Regulatory Data Engineer: Reporting & Portfolio Intelligence

Nium; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salaries

Performance bonuses

Sales commissions where applicable

Equity for specific roles

Vacation and year-end shutdown

Flexible hybrid work (3 days in office

Learning stipend

Team events

Diversity embraced

Job summary

Nium invites a Data Engineer to design and build scalable data pipelines powering regulatory reporting and portfolio intelligence across our global operations. You will partner with Compliance, MLROs, Risk, and Product to translate regulatory requirements into robust data solutions.

The role focuses on ingesting and transforming structured and semi-structured data, ensuring accuracy, auditability, and readiness for regulatory submissions while supporting cloud migrations and modern data

Qualifications

• 3–5 years of data engineering or ETL/ELT experience.
• Strong SQL with optimization and data modeling skills.
• Proficient in Python for pipelines and data processing.
• Experience designing API connectors (REST/SOAP) with XML/JSON.
• Familiarity with cloud data platforms and data warehousing.

Responsibilities

• Build scalable data pipelines for regulatory data ingestion and delivery.
• Develop XML and REST API connectors from banking partners and regulators.
• Implement real-time data updates for risk monitoring and reporting.
• Design data models and transformations to support regulatory needs.
• Ensure auditable, quality data with monitoring and compliance checks.

Skills

SQL

Python

API connectors

XML/JSON

Cloud data platforms

Airflow

Data modeling

Kafka / streaming

Tools

AWS Redshift

Snowflake

Google BigQuery

S3 / GCS

Apache Airflow

Kafka

Job description

Nium invites a Data Engineer to design and build scalable data pipelines powering regulatory reporting and portfolio intelligence across our global operations. You will partner with Compliance, MLROs, Risk, and Product to translate regulatory requirements into robust data solutions.

The role focuses on ingesting and transforming structured and semi-structured data, ensuring accuracy, auditability, and readiness for regulatory submissions while supporting cloud migrations and modern data