
TEL is a growing transportation and equipment leasing company committed to innovation, operational excellence, and delivering exceptional service to our customers. Technology and data play a critical role in driving our business forward, and we are looking for talented professionals who are excited about leveraging data to create meaningful business impact.
We are seeking a motivated and skilled Data Engineer to join our growing technology team! In this role, you will help design, develop, and maintain data solutions that support business intelligence, reporting, analytics, and operational decision-making across the organization.
What You'll Do
  • Develop, maintain, and optimize ETL pipelines that integrate data from multiple internal and external sources.
  • Build scalable and efficient solutions for data processing, transformation, and storage.
  • Partner with business stakeholders and cross-functional teams to gather requirements and deliver data-driven solutions.
  • Support the development and maintenance of dashboards, reports, and visualizations that provide actionable business insights.
  • Validate, monitor, and maintain data quality throughout the data lifecycle.
  • Troubleshoot and resolve data pipeline and performance issues to ensure reliability and efficiency.
  • Work with APIs and third-party systems to support seamless data integration.
  • Contribute to documentation, best practices, and knowledge-sharing initiatives across the team.
  • Stay current on emerging technologies, tools, and trends in data engineering, analytics, and artificial intelligence.
What We're Looking For
The ideal candidate will have experience building and maintaining ETL pipelines, working with cloud-based data platforms, and creating scalable solutions that transform complex data into actionable insights. You will collaborate with stakeholders across multiple departments to ensure data accessibility, reliability, and quality while contributing to user-facing dashboards and reporting solutions.
  • Experience developing and maintaining ETL pipelines using tools such as Databricks, Apache Spark, Airflow, or similar technologies.
  • Proficiency in SQL and Python for data transformation, automation, and analysis.
  • Strong understanding of data warehousing concepts, relational databases, and data modeling principles.
  • Experience with business intelligence and visualization platforms such as Tableau or Power BI.
  • Familiarity with Continuous Integration/Continuous Deployment (CI/CD) practices in a data environment.
  • Working knowledge of cloud platforms, with a preference for Microsoft Azure technologies.
  • Understanding of Artificial Intelligence (AI), Generative AI, and Machine Learning concepts, including leveraging AI-powered tools to improve analytics, automation, reporting, and operational efficiency.
  • Experience integrating data through APIs and external system connections.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration skills with the ability to work effectively across technical and non-technical teams.
  • Detail-oriented with a commitment to delivering accurate, high-quality solutions.
Education and Experience
  • Bachelor's degree or higher in Computer Science, Engineering, Information Systems, or a related field.
  • 2-4 years of experience as a Data Engineer or in a similar data-focused technical role.
  • Experience working within cloud-based data environments and modern analytics platforms preferred.
Annual salary range: $90,000 - $110,000, based on experience, technical skills, and overall qualifications.
Why Join TEL?
At TEL, you'll have the opportunity to work on meaningful projects that directly impact business performance and strategic decision-making. You'll collaborate with a talented team, contribute to innovative technology initiatives, and help shape the future of data and analytics within a growing organization.
Join Transport Enterprise Leasing and enjoy a comprehensive benefits package tailored to your career:
  • Paid time off (PTO) to help you balance work and life
  • Paid holidays—including your birthday and a floating holiday
  • Paid family leave for eligible employees
  • Veterans receive a paid day off on Veterans Day
  • 401(k) retirement savings plan with employer match
  • Retirement Pay Program for long-term financial security
  • Years of Service cash incentive to recognize your dedication
  • Financial wellness program for your financial growth
  • Education Reimbursement Program to support your professional development
Ready to build solutions that turn data into business value? Apply today and become part of the TEL team!

Equal Opportunity Employer
Transport Enterprise Leasing is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic as defined by applicable laws. We also proudly support and encourage applications from veterans.

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