Data Engineer

· 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

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

· 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 qualifications:

· Ability to work independently and proactively

· Experience optimizing ETL workflows in Databricks

· Knowledge of data lineage and data quality practices

· Experience supporting data science and machine learning solutions

· Prior experience in the energy or utility industry

Master’s degree in a relevant STEM field