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Amazon Data Engineer Jobs in Tennessee (NOW HIRING)

AWS Data Engineer

Memphis, TN · On-site

$102K - $122K/yr

AWS Data Engineer Salary: $$Base + Benefits + Bonus + Relocation Location: Memphis, TN - 5 Days ... Working experience with Amazon Well-Architected Framework. * Proficient in programming languages ...

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

AWS Data Engineer Lead

Germantown, TN · On-site

$102K - $123K/yr

Senior AWS Data Engineer Location: Onsite - East Memphis -TN (Germantown area) | Open to St. Louis ... Amazon EventBridge * (Additional AWS services as required) Candidate Profile Required Skills ...

New

Databricks Data Engineer

Nashville, TN

$110K - $132K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Data Engineer - Manager

Nashville, TN · On-site

$99K - $232K/yr

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment ...

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Sr Databricks Data Engineer

Nashville, TN

$110K - $132K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

HPG Big Data Engineer / Senior-Level

Nashville, TN · On-site

$53.75 - $71.25/hr

Data Engineer / Senior-Level The Data Engineer / Senior-Level will be part of the team in Nashville ... Experience with Microsoft Azure or Amazon Web Services (AWS) * Strong development experience with ...

Engineer, Data II

Chattanooga, TN · On-site

$82K - $103K/yr

Engineer, Data II USX HEADQUARTERS 08:00-17:00 Position open to remote: Yes Grade: ES15 ... Amazon RDS is a plus • Strong SQL skills and experience with data processing frameworks • ...

HPG Big Data Engineer / Senior-Level

Nashville, TN · On-site

$53.75 - $71.25/hr

CereCore is seeking a Senior Data Engineer to join their team in Nashville, TN. The role involves ... Amazon Web Services (AWS) • Strong development experience with Microsoft SQL or Postgres ...

The Senior Data Engineer serves as a primary development resource for design, build, implementation ... Experience with Microsoft Azure or Amazon Web Services (AWS) * Strong development experience with ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions ...

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Amazon Data Engineer information

See Tennessee salary details

$40.4K

$117.7K

$161.1K

How much do amazon data engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for amazon data engineer in Tennessee is $117,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $124,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Amazon Data Engineer position, and why are they important?

To thrive as an Amazon Data Engineer, you need strong proficiency in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically accompanied by a degree in computer science or a related field. Familiarity with AWS cloud services (like Redshift, S3, and Glue), big data tools, and relevant certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-functional teams set standout candidates apart. These skills and qualities ensure data is accurately managed, integrated, and made accessible for analytics and business decisions in Amazon's complex environment.

What types of projects and data challenges do Amazon Data Engineers typically work on in their day-to-day roles?

As an Amazon Data Engineer, you can expect to work on projects involving the design, development, and maintenance of large-scale data pipelines and data warehouses. Common challenges include optimizing data flows for efficiency, handling massive and complex datasets, and ensuring data quality and integrity across various sources. You'll frequently collaborate with data scientists, analysts, and other engineering teams to create scalable solutions that support business intelligence and machine learning initiatives. The fast-paced environment provides opportunities to solve unique technical problems and drive data-driven decision-making across Amazon’s diverse businesses.

What is an Amazon Data Engineer job?

An Amazon Data Engineer is responsible for designing, building, and maintaining data infrastructure to support business intelligence and analytics. They work with large-scale datasets, optimize data pipelines, and ensure efficient data processing. Engineers collaborate with data scientists, analysts, and software teams to enable data-driven decision-making. Key skills include SQL, Python, ETL development, and experience with AWS services like Redshift, S3, and Glue.

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 Amazon Data Engineer jobs in Tennessee? For Amazon Data Engineer jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Amazon Data Engineer jobs? Cities in Tennessee with the most Amazon Data Engineer job openings:
Infographic showing various Amazon Data Engineer job openings in Tennessee as of June 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $117,733 per year, or $56.6 per hour.
AWS Data Engineer

$102K - $122K/yr

Other

Posted 6 hours ago


Job description

This is Full-Time / Permanent Position You will be directly working with an end client for this position.
The interview process will be initiated as soon as possible.
We re excited to hear back from you.
Job Description:
Role: AWS Data Engineer
Salary: $$Base + Benefits + Bonus + Relocation
Location: Memphis, TN - 5 Days onsite
Job Description: The Sr. Data Engineer is responsible for designing, developing, and maintaining data pipelines and infrastructure on the AWS platform. The Sr. Data Engineer works with large volumes of data, ensuring its quality, reliability, speed, and accessibility. Tasks may include data ingestion, transformation, storage, data sharing and consumption, and implementing data security and privacy measures. This role is crucial in enabling efficient and effective data-driven decision-making.
Requirements
  • Extensive experience with enterprise data solutions, including but not limited to data warehouse modernization, enterprise data lakes, cloud migration, automation and reducing engineering toil
  • Working experience with Amazon Well-Architected Framework.
  • Proficient in programming languages such as Python and SQL for database querying and manipulation.
  • Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data Zone, Amazon Kinesis, MSK, and Amazon EMR.
  • Knowledge of database design principles and experience with database management systems.
  • Experience with data storage technologies, such as relational databases (e.g., SQL Server, PostgreSQL) and distributed storage systems (e.g., PySpark).
  • Understanding of Extract, Transform, Load (ETL) processes and experience with ETL tools like AWS Glue and SQL Server Integration Services is essential.
  • Skilled at integrating disparate data sources and ensuring data quality and consistency.
  • Understanding and experience with orchestration tools like Apache Airflow, AWS Glue Workflows, AWS Step Functions, and notification services.
  • Familiarity with IAC, such as Terraform, git, and DevOps pipelines.
  • Strong analytical thinking and problem-solving abilities are essential to effectively identify and resolve data-related issues.
  • Ability to analyze complex data sets, identify patterns, and derive actionable insights.
  • Awareness of data governance practices, data privacy regulations, and security protocols is crucial.
  • Experience implementing data security measures and ensuring compliance with relevant standards is desirable.
  • Passion for mentoring less experienced engineers.

Proficient in the following computer languages
  • Python
  • SQL

AWS technologies to include
  • Glue
  • S3
  • Redshift
  • Lambda
  • Lake Formation
  • DataZone

Responsibilities
  • Build and maintain scalable and reliable data pipelines, ensuring the smooth flow of data from various sources to the desired destinations in the AWS cloud environment.
  • Work closely with stakeholders to understand their data requirements and design data solutions that meet their needs.
  • Understand data models/schemas and implement ETL (Extract, Transform, and Load) processes to transform raw data into a usable format in the destination.
  • Responsible for monitoring and optimizing the performance of data pipelines, troubleshooting any issues that arise, and ensuring data quality and integrity.

Regards,
Piyush Kumar
Resource Manager | Syntricate Technologies Inc.
Email: piyush@syntricatetechnologies.com | Web: www.syntricatetechnologies.com
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