This position is no longer accepting applications
Closed on June 30, 2026.
Data Engineer
Big Data
Data Engineer
Data Integration
Data Platform
Data Processing
Foundry Ecosystem
Pandas
Pyspark
Software Engineering
Spark
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Job Description
DCI Solutions is seeking a Data Engineer to join its onsite team in New York City. The role centers on data integration, transforming data into actionable insights, and building applications that support operational decisions on a cross-functional team.
Responsibilities
- Work as a Data Engineer within a cross-functional team to tackle pressing challenges
- Integrate data, derive actionable insights, and develop robust applications for operational decision making
- Set up transfers of data feeds from source systems into the designated location
- Implement transformations and generate new datasets using Spark for distributed processing
- Monitor build progress and troubleshoot build issues
- Design applications that address operational questions
- Respond to information requests related to the platform's data footprint
- Collaborate with product teams to debug and understand the code underpinning the core platform
Requirements
- 3+ years of experience in data transformation
- 3+ years of experience in data engineering
- 3+ years of experience in software engineering
- Experience with Spark, PySpark, and/or Pandas
- Strong understanding of algorithms and data structures as they apply to development and problem solving
- Active DoD Secret Clearance
Technologies
- Python
- Java
- TypeScript
- JavaScript
- Spark
- PySpark
- Pandas
- 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
Location and Compensation
- Location: NYC, NY (onsite)
- Work arrangement: In person
- Salary: $175,000 - $260,000 per year
- Job type: Full-time