Data Engineer
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Role details
Tech stack
Job description
- 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
Requirements
· 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)
Benefits & conditions
Professional development assistance, Tuition reimbursement, Parental leave, 401(k), Health insurance, Retirement plan, 401(k) matching, Paid time off Full-time Colorado Springs, CO 80909, * 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
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Prepare application
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- Open in Claude
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