AWS Cloud Engineer

Eliassen Group; Nashville (TN); On-site; USD 157,597,000 - 171,924,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a mid-level Cloud Data Engineer to design, build, and maintain scalable data solutions on AWS and Databricks. The role requires hands-on engineering, cloud architecture knowledge, and collaboration with stakeholders to translate business requirements into technical outcomes.

The ideal candidate brings experience across AWS services, Databricks, Terraform, CI/CD with GitHub Actions, and data engineering best practices, with exposure to Teradata, Informatica, and AI/ML

Qualifications

• Experience with AWS services including EC2, S3, Lambda, Glue, IAM.
• Databricks, SQL and Python for data engineering.
• Data pipeline development, ETL/ELT, data modeling, and performance optimization.
• Terraform for infrastructure automation.
• GitHub and GitHub Actions for CI/CD.
• Understanding of cloud-native architectures, scalability, resiliency, security, and cost optimization.
• Preferred: Teradata, Informatica, AI/ML or Generative AI exposure, data governance and data quality frameworks.
• Soft skills: clear communication, stakeholder management, leading requirements sessions, business-to-technical translation, analytical problem solving, and independent work in a collaborative environment.
• Certifications strongly preferred: AWS Certified Solutions Architect – Associate and/or AWS Certified Data Analytics – Specialty; Databricks Certified Data Engineer Associate is a plus.

Responsibilities

• Design, develop, and support cloud-based data platforms and solutions using AWS and Databricks.
• Build and maintain data pipelines, ETL/ELT processes, and integrations.
• Implement infrastructure as code using Terraform.
• Develop and optimize SQL and Python applications, scripts, and data processing jobs.
• Collaborate with stakeholders to gather requirements and define scalable solutions.
• Support architecture reviews, best practices, governance, and security standards.
• Build and maintain CI/CD pipelines with GitHub and GitHub Actions.
• Monitor, troubleshoot, and optimize cloud infrastructure and data workloads.
• Participate in technical design sessions and contribute to long-term cloud strategy.

Skills

AWS

Cloud architecture

Stakeholder communication

ETL/ELT design

Data modeling

Security & governance

AI/ML concepts

Soft skills

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

Databricks

Terraform

GitHub

GitHub Actions

SQL

Python

Job description

Our client seeks a mid-level Cloud Data Engineer to design, build, and maintain scalable data solutions on AWS and Databricks. The role requires hands‑on engineering, sound cloud architecture knowledge, and collaboration with stakeholders to translate business requirements into technical outcomes. The ideal candidate brings experience across AWS services, Databricks, Terraform, CI/CD with GitHub Actions, and data engineering best practices, with exposure to Teradata, Informatica, and AI/ML concepts preferred. Certifications such as AWS Certified Solutions Architect – Associate or AWS Certified Data Analytics – Specialty are highly valued.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $55.00 to $60.00/hr. w2

Responsibilities

• Design, develop, and support cloud-based data platforms and solutions using AWS and Databricks.
• Build and maintain data pipelines, ETL/ELT processes, and integrations.
• Implement infrastructure as code using Terraform.
• Develop and optimize SQL and Python applications, scripts, and data processing jobs.
• Collaborate with stakeholders to gather requirements and define scalable solutions.
• Support architecture reviews, best practices, governance, and security standards.
• Build and maintain CI/CD pipelines with GitHub and GitHub Actions.
• Monitor, troubleshoot, and optimize cloud infrastructure and data workloads.
• Participate in technical design sessions and contribute to long-term cloud strategy.

Experience Requirements

• Proficiency with AWS services including EC2, S3, Lambda, Glue, and IAM.
• Hands‑on Databricks, SQL, and Python for data engineering.
• Data pipeline development, ETL/ELT, data modeling, and performance optimization.
• Terraform for infrastructure automation.
• GitHub and GitHub Actions for CI/CD.
• Understanding of cloud‑native architectures, scalability, resiliency, security, and cost optimization.
• Preferred: Teradata, Informatica, AI/ML or Generative AI exposure, data governance and data quality frameworks.
• Soft skills: clear communication, stakeholder management, leading requirements sessions, business‑to‑technical translation, analytical problem solving, and independent work in a collaborative environment.
• Certifications strongly preferred: AWS Certified Solutions Architect – Associate and/or AWS Certified Data Analytics – Specialty; Databricks Certified Data Engineer Associate is a plus.

Education Requirements

Relevant bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.