Job Title: Senior Data Engineer
Location: Remote (Need to travel 1 or 2 times a year)
Job Type: Full-Time
Roles & 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
Required Qualifications:
· 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
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