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Remote Data Engineer Jobs in Spring Hill, TN (NOW HIRING)

Senior Cybersecurity Engineer

Nashville, TN · Remote

$110K - $151K/yr

Perform engineering of data protection products. For example, Privacera. * Understand and perform ... Additional Information Remote/WAH requirements: * WAH requirements: Must have the ability to ...

Senior Cybersecurity Engineer

Nashville, TN · Remote

$110K - $151K/yr

Perform engineering of data protection products. For example, Privacera. * Understand and perform ... Additional Information Remote/WAH requirements: * WAH requirements: Must have the ability to ...

Senior Cybersecurity Engineer

Nashville, TN · Remote

$110K - $151K/yr

Perform engineering of data protection products. For example, Privacera. * Understand and perform ... Additional Information Remote/WAH requirements: * WAH requirements: Must have the ability to ...

Data Infrastructure: Build and maintain data pipelines to collect, clean, label, and store data ... The Local Infusion Way Local Infusion is a respectful, upbeat, and remote-first team united by our ...

Belle uses cutting edge data science to identify those most in need on behalf of health plans and ... As these issues arise, a team of remote nurses coordinate care with other healthcare providers ...

Belle uses cutting edge data science to identify those most in need on behalf of health plans and ... As these issues arise, a team of remote nurses coordinate care with other healthcare providers ...

Belle uses cutting edge data science to identify those most in need on behalf of health plans and ... As these issues arise, a team of remote nurses coordinate care with other healthcare providers ...

Belle uses cutting edge data science to identify those most in need on behalf of health plans and ... As these issues arise, a team of remote nurses coordinate care with other healthcare providers ...

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Remote Data Engineer information

See Spring Hill, TN salary details

$41.8K

$122K

$166.9K

How much do remote data engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote data engineer in Spring Hill, TN is $121,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $129,300.00 per year, depending on experience, location, and employer.

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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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.

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 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 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.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
What are the most commonly searched types of Data Engineer jobs in Spring Hill, TN? The most popular types of Data Engineer jobs in Spring Hill, TN are:
What are popular job titles related to Remote Data Engineer jobs in Spring Hill, TN? For Remote Data Engineer jobs in Spring Hill, TN, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Spring Hill, TN look for? The top searched job categories for Remote Data Engineer jobs in Spring Hill, TN are:
What cities near Spring Hill, TN are hiring for Remote Data Engineer jobs? Cities near Spring Hill, TN with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Spring Hill, TN as of June 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,972 per year, or $58.6 per hour.
Staff Software Engineer, Automations

Staff Software Engineer, Automations

360 Privacy

Brentwood, TN • On-site, Remote

$180K - $210K/yr

Full-time

Posted 29 days ago


Job description

Staff Software Engineer
Automations Team

Location: Hybrid, Nashville TN (remote candidates welcome with quarterly travel to Nashville)
Compensation: $180,000 to $210,000 base salary + bonus + equity
Eligibility: Permanent U.S. residents only

About 360 Privacy

360 Privacy protects high-level individuals' PII data online, helping individuals and businesses regain control of their digital footprint. Our platform automates data removal, monitors exposure, and provides visibility into where and how personal information is being shared. We're a mission-driven team of engineers, builders, and operators focused on privacy, security, and user trust.

About the Role

We're looking for a Staff Software Engineer to join our Automations team to help shape, scale, and evolve the automation engine at the core of our platform. This role plays a pivotal part in designing agentic workflows, orchestrating complex distributed systems, and driving the technical direction of the automation stack. You'll architect event-driven systems, build high-quality automation pipelines, and expand our scraper-based workflows, all while mentoring engineers and raising the technical bar across the team. This is a deeply technical Staff-level position that requires strong ownership, architectural thinking, and hands-on coding excellence in Python.

What You'll Do

  • Take ownership of technical implementation and help define the long-term architectural direction of our automation platform.
  • Build and maintain a resilient, observable, event-driven system that powers our automation engine.
  • Develop workflow orchestration patterns and contribute to system-wide best practices.
  • Design, implement, and scale highly reliable automations using agentic workflows and AI tooling, including code generation, automated review, and agentic development patterns, while helping establish team norms around AI-augmented engineering.
  • Mentor engineers, provide technical guidance, and help elevate peers across the Automation team.
  • Collaborate cross-functionally with SOC, Core, and Integrations to expand and refine automation capabilities.

What We're Looking For

  • Expert-level proficiency with Python and hands-on experience working in production-grade systems (recent experience is a must).
  • Demonstrated experience using AI tools to accelerate engineering work, whether through AI-assisted development, prompt-driven automation, or integrating LLMs into production systems.
  • Strong communication and mentoring skills with a demonstrated ability to raise team capability.
  • Experience orchestrating workflows using modern orchestration tools or frameworks.
  • Deep understanding of event-driven system design and distributed architectures.
  • Deep, production-level AWS experience across services like Lambda, ECS/EKS, SQS, SNS, EventBridge, and CloudWatch in the context of event-driven and automation workloads.
  • This role requires advanced proficiency in English to effectively communicate complex information with team members and stakeholders, and to complete job-related documentation and collaboration tasks.

Nice to Have

  • Hands-on production experience with Prefect, Airflow, Dagster, or Temporal for orchestrating multi-step, stateful workflows at scale.
  • Experience deploying and operating containerized services on Kubernetes, including writing Helm charts, managing cluster resources, and troubleshooting pod-level failures.
  • Background building and maintaining scrapers at scale, including handling anti-bot measures, rate limiting, schema drift, and silent failures from target sites.

What Makes You a Great Fit

  • Low ego and a collaborative mindset.
  • Strong attention to detail and craftsmanship.
  • Curiosity and willingness to learn new tools and frameworks.
  • A generous approach to sharing knowledge and mentoring others.
  • A strong sense of responsibility when working with sensitive client data.

Additional Details

Calculating compensation: This role has a target base salary range of $180,000-$210,000. Final compensation is based on demonstrated experience, interview performance, and scope of impact.

On-Call: Yes, approximately every 6 to 8 weeks.

Travel: If remote, quarterly travel to Nashville for onsite collaboration.

We welcome applicants from all backgrounds and are committed to providing reasonable accommodations where applicable.


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