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Remote Data Engineering Jobs in Dalton, GA (NOW HIRING)

Principal Data Engineer - CX Analytics

Chattanooga, TN ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Build and maintain best practices for team's data engineering strategy; as well as staying informed ...

Sr. Data Engineer - CX Analytics

Chattanooga, TN ยท Remote

$104K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data engineering as the team grows. You will mentor other engineers and partner closely with BI ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

Data Engineer

Chattanooga, TN ยท Remote

$104K - $125K/yr

The work is highly collaborative and offers exposure to cloud engineering, DevOps, data platforms ... This is a remote, work-from-home position, but the final round of interviews will take place on ...

Data Scientist II - CX Analytics

Chattanooga, TN ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Engineers to ensure analyses are grounded in reliable data and effectively operationalized. The ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

Principal Data Scientist - CX Analytics

Chattanooga, TN ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Programming & Process automation: Experience with using file I/O, database integrations, and APIs ...

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

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Showing results 1-20

Remote Data Engineering information

See Dalton, GA salary details

$39.4K

$115K

$157.3K

How much do remote data engineering jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote data engineering in Dalton, GA is $114,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $121,900.00 per year, depending on experience, location, and employer.

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 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.

Can you work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require strong skills in SQL, cloud platforms, and data pipeline tools, and may involve collaboration through online communication tools.

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 popular job titles related to Remote Data Engineering jobs in Dalton, GA?

For Remote Data Engineering jobs in Dalton, GA, the most frequently searched job titles are:

What cities near Dalton, GA are hiring for Remote Data Engineering jobs?

Cities near Dalton, GA with the most Remote Data Engineering job openings:

Infographic showing various Remote Data Engineering job openings in Dalton, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $114,988 per year, or $55.3 per hour.

Principal Data Engineer - CX Analytics

Unum UK

Chattanooga, TN โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Job Posting End Date: August 15

When you join the team at Unum, you become part of an organization committed to helping you thrive.

Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:

  • Award-winning culture

  • Inclusion and diversity as a priority

  • Performance Based Incentive Plans

  • Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability

  • Generous PTO (including paid time to volunteer!)

  • Up to 9.5% 401(k) employer contribution

  • Mental health support

  • Career advancement opportunities

  • Student loan repayment options

  • Tuition reimbursement

  • Flexible work environments

*All the benefits listed above are subject to the terms of their individual Plans.

And that's just the beginning...

With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!

General Summary:We are seeking a Principal Data Engineer to join the CX Analytics team within our Customer Experience Organization. In this role, you will lead the design and implementation of data solutions that enable BI/reporting and advanced analytics across the team, ensuring data is accessible, reliable, and structured for meaningful use across our team. You will build and maintain scalable data pipelines, develop and optimize data models, and integrate new data sources across the ecosystem, including both structured and unstructured data. A core focus of the role is enabling analytics through automation and advancing how we leverage AI-developing and supporting pipelines that incorporate unstructured data and LLM-based workflows to extract signal from sources such as raw text.
As a hands-on technical leader, you will define standards and best practices for data engineering while mentoring other engineers and partnering closely with BI Analysts and Data Scientists to support their work. You will help shape how data flows through the team, ensuring environments, pipelines, and datasets are built with quality, scalability, and usability in mind. The ideal candidate is a strong problem solver and collaborator who can work across technologies and data domains, guide technical direction, and consistently enable the team to deliver high-quality analytics that support better decision-making across the organization.
This is a campus-based role. Current remote and field-based Unum employees may apply and will be considered in accordance with company policy.

Principal Duties and Responsibilities

  • Proactively partner with the business to provide development, construction, testing, and maintenance of data pipelines that support the needs of the business.
  • Integrate large volume of highly complex data from different sources (including DB2, SQL Server, Web API and Teradata).
  • Apply validation, aggregation, and reconciliation techniques to create a rich data framework.
  • Work closely with the data scientists and business partners to understand the business problem they are trying to solve and the analytics solutions they plan to apply. Use this understanding to create appropriate data structures tailored for the specific problem.
  • Build and maintain best practices for team's data engineering strategy; as well as staying informed of best practices across industries and striving for innovation and efficiency.
  • Understand and contribute to the evolution of the enterprise data architecture including the application of current and emerging data frameworks and tools (eg hosting data in Cloud).
  • Efficiently prepares results for interpretation and/or visualization and communicates findings and potential value to influence strategic decision making.
  • Support integration of solutions within existing business processes using automation techniques.
  • Continuously research and build upon deep understand theory and application of current and emerging software and data engineering practices.
  • Provides support, training and/or mentorship to lower level Data Engineer peers.
  • Perform other related duties as assigned

Job Specifications

  • Bachelor's degree in quantitative field is required, Master's or PhD is preferred
  • 8 years of professional experience or equivalent relevant work experience preferred
  • Core Data Engineer Capabilities: Deep expertise in each of the following skillsets is preferred:
  • Software Engineering: Expertise in at least one relevant object-oriented programing language (i.e. Java/Scala, Python). Experience in DevOps best practice including CI/CD, process automation and optimization.
  • Data Architecture and Infrastructure: Good understanding of data architecture principles and related infrastructure requirements, covering on-prem and Cloud platforms.
  • Holistic Data Preparation: The ability to understand and present data in the appropriate context, including a good understanding how the data will build towards a business solution.
  • Data Extraction, Transform & Load: Preferred skills include: Expertise in writing complex SQL queries that join multiple tables/databases. Independently explore databases/tables or other legacy data content to identify best data sources to solve business problems. Demonstrates ability to troubleshoot complex SQL queries with little guidance. Demonstrates ability to create logical data models by combining data from multiple sources including internal and external data
  • Core business capabilities: Demonstrated communication skills, experience in financial services, leadership experience working with senior management and executive leadership, and attention to detail while effectively and independently prioritizing work and managing multiple projects simultaneously. Demonstrated ability to understand and explain a problem and identify and communicate an appropriate solution.
  • Leadership Capabilities: Leader within their field, both internally and externally. Naturally effective coach and mentor, actively engages peers and team members, especially within areas of expertise. Viewed as a leader in change management. Maintains depth of technical understanding of third party/cloud solutions.
  • This position may have key leadership responsibilities, including:
  • People Management: Actively participates in determining staffing needs of the team, including hiring and development. Leads assigned team in the completion of requested activities and projects.
  • Engineering strategic and program management for their organization: Coaches, mentors, and helps build team. Proactively identifies and researches new approaches and skills needed for performing data science and advanced analytics.
  • Preferred characteristics: Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Deep expertise in their organization. Demonstrates ability to conduct independent research and development of techniques that may be shared internally and externally.

#LI-TO1

#LI-MULTI

~IN4

Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.

The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.

$109,100.00-$224,000.00

Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.

Company:

Unum