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Data Engineer Gcp Data Engineer Jobs in Tennessee

Lares IT Solutions Inc

AWS Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Collaborate closely with data scientists, ML engineers, and application developers to bring AI/ML and GenAI features into production. * Ensure compliance with data governance, security, CI/CD, and ...

Ramsey Solutions

Data Engineer

Nashville, TN · On-site

$88K - $120K/yr

Designing, developing, and supporting scalable data pipelines and ETL/ELT processes using modern data engineering tools and technologies. * Developing and maintaining trusted dashboards, reports, and ...

The Providence Groups

Data Engineer

White House, TN · On-site

$110K - $132K/yr

Position Summary VantageWorks is seeking a Data Engineer to help build and support the data infrastructure that powers our growing organization. You'll develop data pipelines, improve data quality ...

Providence Groups LLC

Data Engineer

White House, TN · On-site

$110K - $132K/yr

Position Summary VantageWorks is seeking a Data Engineer to help build and support the data infrastructure that powers our growing organization. You'll develop data pipelines, improve data quality ...

FOCUSPOINT

Senior Data Engineer (Remote)

Nashville, TN · On-site

$110K - $132K/yr

Senior Data Engineer (Azure / Databricks) Location: Remote Employment Type: Full time Compensation: Commensurate with experience FocusPoint is actively building a pipeline of Senior Data Engineers ...

Providence Groups LLC

Data Engineer

White House, TN · On-site

$110K - $132K/yr

Position Summary VantageWorks is seeking a Data Engineer to help build and support the data infrastructure that powers our growing organization. You'll develop data pipelines, improve data quality ...

FOCUSPOINT

Senior Data Engineer

Brentwood, TN · On-site

$55 - $65/hr

Senior Data Engineer (Azure / Databricks) Location: Multiple U.S. locations (client sites vary) Employment Type: Full time Compensation: Commensurate with experience FocusPoint is actively building a ...

NTT DATA, Inc.

AWS ETL Data Engineer - HYBRID

Memphis, TN · On-site

$97.72 - $162.88/hr

We are currently seeking a AWS ETL Data Engineer - HYBRID to join our team in Memphis, Tennessee (US-TN), United States (US). We are seeking an experienced technical resource who could design ...

Prophecy Technologies

Senior Data Engineer

Memphis, TN · On-site

$103K - $139K/yr

We are seeking an experienced Senior Data Engineer with strong expertise in Azure Databricks, Spark, and Azure data services to design and deliver scalable, cloud-based data solutions for healthcare ...

Vital Services

Senior Data Engineer

Oak Ridge, TN · On-site +1

$110K - $130K/yr

As a Senior Data Engineer, you will work closely with our customer's department leads and project coordinators to evaluate business needs and develop reports and dashboards to support strategic goals.

Socket.dev

Senior Data Engineer

Nashville, TN · On-site

$120 - $160/hr

OCI Strategic Customer Engineering is seeking a highly experienced Senior Data Engineer with deep expertise in Data Engineering, Business Intelligence, and Analytics Platforms. This role is ideal for ...

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All JobsData Engineer Gcp Data Engineer JobsData Engineer Gcp Data Engineer Jobs in Tennessee

Data Engineer Gcp Data Engineer information

What is a GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

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

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

What is the difference between Data Engineer Gcp Data Engineer vs Data Engineer?

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

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

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

What job categories do people searching Data Engineer Gcp Data Engineer jobs in Tennessee look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Data Engineer Gcp Data Engineer jobs?

Cities in Tennessee with the most Data Engineer Gcp Data Engineer job openings:

Data Engineer Gcp Data Engineer jobs near you
Infographic showing various Data Engineer Gcp Data Engineer job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AWS Data Engineer

Lares IT Solutions Inc

Nashville, TN • On-site

$110K - $132K/yr

Other

Posted 10 days ago

Job description

Key Responsibilities

  • Design, build, and maintain scalable data pipelines on AWS using services such as S3, Glue, Lambda, Step Functions
  • Develop and optimize ETL/ELT workflows, ensuring high data quality, consistency, and availability across analytical and operational systems.
  • Work extensively with AWS ECS/ECR to containerize, orchestrate, and deploy data processing and ML/GenAI workloads.
  • Build secure and scalable APIs using API Gateway, Lambda, and container-based services for consumption by internal and external applications.
  • Architect and manage NoSQL workloads on DynamoDB, including partitions, performance tuning, and data modeling.
  • Implement secure authentication and authorization mechanisms using AWS Cognito.
  • Configure and manage Route 53, DNS routing, SSL certificates, and integrations for multi-service distributed systems.
  • Utilize CloudWatch Logs and Metrics for monitoring, troubleshooting, performance tuning, and building automated alerts.
  • Implement AWS Secrets Manager for secure credential and key management across the data ecosystem.
  • Design, manage, and optimize AWS OpenSearch clusters for indexing and querying structured and unstructured data.
  • Deploy and manage static websites using S3, CloudFront, Route 53, and related AWS services.
  • Integrate Generative AI capabilities into data workflows using Amazon Bedrock, AgentCore, custom LLMs, and embeddings.
  • Build RAG (Retrieval-Augmented Generation) pipelines leveraging vector databases (e.g., OpenSearch vector engine) to enhance AI-driven search and automation.
  • Develop data-driven solutions powering chatbots, summarization tools, document processing pipelines, and enterprise AI applications.
  • Collaborate closely with data scientists, ML engineers, and application developers to bring AI/ML and GenAI features into production.
  • Ensure compliance with data governance, security, CI/CD, and MLOps best practices across all environments.

Required Skills & Experience

  • 7–12 years of total IT experience, including strong hands-on experience as an AWS Data Engineer.
  • Expert-level proficiency with AWS services:
    • ECS, ECR
    • S3, Glue, Lambda, Step Functions
    • API Gateway, CloudFront
    • DynamoDB, Cognito
    • Route 53, CloudWatch
    • Secrets Manager
    • AWS OpenSearch (including vector search capabilities)
    • Solid experience designing and operating containerized workloads using Docker + ECS/Fargate.
  • Strong Python skills for building data pipelines, automation, and backend integrations.
  • Experience integrating and implementing Generative AI solutions using:
    • Amazon Bedrock, Bedrock AgentCore
    • LLM orchestration tools (LangChain, LlamaIndex)
    • RAG architectures
    • Embeddings and vector search
  • Deep understanding of data modeling, distributed systems, partitioning, performance optimization, and streaming/batch data processing.
  • Prior experience deploying and managing static web applications on AWS (S3 + CloudFront + Route 53).
  • Familiarity with CI/CD pipelines using CodePipeline, GitHub Actions, or Jenkins.
  • Strong understanding of IAM policies, roles, cross-account access, and cloud security best practices.
  • Excellent communication and cross-team collaboration skills.

Preferred Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field (Required)
  • Master’s degree in Data Engineering, Cloud Computing, or AI (Preferred)
  • AWS Certifications such as:
    • AWS Certified Data Engineer – Associate
    • AWS Certified Solutions Architect
    • AWS Machine Learning Specialty
  • Experience with AI/ML model deployment using SageMaker or Bedrock Agents

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