Data Engineer II
Role details
Job location
Tech stack
Job description
Data Engineer II Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
Work You'll Do
As a Data Engineer II on the team, you will:
- Work directly with data scientists and AI model developers to migrate data pipelines and training/inference workloads onto a federated AI platform, ensuring scalability and performance.
- Research, design, develop, and test distributed AI workflows, including data preprocessing, model training, and inference across AWS, GCP, and Azure environments.
- Provide hands-on technical support to data science teams, including troubleshooting VM, OS-level, and cloud infrastructure issues impacting model execution.
- Develop and maintain expertise in federated learning frameworks, including NVIDIA FLARE, to enable secure and efficient distributed model development.
Requirements
- 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 build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others, * Bachelor's degree
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Must be able to obtain and maintain the required clearance for this role
- 2+ years of experience working in agile environments with hands-on involvement in testing and validating data, ML, or distributed workflows
- 2+ years of experience implementing solutions in cloud environments (AWS, GCP, or Azure), including deploying data pipelines or AI/ML workloads
- 2+ years of experience with cloud networking fundamentals, including configuring and troubleshooting network components supporting distributed systems
- 2+ years of experience supporting or contributing to AI/ML or GenAI solutions, with exposure to model architecture, training, or inference workflows
- 2+ years of experience developing in Python for data engineering, automation, or machine learning use cases
Preferred:
- 2+ years of experience refactoring and optimizing code for performance, scalability, and maintainability in cloud or distributed environments
- 2+ years of experience with identity and access management concepts in cloud or federated environments
- 2+ years of experience working with modular cloud platforms, orchestration tools, or model control processes supporting ML pipelines
The wage range for this role 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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. 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 $97,700 to $162,800.
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.