Senior Data Engineer

The Opportunity

As a member of the Data Pipeline team, you’ll be at the center of building our platform that enables us to redefine this industry.  We’re building a data pipeline that merges the tested design of data warehousing and the latest big data technologies.  You will be designing and building data projects while securing core data elements.

Responsibilities

Essential Duties (Primary Responsibilities) include the following.

• Research new technology and share knowledge with team and peers
• Design, implement and release data applications in AWS using big data technologies
• Coordinate development efforts across the organization
• Influence team in development standards and processes
• Teach and mentor peers
• Other duties as assigned

What it takes to be successful in this role

• 2-4 years of hands-on Apache Spark experience (PySpark preferred)
• 7-10 years of hands-on Business Intelligence / Data Warehousing experience
• 1-2 years of experience building high-performance algorithms in scalable languages such as Scala, Python and R
• Excellent interpersonal, verbal, and written communication skills
• Strong logical, analytical, problem solving and reporting skills
• Familiarity with Agile and Scrum methodologies
• AWS Elastic Map Reduce (EMR) experience
• Able to use version control (git) and other build, packaging & release management tools 
• Passionate about developing quality products

 Employee Benefits 

• 18 PTO days + 2 floating holidays & 10 paid holidays per year
• Generous tuition reimbursement towards a Masters or Bachelors degree
• 401K match up to 6%
• 12 weeks of 100% paid paternity/maternity leave
• Mentorship with industry professionals

#LI-VB1 #LI-Hybrid