Data Engineer

hackajob; Phoenix (AZ); Hybrid; USD 89,250 - 150,250; Full time

Job summary

A leading technology firm in Phoenix, AZ is seeking a Data Engineer to join its Global Risk & Compliance Technology team. This role involves designing and developing scalable ETL/ELT data pipelines and data models to support analytics. Ideal candidates will have 2–6+ years of data engineering experience, strong expertise in Google Cloud Platform, and proficiency in Python and SQL. This position offers a hybrid work model and the chance to work on significant data-driven projects.

Qualifications

• 2–6+ years of experience in data engineering.
• Strong expertise in Google Cloud Platform (GCP).
• Proficiency in Python for data processing and pipeline development.
• Advanced SQL skills with experience handling large datasets.
• Hands‑on experience building ETL/ELT workflows.

Responsibilities

• Design and develop scalable ETL/ELT data pipelines.
• Build and maintain data models to support risk and compliance reporting.
• Develop and optimize SQL queries for large-scale datasets.
• Work with GCP technologies to implement cloud-based data solutions.

Skills

Data Engineering

Google Cloud Platform (GCP)

Python

SQL

Job description

hackajob has partnered with American Express to support the growth of its Global Risk & Compliance Technology teams, connecting experienced Data Engineers with high impact roles building and scaling enterprise-grade data platforms.

Location: Phoenix, AZ (Hybrid)

Salary: $89,250 – $150,250 per annum

Role Overview

We are looking for a Data Engineer to join the Global Risk & Compliance Technology team at American Express. In this role, you will design, build, and optimize scalable data pipelines and data models that power risk and compliance analytics across the enterprise.

Key Responsibilities

• Design and develop scalable ETL/ELT data pipelines
• Build and maintain data models to support risk and compliance reporting
• Develop and optimize SQL queries for large-scale datasets
• Work with GCP technologies to implement cloud-based data solutions

You’ll Bring

• 2–6+ years of experience in data engineering
• Strong expertise in Google Cloud Platform (GCP)
• Proficiency in Python for data processing and pipeline development
• Advanced SQL skills with experience handling large datasets
• Hands‑on experience building ETL/ELT workflows

Why Apply?

At American Express, you’ll work on enterprise‑scale data platforms that support critical risk and compliance functions. This is an opportunity to deepen your cloud data engineering expertise, collaborate with high performing teams, and contribute to data driven decision making at scale.