Data Engineer

About the role

We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more.

As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing.

When you join ALTEN Technology USA, you’ll collaborate on some of the world’s toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow.

ALTEN is seeking a senior Data Engineer to design, build, and support enterprise data products, analytics platforms, and integration solutions. The successful candidate will develop scalable data pipelines, implement modern Lakehouse architectures, integrate operational and enterprise systems, and support reporting, analytics, and digital transformation initiatives.

This role requires strong Databricks expertise and experience building reusable, governed data products that support multiple business and operational consumers.

Qualifications;

- 7+ years of experience in Data Engineering, Data Warehousing, Data Platforms, Analytics Engineering, Data Integration, or related disciplines.

- 2+ years of experience supporting Manufacturing, Industrial IoT (IoT), Operational Technology (OT), Supply Chain, Logistics, Asset Management, or other operationally intensive environments.

- Strong experience designing and implementing enterprise data pipelines.

- Strong SQL and Python development skills.

- Experience integrating multiple enterprise and operational data sources.

- Experience with cloud-based data platforms (Azure preferred).

- Experience supporting production data solutions and enterprise analytics environments.

- Experience implementing data quality, validation, and monitoring processes.

- Experience working with structured, semi-structured, and event-based data.

Technical Skills;

Must Have

- Databricks

- SQL

- Python

- ETL / ELT Development

- Lakehouse Architecture

- Delta Lake

- Bronze / Silver / Gold (Medallion) Architecture

- Data Integration

- Data Modeling

- Data Quality & Validation

- Data Lineage

- Data Product Development

- Git

- CI/CD Fundamentals

- Power BI

- Cloud Data Platforms (Azure preferred)

Strongly Preferred

- Azure Data Factory