Overview
On Site
53.56/hr - 60.35/hr
Full Time
Skills
Financial Services
Finance
Software Engineering
Training
Military
Big Data
Streaming
Java
Data Processing
Apache Spark
Management
MongoDB
Workflow
Scalability
Data Quality
Job Details
Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Big Data Engineer in Charlotte, NC. Phoenix, AZ or Irving, TX (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months
Required Skills & Experience
What You Will Be Doing
Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months
Required Skills & Experience
- 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
- 3+ years of experience in big data engineering role.
- Solid skill with Apache Spark (batch and/or streaming).
- Strong programming skills in Java.
- Experience with MongoDB.
What You Will Be Doing
- Design and implement large-scale data processing systems using Apache Spark.
- Develop robust, scalable, and high-performance data pipelines.
- Integrate and manage data from various sources including MongoDB.
- Optimize data workflows for performance, scalability, and reliability.
- Ensure data quality, governance, and security best practices are followed.
- Monitor and troubleshoot production data pipelines and systems.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.