Software Engineer

Overview

On Site
USD 41.00 - 44.00 per hour
Contract - Independent

Skills

Optimization
Research
Collaboration
Software Development
Process Improvement
Regulatory Compliance
Software Engineering
Military
Big Data
Streaming
Query Optimization
Performance Tuning
Apache Hadoop
HDFS
Extract
Transform
Load
ELT
Unix
Shell Scripting
Relational Databases
Oracle
MySQL
SQL
NoSQL
Database
Apache Spark
Microsoft SQL Server
MongoDB
Agile
Computer Science
Replication
Microservices
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Pivotal
Cloud Foundry
Apache Kafka
Privacy
Marketing

Job Details

Location: Irving, TX
Salary: $41.00 USD Hourly - $44.00 USD Hourly
Description:
Job Title: Software Engineer (Contingent Resource)

Location: Irving, TX
Job Type: Contract / Contingent
About the Role

As a Software Engineer in this contingent role, you will contribute to the development and optimization of data-intensive applications and systems. You'll work on low to moderately complex engineering initiatives, identify opportunities for process improvements, and support the delivery of scalable, high-performance solutions. This role requires a strong foundation in big data technologies, cloud platforms, and distributed systems.
Responsibilities
  • Contribute to software engineering projects of low to moderate complexity.
  • Analyze technical challenges and recommend solutions using sound judgment and research.
  • Collaborate with cross-functional teams to support software development lifecycle activities.
  • Identify and implement process improvements to enhance system performance and reliability.
  • Communicate technical concepts clearly to internal stakeholders and engineering partners.
  • Ensure compliance with internal policies, procedures, and regulatory requirements.
Minimum Qualifications
  • 2+ years of experience in software engineering or equivalent (e.g., military service, education, or consulting).
  • 2+ years of hands-on experience with Apache Spark, Hadoop, and big data ecosystems.
  • Proficiency in Spark SQL, Streaming, and DataFrame/Dataset APIs.
  • Experience with Spark query tuning and performance optimization.
  • Strong understanding of Hadoop/cloud platforms, HDFS, ETL/ELT processes, and Unix shell scripting.
  • 2+ years of experience with relational databases (e.g., SQL Server, Oracle, MySQL).
  • Experience integrating SQL and NoSQL databases with Spark (e.g., MS SQL Server, MongoDB).
  • 2+ years of experience working in Agile development environments.
Preferred Qualifications
  • Bachelor's degree or higher in Computer Science or a related technical field.
  • Deep understanding of distributed systems (e.g., CAP theorem, replication, consistency models).
  • 2+ years of experience developing microservices.
  • Experience building cloud-native applications on AWS, Google Cloud Platform (Google Cloud Platform), or Pivotal Cloud Foundry (PCF).
  • 1+ years of experience with Apache Kafka or Confluent Enterprise.
  • Ability to work independently and collaboratively in a fast-paced team environment.

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Contact:

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