Software Engineer

Overview

On Site
USD 53.00 - 57.00 per hour
Full Time

Skills

Optimization
Collaboration
Regulatory Compliance
Continuous Improvement
Military
Training
Data Processing
Software Engineering
Big Data
Streaming
Performance Tuning
Query Optimization
Apache Hadoop
Cloud Computing
HDFS
Extract
Transform
Load
ELT
Unix
Shell Scripting
RDBMS
Microsoft SQL Server
Oracle
MySQL
SQL
NoSQL
Database
MongoDB
Apache Spark
Agile
Privacy
Marketing

Job Details

Location: Irving, TX
Salary: $53.00 USD Hourly - $57.00 USD Hourly
Description:
Job Title: Software Engineer - Big Data & Distributed Systems (Contingent Workforce)
Location: Irving, TX
Employment Type: Contingent (Contract)
About the Role

As a Software Engineer on this contingent assignment, you will contribute to the design, development, and optimization of scalable data processing systems. You'll collaborate with cross-functional teams to solve moderately complex engineering challenges and support large-scale planning and execution of software deliverables. Your work will help ensure the reliability, performance, and compliance of our data infrastructure.
Responsibilities
  • Participate in the development and delivery of moderately complex software engineering projects.
  • Analyze and resolve technical challenges involving distributed systems and big data technologies.
  • Collaborate with internal stakeholders to define requirements and deliver high-quality solutions.
  • Apply a solid understanding of engineering principles, compliance standards, and operational best practices.
  • Optimize Spark queries and performance for large-scale data processing.
  • Contribute to the continuous improvement of engineering processes and tools.
Minimum Qualifications
  • 4+ years of experience in software engineering or equivalent practical experience (e.g., military service, education, or training).
  • Strong programming skills and experience with distributed data processing frameworks.
Preferred Qualifications
  • 7+ years of professional software engineering experience.
  • 3+ years of hands-on experience with Apache Spark, Hadoop, and big data ecosystems.
  • Proficiency in Spark SQL, Spark Streaming, and DataFrame/Dataset APIs.
  • Experience with Spark performance tuning and query optimization.
  • Deep understanding of Hadoop or cloud-based data platforms, HDFS, ETL/ELT pipelines, and Unix shell scripting.
  • 3+ years of experience with RDBMS technologies such as SQL Server, Oracle, or MySQL.
  • Experience integrating SQL and NoSQL databases (e.g., MongoDB) with Spark.
  • 2+ years of experience working in Agile development environments.

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Contact:

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