Senior Data Engineer (W2 role)

  • Arlington, VA
  • Posted 15 hours ago | Updated 15 hours ago

Overview

Hybrid
$60 - $65
Contract - W2
Contract - 6 Month(s)

Skills

.NET
Agile
Analytical Skill
Analytics
Apache Hadoop
Apache Hive
Apache NiFi
Apache Spark
Apache Sqoop
C#
Cloudera Impala
Predictive Analytics
Problem Solving
Process Improvement
Machine Learning (ML)
Microsoft SQL Server
Python
Collaboration
Communication
Conflict Resolution
Java
Mentorship
React.js
SQL
Scala
Spring Framework
Statistics
Testing
TypeScript
User Experience

Job Details

Title: Senior Data Engineer
Client: Rose International
Location: Arlington, VA, (Hybrid)
Duration: 6 Months
Work Hours: 40 hrs/week

Job Description

As a Sr. Data Engineer, you will:

  • Lead the scoping, design, and implementation of complex features.
  • Build and maintain analytics/data models to enable scalable, performant products.
  • Ensure high-quality code through best practices, reviews, and testing.
  • Mentor junior engineers and drive process improvements.
  • Collaborate with Product Managers and UX Designers to align technical solutions with user needs.
  • Partner across teams to deliver innovative data-driven solutions.

Mandatory Skills

  • 5+ years full-stack engineering in an agile production environment.
  • Strong proficiency in Python or Scala, Spark, Hadoop platforms (Hive, Impala, Airflow, NiFi, Sqoop), and SQL.
  • Experience building/deploying data-driven applications, data pipelines, and machine learning systems at scale.
  • Proficiency with Java/Spring Boot, .NET/C#, React, Redux, Typescript, and SQL Server.
  • Experience leading large-scale technical efforts across multiple teams.
  • Strong problem-solving, analytical, and communication skills.
  • Bachelor s degree in Computer Science or related technical field.

Desirable Skills

  • Experience with predictive analytics, machine learning, and advanced statistics.
  • Strong customer-centric development mindset.
  • Proven ability to mentor junior teammates.
  • Demonstrated improvements in development processes.
  • Ability to work in small, collaborative teams across geographies.
  • Strong academic record and continuous learning mindset.

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