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Data Engineer

DCI Solutions Washington, DC

Washington, DC

Today

$175k - $260k/yr Full time Big Data Bigdata Cloud Platform

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Job Description

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

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