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Job Description

DCI Solutions is hiring a Data Engineer to integrate data, build decision-support applications, and support a cross-functional team in New York, NY.

Responsibilities

  • Act as a Data Engineer on a cross-functional team addressing high-priority problems
  • Integrate data, transform information into insights, and build applications for operational decisions
  • Set up transfers of data feeds from source systems to a target location
  • Create transformations and derive new datasets using Spark for distributed computation
  • Monitor build progress and troubleshoot data build failures
  • Design applications that answer operational questions
  • Support RFI requests related to the platform’s data footprint
  • Collaborate with product teams while debugging and understanding the code behind the platform

Requirements

  • BS in Computer Science / Engineering (or related career field) preferred
  • Strong Data Engineering background
  • Experience with Spark, PySpark, and/or Pandas
  • Extensive coding/programming experience in Python
  • Extensive coding/programming experience in SQL, R or similar
  • Strong understanding of algorithms and data structures as they apply to development
  • Foundry experience preferred
  • Active Secret Security Clearance (required)

Technologies

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

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)

Job Type

  • Full-time

Location

  • New York, NY (onsite / in person)

Salary

  • USD 175,000 - 260,000 per year

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

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