Senior Data Engineer — AI-Driven Analytics Platform

Aquent; Lone Tree (CO); On-site; USD 83,000 - 131,000; Full time

Benefits offered by this job

Subsidized health, vision, and dental

Paid sick leave

Retirement plan with match

Job summary

Aquent is partnering with a leading financial services organization to build robust data foundations for advanced analytics and AI initiatives. The contract role focuses on designing, developing, and maintaining data infrastructure powering modern data products and AI capabilities for strategic decisions.

You will design scalable data marts, ingest data via vendor APIs, and implement robust data pipelines using Python in a cloud environment, enabling analytics and AI use cases across millions of

Qualifications

• Professional experience in data engineering or analytics engineering.
• Advanced SQL skills with the ability to write complex queries from scratch.
• Proficiency in Python for API integration, data extraction and transformation.
• Hands-on experience designing/building data pipelines and analytic data models.

Responsibilities

• Design and build scalable data marts and automated pipelines on a cloud platform.
• Develop pipelines ingesting data from third-party vendor APIs and manage authentication.
• Create reusable API integrations and data transformation components with Python.
• Establish data-quality checks, monitoring, and documentation of data flows.
• Collaborate with BI and analytics teams to support dashboards and AI initiatives.

Skills

Advanced SQL

Python

Data pipelines

Cloud platforms

API integration

Data modeling

ETL processes

Documentation

Communication

Collaboration

Tools

dbt

DLT

DuckDB

Tableau

Looker

Power BI

Job description

Aquent is partnering with a leading financial services organization to build robust data foundations for advanced analytics and AI initiatives. The contract role focuses on designing, developing, and maintaining data infrastructure powering modern data products and AI capabilities for strategic decisions.

You will design scalable data marts, ingest data via vendor APIs, and implement robust data pipelines using Python in a cloud environment, enabling analytics and AI use cases across millions of