Data Platform Engineer

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.

Qualifications

Required

• 7+ years of professional experience building and supporting data pipelines or data platforms in a client facing consultant role
• 3+ years of hands-on experience using Python and SQL for data engineering.
• 5+ years of experience with AWS, Azure, or GCP and its data services.
• 3+ years of experience with distributed data processing frameworks, such as Spark, and relational databases.
• 5+ years of experience using Git-based workflows and CI/CD practices.
• 5+ years of experience collaborating with business or client stakeholders to translate requirements into technical solutions and communicate progress.
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline, and/or equivalent professional experience.
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

• Must be able to work in a Hybrid model – minimum of 3 days onsite at the client location in Dallas, TX.

For individuals assigned and/or hired to work in Dallas, Texas, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Dallas, Texas and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate of the current range is $102800 to $158700.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.