2

Remote Aws Data Engineer Jobs in Tennessee (NOW HIRING)

... Engineer (PE) licensure Work Location: This position is remote/hybrid work with a preferred for ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

... 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 ...

... Engineer (PE) licensure Work Location: This position is remote/hybrid work with a preferred for ... equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits ...

Senior Product Manager, Agentic AI

Franklin, TN · Remote

$122K - $161K/yr

Remote-USA Position Summary The Product Manager, Agentic AIis responsible fordriving the definition ... Collaborate with Data Engineering and Data Science leads on shared initiatives, including data ...

Showing results 41-60

Remote Aws Data Engineer information

What is a remote AWS data engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

How does a remote AWS data engineer typically collaborate with cross-functional teams?

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

What are the key skills and qualifications needed to thrive as a remote AWS data engineer?

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.

What are the most commonly searched types of Aws Data Engineer jobs in Tennessee?

The most popular types of Aws Data Engineer jobs in Tennessee are:

What are popular job titles related to Remote Aws Data Engineer jobs in Tennessee?

For Remote Aws Data Engineer jobs in Tennessee, the most frequently searched job titles are:

What cities in Tennessee are hiring for Remote Aws Data Engineer jobs?

Cities in Tennessee with the most Remote Aws Data Engineer job openings:

Infographic showing various Remote Aws Data Engineer job openings in Tennessee as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution.

Staff Software Engineer, Automations

360 Privacy

Brentwood, TN • On-site, Remote

$180K - $210K/yr

Full-time

Re-posted 16 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.


#LI-MH1 #nashville #python