Our client, a IT Services and Consulting company, is looking for a Data Engineer / Data Platform Engineer (Python, PySpark) for their Charlotte, NC location.
Responsibilities:
Financial Crimes Technology team is evolving toward more in-house build capabilities and reducing dependency on legacy vendor/tooling approaches.
This role will support data engineering and platform development for financial crimes use cases (AML, investigations, sanctions, fraud, KYC) by building scalable pipelines, improving data quality, and enabling analytics/reporting and downstream applications.
Build and maintain batch and/or streaming data pipelines supporting financial crimes initiatives.
Develop data transformations using Python + PySpark and optimize performance for large datasets.
Apply strong understanding of Apache Spark architecture (executors, partitions, shuffles, joins, caching) to improve performance
Partner with business and technical stakeholders to translate requirements into data models, mappings, and curated datasets.
Support ingestion from multiple sources (transactional systems, case management, reference data, etc.).
Implement data quality checks, reconciliation, and controls to ensure auditability and reliability.
Contribute to modernization efforts (legacy → in-house build) including migration planning and redesign.
Create documentation for pipelines, logic, and operational runbooks.
Work within Agile delivery (Jira), supporting sprint execution and delivery timelines.
Requirements:
5+ years of experience in data engineering / ETL / data platform development
Experience working with large-scale data sets and performance tuning.
Strong understanding of data concepts: data modeling, lineage, metadata, governance
Experience supporting regulated environments with emphasis on controls and audit readiness
Strong communication skills (ability to work with both engineering + business partners
Experience running PySpark workloads on Google Cloud Platform (GCP)
Dataproc, BigQuery, Google Cloud Storage (GCS), etc.
Experience with cloud native Big Data platforms
Knowledge of data governance, security, and compliance practices
Experience with CI/CD pipelines for data engineering workloads
Orchestration: Airflow (or similar scheduling tools)
ICONMA is a global information consulting management firm providing Professional Staffing Services and Project-Based Solutions for organizations in a broad range of industries.
Corporate Headquarters in Troy, Michigan; 20+ locations worldwide.
Certified Woman-Owned Business Enterprise (WBE); certified by Women’s Business Enterprise National Council, National Women Business Owners Corporation (NWBOC); and California Public Utilities Commission (CPUC).
Founded in 2000
2000+ Employees
The company was founded on the principle that success is derived from delivering high quality service and resources in the most responsive, flexible, and innovative way. ICONMA invests in people and resources with a single goal: To provide our customers with the highest quality service in the most responsive manner. Through its network of offices, ICONMA provides the resources to help clients maintain their competitive advantage.
Skills
Access Controlunmatched
Agile Programming Methodologiesunmatched
Apache Sparkunmatched
Atlassian JIRAunmatched
Automationunmatched
Big Dataunmatched
Cachingunmatched
Case Managementunmatched
Cloud Computingunmatched
Cloud Storageunmatched
Communication Skillsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cryptographyunmatched
Data Managementunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Setsunmatched
Database Extract Transform and Load (ETL)unmatched
DevOpsunmatched
Documentationunmatched
Fraud Investigationunmatched
GCP (Good Clinical Practices)unmatched
Gitunmatched
Health Planunmatched
Information Technology Consultingunmatched
Information/Data Security (InfoSec)unmatched
Know Your Customer (KYC)unmatched
Machine Toolunmatched
Metadataunmatched
Money Launderingunmatched
Performance Managementunmatched
Performance Tuning/Optimizationunmatched
Python Programming/Scripting Languageunmatched
Quality Managementunmatched
Reconciliationunmatched
Regulationsunmatched
Release Management/Engineeringunmatched
Requirements Managementunmatched
Riskunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Software Engineeringunmatched
System Migrationunmatched
Systems Administration/Managementunmatched
Training Data Setsunmatched
Transaction Processing/Managementunmatched
Use Casesunmatched
Warehousingunmatched
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