Remote Databricks Data Engineer: Pipelines & ML-ready

Eliassen Group; Juneau (AK); Remote; USD 150,000 - 154,000; Full time

Benefits offered by this job

Health benefits

401(k) match

Dental

Vision

Life insurance

Disability insurance

Pre-tax accounts

Sick time

Job summary

Databricks Data Engineer role with Eliassen Group is remote, permanent, and open to candidates nationwide. You will design and maintain scalable data pipelines and infrastructure using AWS, Databricks, Spark, Python, and PostgreSQL to support analytics and SaaS solutions.

The position requires 5+ years of data engineering experience and strong collaboration across ML, data science, and software teams. You will mentor junior engineers, establish data engineering standards, and contribute to SDLC

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.
• 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

Jira

Git

Docker

CI tools

Data governance

Communication

Education

Bachelor’s degree in computer science or related field

Master’s degree in STEM (preferred)

Tools

PostgreSQL

Jenkins

Docker

Job description

Databricks Data Engineer role with Eliassen Group is remote, permanent, and open to candidates nationwide. You will design and maintain scalable data pipelines and infrastructure using AWS, Databricks, Spark, Python, and PostgreSQL to support analytics and SaaS solutions.

The position requires 5+ years of data engineering experience and strong collaboration across ML, data science, and software teams. You will mentor junior engineers, establish data engineering standards, and contribute to SDLC