Data Engineer - ETL

DCI Job Requirement for:

Data Engineer

Location: Washington, DC

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

Qualifications:

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

· Strong Data Engineering background

· Experience building, maintaining, fixing, and refactoring ETL pipelines

· Experience with Spark, Pyspark, Polars (or similar)

· Extensive experience coding/programming in:
• Python
• SQL, R or Similar

· Hands-on data storage experience

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

· Experience with Foundry is highly preferred

Required: Active Secret Security Clearance

Job Type: Full-time

Salary: $175,000-$260,000

Job Type: Full-time

Pay: $175,000.00 - $260,000.00 per year

Benefits:
• Relocation assistance

Experience:
• 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:
• Secret (Required)

Work Location: In person