Software Engineer (Contingent Assignment)
THE JUDGE GROUP, INC.
Charlotte, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
$ 119KJob location
Charlotte, United States of America
Tech stack
Agile Methodologies
JIRA
CA Workload Automation Ae
Big Data
Command-Line Interface
Data Control
Linux
Python
Scala
Shell Script
Software Engineering
Data Processing
Spark
GIT
Integration Frameworks
Software Version Control
Data Pipelines
Job description
In this contingent role, you will contribute to the design, development, and support of large-scale data engineering initiatives. You'll work on moderately complex technical challenges, collaborate with cross-functional partners, and support delivery of software engineering solutions across the Big Data ecosystem. This role requires strong analytical skills, technical proficiency, and the ability to drive workstreams end-to-end with minimal oversight. What You'll Do
- Contribute to planning, designing, and delivering software engineering components across large-scale data initiatives.
- Analyze technical challenges requiring evaluation of multiple variables, proposing practical and scalable solutions.
- Support resolution of moderately complex engineering issues by applying knowledge of standards, processes, and compliance requirements.
- Collaborate with engineering teams, product partners, and client stakeholders to support project execution.
- Work across Big Data pipelines including data sourcing, conformance, and curation.
- Apply best practices in data processing, controls, and Agile delivery.
Requirements
- 4+ years of experience in Software Engineering (Experience may be demonstrated through professional work, consulting, military service, training, or education.)
Technical Skills
- Big Data Development: Spark, Scala, Python
- Workflow & Scheduling: Autosys
- Version Control: Git
- Linux & Tooling: Linux shell scripting, command-line tools
- Development Environments: PyCharm, Dremio, and similar interfaces
- Internal Tools: Flow Master, Edit Upload (preferred if prior Wells Fargo experience)
Preferred Skills
- Hands-on experience across Big Data platforms and modern data processing frameworks
- Experience with data quality, data controls, and structured data pipelines
- Strong accountability mindset with ownership of workstreams end-to-end
- Experience working in Agile environments (Jira)
- Familiarity with financial crimes data domains such as:
- Transaction Monitoring
- Customer Risk
- Investigations and related FinCrime data use cases