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Remote Amazon Data Engineer Jobs in Tennessee (NOW HIRING)

Snowflake Data Engineer (AWS)

Nashville, TN · Remote

$110.60K - $132.80K/yr

Benefits: * 401(k) Snowflake Data Engineer (AWS Environment) Only TN residents Nashville, TN ... Work with cross-functional teams on data onboarding This is a remote position.

Lead Data Engineer

Nashville, TN · Remote

$99K - $130.40K/yr

OneOncology is seeking a Lead Data Engineer for a full-time role based in Austin, TX, Nashville, TN, or remote. Our team members are all individually motivated, yet collaborative. We maintain a high ...

AI Data Engineer Senior Consultant

Nashville, TN · On-site +1

$102.40K - $139.10K/yr

... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ... AI Data Engineer Senior Consultant Position Summary Our Deloitte Human Capital team transforms ...

Senior Data Engineer

Franklin, TN · Remote

$102.20K - $138.90K/yr

Remote-USA Revecore is embarking on re-architecting and modernizing its core platform. The Data ... The Senior Data Engineer will join the Technology function, solving complex data problems for the ...

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

This is a REMOTE opportunity. We are not sponsoring work authorization for this role. Duties and ... Collaborate closely with data engineers and architects to coordinate dependencies across data ...

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Remote Amazon Data Engineer information

What are the key skills and qualifications needed to thrive as a Remote Amazon Data Engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by Remote Amazon Data Engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What does a Remote Amazon Data Engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

What are the most commonly searched types of Amazon Data Engineer jobs in Tennessee? The most popular types of Amazon Data Engineer jobs in Tennessee are:
What are popular job titles related to Remote Amazon Data Engineer jobs in Tennessee? For Remote Amazon Data Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Engineer jobs in Tennessee look for? The top searched job categories for Remote Amazon Data Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Amazon Data Engineer jobs? Cities in Tennessee with the most Remote Amazon Data Engineer job openings:
Snowflake Data Engineer (AWS)

Snowflake Data Engineer (AWS)

Eitacies Inc

Nashville, TN • Remote

$110.60K - $132.80K/yr

Full-time

Retirement

Posted 28 days ago


Job description

Benefits:
  • 401(k)

Snowflake Data Engineer (AWS Environment)
Only TN residents
Nashville, TN (Hybrid - Monthly onsite mandatory)
Requirements:
  • 3+ years Snowflake development
  • 5+ years SQL
  • Strong experience in ETL, Data Modeling, Data Warehousing
  • Hands-on with AWS Cloud environment
  • Experience with SSIS / Data Integration tools
  • Scripting experience: Python / PowerShell
  • Experience with API integrations (RESTful)
  • Strong in data ingestion, transformation, validation
Plus:
  • Healthcare / Public Health data experience
  • SSAS / SSMS exposure
  • BI / Analytics experience
Responsibilities:
  • Build and optimize Snowflake data pipelines
  • Handle data ingestion from multiple sources
  • Ensure data quality, integrity and performance
  • Work with cross-functional teams on data onboarding

This is a remote position.