Remote Databricks Data Engineer — AWS/Spark/ETL

Eliassen Group; Salem (OR); Remote; USD 150,000 - 154,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with match

Sick time

Job summary

Eliassen Group is seeking a Databricks Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure for energy-sector clients. Remote work options with open hours and W2 employment are offered.

You will partner with machine learning engineers, software engineers, data scientists, and analysts to deliver robust data products and ensure data quality, governance, and security across platforms. A strong background in AWS and Databricks is required.

Qualifications

• 5+ years in data engineering or a related field.
• Expert in Python, SQL, Databricks, and Spark.
• Experience building cloud data pipelines on AWS.
• Knowledge of data governance, security, and retention.
• Strong communication and teamwork in agile environments.
• Proficient with Git, Docker, and CI tools like Jenkins.

Responsibilities

• Design and maintain data pipelines and data infrastructure.
• Collaborate with cross-functional teams to translate requirements.
• Mentor junior data engineers and share best practices.
• Develop and enforce data engineering standards.
• Monitor pipelines for quality, availability, and reliability.
• Explore new data technologies and data lake management.
• Support DevOps activities for SDLC.

Skills

Python

SQL

Databricks

Spark

AWS

Git

Jira

Education

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

Master’s degree in a relevant STEM field

Tools

Jenkins

Docker

Job description

Eliassen Group is seeking a Databricks Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure for energy-sector clients. Remote work options with open hours and W2 employment are offered.

You will partner with machine learning engineers, software engineers, data scientists, and analysts to deliver robust data products and ensure data quality, governance, and security across platforms. A strong background in AWS and Databricks is required.