Remote Databricks Data Engineer: Scalable Pipelines

Eliassen Group; Salt Lake City (UT); Remote; USD 150,000 - 154,000; Full time

Benefits offered by this job

Medical plans

Dental plan

Vision plan

401(k) with match

Sick time

Job summary

Databricks Data Engineer at Eliassen Group is a remote, full-time role focusing on designing, building, and maintaining scalable data pipelines and infrastructure using AWS, Python, Databricks, Spark, and PostgreSQL. You will collaborate with ML engineers, software engineers, data scientists, and analysts to deliver data products for clients and internal data practices.

The position requires five+ years of data engineering experience and strong Python/SQL/Databricks expertise.

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 tools such as Jira.
• Proficiency with Git, Docker, and CI tools such as Jenkins.
• Passion for data and continuous improvement.
• Preferred: Ability to work independently and proactively.
• Preferred: Experience optimizing ETL workflows in Databricks.
• Preferred: Knowledge of data lineage and data quality practices.
• Preferred: Experience supporting data science and machine learning solutions.
• Preferred: Prior experience in the energy or utility industry.

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

Data governance

Security

DevOps

Jira

Git

Docker

CI tools

Education

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

Master’s degree preferred

Tools

Jenkins

Job description

Databricks Data Engineer at Eliassen Group is a remote, full-time role focusing on designing, building, and maintaining scalable data pipelines and infrastructure using AWS, Python, Databricks, Spark, and PostgreSQL. You will collaborate with ML engineers, software engineers, data scientists, and analysts to deliver data products for clients and internal data practices.

The position requires five+ years of data engineering experience and strong Python/SQL/Databricks expertise.