Remote Databricks Data Engineer - Scale Data Pipelines

Eliassen Group; Nashville (TN); Remote; USD 150,000 - 154,000; Full time

Job summary

Eliassen Group is seeking a Databricks Data Engineer to design, build, and maintain scalable data pipelines and infrastructures for consulting services and SaaS solutions. This remote, full-time role requires collaboration with ML engineers, software engineers, data scientists, and analysts to deliver robust data products.

The position offers a competitive salary, comprehensive benefits, and formal W2 employment. Candidates should be willing to work on a W2 basis.

Qualifications

• Five or more years of experience in data engineering or 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, build, 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

Data governance

Communication

Agile

Jira

Git

CI/CD

DevOps

Education

Bachelor’s degree in computer science or related field

Master’s degree preferred

Tools

Git

Docker

Jenkins

PostgreSQL

Job description

Eliassen Group is seeking a Databricks Data Engineer to design, build, and maintain scalable data pipelines and infrastructures for consulting services and SaaS solutions. This remote, full-time role requires collaboration with ML engineers, software engineers, data scientists, and analysts to deliver robust data products.

The position offers a competitive salary, comprehensive benefits, and formal W2 employment. Candidates should be willing to work on a W2 basis.