Senior Databricks Data Engineer - Remote (AWS/Data Lakes)

Eliassen Group; Bismarck (ND); Remote; USD 150,000 - 154,000; Full time

Benefits offered by this job

Medical plans

Dental

Vision

Pre-tax accounts

Life and disability insurance

401(k) with match

Sick leave

Job summary

Eliassen Group is seeking a Databricks Data Engineer to design, build, and maintain scalable data pipelines for client projects and internal use. You will partner with ML engineers, software engineers, data scientists, and analysts to deliver data products in a remote, permanent role with competitive compensation.

The ideal candidate has 5+ years of data engineering experience, expert Python/SQL skills, and strong cloud data experience in AWS.

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

Five or more years of experience in

Python

SQL

Databricks

Spark

AWS

Data governance

Security

Communication

Agile (Jira)

Git

Docker

CI tools (Jenkins)

Education

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

Master's degree in a relevant STEM field

Tools

Jira

Git

Docker

Jenkins

Job description

Eliassen Group is seeking a Databricks Data Engineer to design, build, and maintain scalable data pipelines for client projects and internal use. You will partner with ML engineers, software engineers, data scientists, and analysts to deliver data products in a remote, permanent role with competitive compensation.

The ideal candidate has 5+ years of data engineering experience, expert Python/SQL skills, and strong cloud data experience in AWS.