Data Engineer

• Serve as a Data Engineer on a cross-functional team to help solve pressing problems
• Integrate data, transform insights, and build applications for operational decisions
• Setup transfers of data feeds from source systems into location
• Write transformations and derive new datasets using Spark for distributed computation
• Monitor build progress and debug build problems
• Design applications that address operational questions
• Execute requests for information (RFI’s) surrounding the platform’s data footprint
• Work with product teams while debugging/understanding the code backing our platform

· BS in Computer Science / Engineering (or related career field) preferred

· Strong Data Engineering background

· Experience with Spark, Pyspark, and/or Pandas

· Extensive experience coding/programming in:

• Python
• SQL, R or Similar

· Strong understanding of algorithms and data structures as they pertain to development

· Experience with Foundry is preferred

Required: Active Secret Security Clearance, * data engineering: 5 years (Preferred)

• Python coding/programming: 5 years (Preferred)
• building and managing data pipelines: 5 years (Preferred)
• data transformation: 5 years (Preferred)
• Foundry : 1 year (Preferred)
• Spark and/or Pyspark: 3 years (Preferred)
• Pandas: 3 years (Preferred)

Pulled from the full job description Professional development assistance Tuition reimbursement Parental leave 401(k) Health insurance Retirement plan 401(k) matching, * 401(k)

• 401(k) matching
• Dental insurance
• Flexible schedule
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Professional development assistance
• Relocation assistance
• Retirement plan
• Tuition reimbursement
• Vision insurance