Remote Databricks Data Engineer – AWS & Spark Pipelines

Eliassen Group; San Juan (PR); Remote; USD 150,000 - 154,000; Full time

Job summary

Eliassen Group is seeking a Databricks Data Engineer for remote, full-time employment to design and maintain scalable data pipelines and data infrastructure supporting consulting services and SaaS solutions.

The role requires strong Python, SQL, Databricks, Spark expertise, AWS data pipelines, and collaboration with ML engineers, data scientists, and analysts. Salary is $150,000–$154,000 per year on a W2 basis.

Qualifications

• Five or more years of experience in data engineering or a related role.
• Expert proficiency in Python, SQL, Databricks, and Spark.
• Experience building cloud-based data pipelines in AWS.
• Knowledge of data governance, security, privacy, and retention practices.

Responsibilities

• Design, develop, and maintain data pipelines, infrastructure, and systems using AWS, Python, Databricks, Spark, and PostgreSQL.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Provide technical guidance and mentorship to junior data engineers.
• Develop and implement data engineering standards and best practices.
• Monitor and troubleshoot data pipelines to ensure data quality, integrity, and availability.
• Research industry trends and evaluate new data technologies.
• Build and maintain data lakes to support analytics and business intelligence.
• Manage the software development life cycle and DevOps activities.
• Partner with data scientists and analysts to deliver effective data solutions.
• Develop data validation and data analysis tools.

Skills

Python

SQL

Databricks

Spark

AWS

Jira

Git

Docker

Jenkins

Education

Bachelor’s degree in computer science, information technology, or a related field

Master’s degree in a relevant STEM field

Tools

Databricks

Jira

Git

Docker

CI/CD tooling

Jenkins

Job description

Eliassen Group is seeking a Databricks Data Engineer for remote, full-time employment to design and maintain scalable data pipelines and data infrastructure supporting consulting services and SaaS solutions.

The role requires strong Python, SQL, Databricks, Spark expertise, AWS data pipelines, and collaboration with ML engineers, data scientists, and analysts. Salary is $150,000–$154,000 per year on a W2 basis.