Data Engineer (TS/SCI)
Inc. (dci)
Washington, DC, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$160,000.0 - $200,000.0
Working hours
Regular working hours
Job source
Tech stack
Computer Programming
Information Engineering
Data Transformation
Software Debugging
Python (Programming Language)
SQL Databases
Apache Spark
Pandas
Pyspark
Information Technology
Data Pipelines
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 TS/SCI 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)
Security clearance:
- Top Secret (Required)
Benefits & conditions
- 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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