Enterprise Data Engineer Sr.

The Enterprise Data Engineer Sr. position on the Enterprise Data Solutions team is responsible for establishing, expanding and optimizing our Enterprise Analytical Data Platform and associated data pipeline architecture, as well as optimizing data flow for cross-functional analytical teams.

Requirements

• 5+ Years in IT – Software development and Engineering
• 5 Years in Big Data and Analytics (Spark/Pyspark)
• 5 Years’ experience with Databricks or equivalent cloud data platform
• 5 Years’ experience working with advanced Structured Query Language (SQL) and relational databases, query authoring as well as working familiarity with a variety of other database engines, including MS SQL Server, IBM DB2 and Oracle
• 5 Years’ experience working with online cloud providers (e.g., Azure, AWS, Google)
• 3 years’ experience using programming languages Python or Scala
• 3 Years working with unstructured datasets
• Strong project delivery and organizational skills
• Experience supporting and working with cross-functional teams in a dynamic environment

Benefits

• Medical with wellness incentives, dental, and vision
• HSA with company match
• Maternity and parental leave
• Tuition reimbursement
• Mentor program
• 401(k) with 6% match

Tagged as: Python, SQL