Cloud Data Engineer - AWS + Databricks, CI/CD & Terraform

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

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