Data Engineer

DCI Solutions is hiring a Data Engineer in Washington, D.C. for an onsite role supporting a cross-functional team. The position focuses on integrating and transforming data and building applications that enable operational decision-making, with an active Secret security clearance required.

Role Overview

Serve as a Data Engineer on a collaborative, cross-functional team to address priority problems through reliable data integration, transformation, and application development. Work includes setting up data feed transfers from source systems, building Spark-based transformations for distributed computation, and designing solutions that answer operational questions.

Responsibilities

• Act as a Data Engineer on a cross-functional team to support solutions for pressing business needs
• Integrate data, transform insights, and build applications that support operational decisions
• Set up transfers for data feeds from source systems into the required location
• Write transformations and derive new datasets using Spark for distributed computation
• Monitor build progress and debug build issues as they arise
• Design applications that address operational questions and support platform use cases
• Execute requests for information (RFI’s) related to the platform’s data footprint
• Collaborate with product teams while debugging and understanding code behind the platform

Required Qualifications

• Education: BS in Computer Science / Engineering (or a related career field)
• Security: Active Secret security clearance (Required)
• Programming: Extensive coding/programming experience in Python
• Data: Extensive coding/programming experience in SQL, R or similar
• Foundational knowledge: Strong understanding of algorithms and data structures as they relate to development
• Data engineering background: Strong background in data engineering
• In-person work location: Work location is in person

Preferred Qualifications

• Data ecosystem experience: Experience with Spark, PySpark, and/or Pandas
• Foundry: Experience with Foundry is preferred
• Experience (preferred): 5 years in data engineering, Python coding/programming, building and managing data pipelines, and data transformation
• Additional experience (preferred): 1 year with Foundry, 3 years with Spark and/or PySpark, and 3 years with Pandas

Technologies

• Spark, PySpark, Pandas
• Python
• SQL
• R
• Foundry

Location and Compensation

• Location: Washington, D.C. (onsite)
• Salary: USD 175,000 - 260,000 per year
• Minimum experience: 1 years

Benefits

• 401(k) with 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