Data Engineer, AI & FinTech Pipelines (Remote)

Ussfcu; United States; Remote; USD 98,000 - 189,000; Full time

Benefits offered by this job

Health Insurance and Benefits package

401(k) Retirement Plan

Incentive bonus

Job summary

United States Senate Federal Credit Union is seeking an experienced Data Engineer to lead greenfield data projects, architecting financial systems from the ground up. You will work on data pipelines, data warehouses, and AI agent observability in a collaborative, innovative environment that encourages your ideas.

You will be part of a small, agile team shaping data-driven decisions across member data management and transaction processing.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3 years of data engineering experience with SQL, data modeling, ETL development, and data warehousing.
• Experience in cloud data architecture and engineering; coding in Python, Scala, Spark, or Java.

Responsibilities

• Design, build, and maintain ETL pipelines from diverse source systems.
• Develop, automate, and monitor scheduled data processing and reporting jobs using orchestration tools (Airflow, Dagster).
• Implement and manage SQL databases and data warehouse solutions; optimize performance.
• Create data models for reporting on member growth, loan performance, and operational metrics; document data lineage and business logic.
• Collaborate with Product/Engineering to integrate AI into products and run experiments; establish data governance and mentor juniors.

Skills

Python

SQL

Data modeling

ETL development

Data warehousing

Cloud data architecture

Leadership experience

Analytics

Education

Bachelor's degree in Computer Science/Engineering

Tools

Apache Airflow

Pentaho

Talend

SSIS

PostgreSQL

MySQL

SQL Server

OpenTelemetry

Langfuse

Job description

United States Senate Federal Credit Union is seeking an experienced Data Engineer to lead greenfield data projects, architecting financial systems from the ground up. You will work on data pipelines, data warehouses, and AI agent observability in a collaborative, innovative environment that encourages your ideas.

You will be part of a small, agile team shaping data-driven decisions across member data management and transaction processing.