Senior Databricks Data Engineer — Remote Pipelines

Eliassen Group; Providence (RI); 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 data platforms for consulting services and SaaS solutions. You will collaborate with ML engineers, software engineers, data scientists, and analysts to deliver data products and improve internal data practices.

This is a full-time, permanent role offering a competitive salary and comprehensive benefits. Remote work is supported, with W2 employment.

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.
• Strong communication, collaboration, and problem-solving skills.
• Experience working in agile environments using Jira.
• Proficiency with Git, Docker, and CI tools such as Jenkins.
• Preferred: Experience optimizing ETL workflows in Databricks.
• Preferred: Knowledge of data lineage and data quality practices.
• Preferred: Experience supporting data science and ML solutions.
• Preferred: Prior energy/utility industry experience.

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

PostgreSQL

Jira

Git

Docker

Jenkins

Data governance

Data quality

ETL optimization

Energy domain

Education

Bachelor’s degree in computer science

Master’s degree in STEM

Tools

AWS

Databricks

Spark

Job description

Eliassen Group is seeking a Databricks Data Engineer to design, build, and maintain scalable data pipelines and data platforms for consulting services and SaaS solutions. You will collaborate with ML engineers, software engineers, data scientists, and analysts to deliver data products and improve internal data practices.

This is a full-time, permanent role offering a competitive salary and comprehensive benefits. Remote work is supported, with W2 employment.