Senior Data Engineer - DC, Databricks & DevOps

Infinitive; McLean, Northern (VA, KY); Hybrid; USD 90,000 - 154,000; Full time

Job summary

Infinitive, a data and AI consultancy, seeks a Senior Data Engineer to design and maintain scalable data pipelines using Databricks. The role emphasizes CI/CD automation with Jenkins and Terraform, plus building robust data models (3NF, Dimensional, Data Vault) for enterprise clients.

The candidate will collaborate with data scientists and engineers to ensure reliability and efficiency, while mentoring junior colleagues and upholding best practices across data architecture and DevOps.

Qualifications

• Bachelor's degree in CS/Engineering or related field, Master's preferred.
• Experience as a Data Engineer, preferably in cloud environments.
• Proficiency in Databricks for data processing and analytics.
• Hands-on Jenkins and Terraform for infrastructure automation.
• Deep knowledge of data modeling: 3NF, Dimensional, Data Vault.
• SQL and Python/Scala programming proficiency.
• Experience with AWS/Azure or Google Cloud Platform.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL via Databricks.
• Implement CI/CD pipelines using Jenkins and Terraform for deployment and monitoring.
• Develop data models (3NF, Dimensional, Data Vault) for business needs.
• Identify bottlenecks and optimize data processing and storage.
• Implement data quality checks and monitoring processes.
• Collaborate with data scientists, analysts, and software engineers.
• Document pipelines, infrastructure configurations, and models.
• Provide mentorship and training to junior team members.

Skills

SQL

Python

Scala

Data modeling concepts

Cloud platforms knowledge

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Databricks

Jenkins

Terraform

Job description

Infinitive, a data and AI consultancy, seeks a Senior Data Engineer to design and maintain scalable data pipelines using Databricks. The role emphasizes CI/CD automation with Jenkins and Terraform, plus building robust data models (3NF, Dimensional, Data Vault) for enterprise clients.

The candidate will collaborate with data scientists and engineers to ensure reliability and efficiency, while mentoring junior colleagues and upholding best practices across data architecture and DevOps.