Job Description

Location: Charlotte, NC/ Iselin, NJ / Dallas, TX

Duration: 12+ months

• Bachelor's or Master's degree in computer science, Information Systems, or a related field.
• 8+ years of data engineering experience (at least 2 years in financial services or regulated environments).
• Expert knowledge of BigQuery, Cloud Storage, Dataflow, and Pub/Sub on Google Cloud Platform.
• Strong experience with SQL, Spark, Python, PySpark and data orchestration tools (Airflow, Cloud Composer, Dagster).
• Demonstrated success designing modular, reusable data frameworks and libraries.
• Deep understanding of data lake and warehousing concepts, ELT/ETL patterns, and financial data modeling.
• Familiarity with security standards and compliance frameworks (e.g., PCI DSS, GDPR, SOC 2, ISO 27001).
• Experience with real-time financial data streams (trading, payments, or fraud detection).
• Familiarity with risk and regulatory reporting systems (Basel II/III, MiFID II, CCAR, IFRS).
• Exposure to data science enablement, ML Ops/Data Ops. Example: building feature pipelines for credit risk, fraud, or customer analytics.
• Experience with dbt, Looker, or Looker Studio for semantic modeling and reporting

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