Data Platform Engineer

Deloitte • Dallas, TX

1d • $102,800 - $158,700 • Hybrid

About The Position

This role supports a large financial services client within Deloitte’s AI & Engineering practice. The Data Platform Engineer will join a team building and operating a modern data platform that provides dependable, scalable access to enterprise data for analytics, reporting, and automation. The role involves designing and improving data pipelines, optimizing platform performance, and standardizing how data is ingested, processed, and delivered.

The position is part of Deloitte’s Project Delivery Talent Model, a model tailored for long-term, onsite client service delivery. The role requires a hybrid work arrangement with at least three days onsite at the client location in Dallas, Texas, and average travel of 10% based on work and client needs. Recruiting for this role ends on 11/14/2026.

Requirements

• 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 and clients and industries/sectors served.
• Ability to work in a hybrid model, with a minimum of three days onsite at the client location in Dallas, Texas.
• Ability to work independently and collaboratively 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.

Responsibilities

• 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.

Benefits

• Broad range of employee benefits.
• Opportunities to build new skills, take on leadership opportunities, and connect and grow through mentorship.
• On-the-job learning experiences and formal development programs.
• May be eligible to participate in a discretionary annual incentive program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior