Data Engineer

Requirements

• Develop ETL (Extract, Transform, and Load) jobs within Databricks
• Follow templates and engineering patterns to reduce time-to-deploy new data assets or changes to an existing data model or analytics solution
• Leverage programming languages like SQL and Python to build and maintain pipelines
• Assist in optimizing and tuning existing pipelines
• Partner with key business teams to understand their data needs and assist them in building the appropriate data solutions to meet their business needs
• Partner with the security and risk teams to build appropriate security and compliance into the data platforms
• Partner with the enterprise technology function to ensure effective and efficient operation of all data environments
• Foster continuous process improvement within the data & insights organization and functions
• Cultivate strong relationships with all stakeholders of the data & insights team
• Experience working within deadlines
• Excellent communication skills, both written and verbal, with ability to communicate effectively at all levels of the organization
• Experience working with Databricks preferred
• 1-3 years of IT experience
• 1-3 years of experience with Python
• 1-3 years of experience with SQL
• 1-3 years of experience delivering projects in a complex enterprise environment
• 1-3 years developing and delivering data engineering solutions in data warehousing
• 1-3 years developing with Multi-Parallel Processing databases like Databricks, Teradata, Azure SQL DW, Big Query, or Snowflake
• Bachelor's degree in computer science, engineering or related field of study

Benefits

• 401K company match up to 4%
• Paid Time Off
• Medical Insurance options including FSA & HSA
• Vision Insurance
• Dental insurance
• Employee Assistance Programs
• Team Member Referral Program
• Tuition Reimbursement
• Wellbeing Program
• Career development opportunities