Data Platform Engineer

About the role

DATA PLATFORM ENGINEER

Data and Analytics | Data Engineering

Dallas, Texas, United States

POSITION SUMMARY

Position Overview

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As a Data Engineer, you will have the ability to share new ideas and collaborate on high-impact projects supporting mission-critical financial services initiatives—without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. The Project Talent Model (PTM) is a talent model tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 11/14/2026.

Work You'll Do / Responsibilities

This role supports a large financial services client within Deloitte’s AI & Engineering practice. You’ll join a team building and operating a modern data platform that provides dependable, scalable access to enterprise data for analytics, reporting, and automation. You’ll design and improve data pipelines, optimize platform performance, and help standardize how data is ingested, processed, and delivered.

* Design, build, and maintain batch and near-real-time pipelines across multiple data sources. * Develop and tune distributed processing jobs, balancing performance, cost, and reliability. * Organize and model data in warehouse and lake environments, keeping it documented and discoverable. * Write clean, tested, version-controlled code and contribute to code reviews and CI/CD. * Implement data-quality checks and monitoring to identify issues before they affect downstream users. * Partner with analysts, product owners, and client stakeholders to translate requirements into technical work. * Contribute to sprint planning, estimation, status reporting, design documentation, and operational procedures.

A successful candidate would possess these skills:

* Ability to work independently and collaborate as part of a team * Effective written and verbal communication skills * Meticulous attention to detail and quality of work product * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong interpersonal skills and professional demeanor * Ability to meet deadlines

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated and verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology and data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.