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Aws Databricks Terraform Jobs (NOW HIRING)

Yochana

Senior Data Engineer

Dallas, TX

$105K - $143K/yr

Terraform and GitLab CICD * Query tuning and performance optimization in SQL and/or SparkSQL * Familiarity with data warehousing (snowflake or similar) * Spark SQL * AWS, Databricks, Snowflake

Saransh Inc

Data Scientist - Need locals

Duluth, GA · On-site

Automate AWS infrastructure using Terraform or CloudFormation * Manage and optimize cloud resources (EC2, S3, IAM, CloudWatch, Lambda) * Deploy and administer Databricks clusters, notebooks, and ...

1 point system

Data Architect

Santa Clarita, CA · On-site

$64.75 - $83.25/hr

Strong Experience in Snowflake * Experience in cloud platforms AWS, especially AWS Databricks ... Familiarity with CI/CD, DevOps, and Infrastructure as Code (Terraform, ARM templates). * Knowledge ...

GLOBAL IT CON LLC

Data Engineer

Wilmington, DE

$111K - $133K/yr

... with AWS Services (S3/Lambdas/RD/EMR) Must have good databricks experience Should be decent with Shell/unix Airflow is a huge nice to have Terraform is a nice to have Any ML is a nice to have Must ...

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Aws Databricks Terraform information

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How much do aws databricks terraform jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for aws databricks terraform in the United States is $70.06, according to ZipRecruiter salary data. Most workers in this role earn between $62.26 and $81.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AWS Databricks Terraform Engineer, and why are they important?

To thrive as an AWS Databricks Terraform Engineer, you need expertise in cloud infrastructure (especially AWS), Databricks platform management, and Infrastructure as Code (IaC) principles, often backed by a degree in computer science or related certifications. Proficiency with Terraform for IaC, Databricks APIs, AWS services like EC2, S3, IAM, and CI/CD tools is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and adapt to evolving project needs. These skills ensure efficient, reliable, and scalable cloud data solutions that support business objectives.

What are AWS Databricks Terraform jobs?

AWS Databricks Terraform jobs involve using Terraform, an Infrastructure as Code (IaC) tool, to automate the deployment and management of Databricks workspaces and resources on Amazon Web Services (AWS). Professionals in this role write and maintain Terraform scripts that define infrastructure components, manage configurations, and ensure scalable, repeatable deployments of Databricks environments in the AWS cloud. This helps organizations streamline analytics workflows, improve efficiency, and reduce manual errors when provisioning big data and machine learning platforms.

How do AWS Databricks Terraform engineers typically collaborate with data scientists and DevOps teams?

AWS Databricks Terraform engineers play a crucial role in bridging infrastructure and analytics teams. They often work closely with data scientists to provision scalable Databricks clusters and ensure seamless data pipeline deployments. Collaboration with DevOps teams is common for automating infrastructure management using Terraform, enforcing best practices for code versioning, and maintaining secure, repeatable environments. Regular cross-team communication helps ensure that infrastructure meets both performance and security requirements while supporting evolving data workflows.

What is the difference between Aws Databricks Terraform vs Data Engineer?

AspectAws Databricks TerraformData Engineer
Primary FocusInfrastructure as code for deploying Databricks on AWSBuilding and maintaining data pipelines and databases
Skills & CertificationsTerraform, AWS, Databricks, cloud architectureSQL, Python, ETL tools, cloud platforms
Work EnvironmentCloud infrastructure management, DevOps practicesData processing, analytics, database management
Industry UsageData platform deployment, cloud infrastructure automationData analysis, reporting, data pipeline development

While Aws Databricks Terraform focuses on automating the deployment and management of Databricks environments on AWS using Terraform, Data Engineers primarily develop data pipelines, manage databases, and ensure data flow efficiency. Both roles often collaborate but serve different core functions within data infrastructure projects.

Infographic showing various Aws Databricks Terraform job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $145,725 per year, or $70.1 per hour.

AWS Databricks Engineer

Purple Drive Technologies

Wilmington, DE • On-site

Full-time

Posted 4 days ago

Job description

Overview:
Title: AWS Databricks Engineer
Location: Wilmington, DE - Onsite
Type: Contract Opportunity
Job Overview
We are seeking a highly skilled AWS Databricks Engineer to join our team for an onsite contract role in Wilmington, DE. The ideal candidate will have strong experience working with AWS frameworks, Terraform for infrastructure automation, and Databricks for large-scale data processing and analytics. Proficiency in Scala, Python, and Java is essential to design, develop, and optimize data solutions in a cloud-native environment.
Key Responsibilities
  • Design, develop, and optimize data pipelines and ETL processes using Databricks (DBX).
  • Work extensively with AWS services (EMR, EKS) to build scalable and secure data platforms.
  • Implement and manage Infrastructure as Code (IaC) using Terraform.
  • Develop and maintain solutions using Scala, Python, and Java for data processing and integration.
  • Collaborate with cross-functional teams to ensure data solutions meet business requirements, scalability, and performance needs.
  • Ensure data quality, governance, and security best practices are applied across the architecture.
  • Troubleshoot, optimize, and monitor data workflows to ensure high performance and reliability.
Required Skills & Qualifications
  • 8+ years of experience in Data Engineering / Cloud Engineering.
  • Strong expertise with AWS EMR and EKS frameworks.
  • Proven hands-on experience with Terraform for infrastructure automation.
  • Advanced knowledge of Databricks (DBX) for building large-scale data solutions.
  • Proficiency in programming languages: Scala, Python, and Java.
  • Solid understanding of data engineering concepts including data modeling, pipelines, and distributed computing.
  • Experience with big data ecosystems and handling both structured and unstructured data.
  • Strong problem-solving and analytical skills with excellent communication abilities.
Preferred Skills
  • Experience in CI/CD pipelines and DevOps best practices.
  • Familiarity with modern data warehousing solutions and cloud-native analytics platforms.
  • Exposure to real-time data processing frameworks.

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