Data Engineer

DCI Solutions is looking for a Data Engineer to join a cross-functional team in Colorado Springs. The role focuses on integrating data, turning insights into actionable applications, and supporting operational decisions across the organization. Candidates should bring hands-on Spark, PySpark, and Pandas experience, along with an Active Secret Security Clearance.

Location

Colorado Springs, CO

Job Type

Full-time

Salary

USD 175,000 - 260,000 per year

Work Location

In person

Responsibilities

• 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
• Active Secret Security Clearance required

Technologies

• Spark
• Pyspark
• Pandas
• Python
• SQL
• R
• Foundry

Benefits

• 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

Experience (preferred)

• 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)