Data Engineer

A Data Engineer designs and leads the implementation of data flows to connect operational systems and capture data for analytic and business intelligence systems.

Requirements

• Bachelor of Science Degree in Computer Science, or a Bachelor of Arts Degree in a related technical field
• 5-10 years related work experience in data engineering or similar role
• Experience building and optimizing big data pipeline architectures and data sets
• Experience with object oriented/object function scripting languages such as Scala and/or Python
• Experience with public cloud technologies in Google (preferred), AWS and Azure
• Experience with relational and NoSQL databases such as SQL Server, Postgres, Cassandra, etc.
• Working knowledge of message queuing, stream processing and highly scalable big data stores
• Experience with financial/ERP systems such as Oracle Cloud ERP
• Experience with big data applications such as Hadoop, Spark, Kafka, etc.
• Familiarity with Agile methodologies and development processes
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience with data pipeline and workflow management tools such as Airflow

Benefits

• Medical, Dental, and Vision insurance
• Basic and Supplemental Life Insurance options
• 401(k) retirement plans with company match
• Health Spending Accounts (HSA/FSA)
• Flexible time off and 11 paid holidays
• Family-building benefits, including Maternity, Adoption, and Parental Leave
• Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning
• Wellness and Mental Health counseling services
• Concierge and work/life support resources
• Adoption Assistance Reimbursement
• Perks and discount programs

Originally posted on Himalayas