What are the responsibilities and job description for the Data Platform Engineer position at Deloitte?
Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data solutions that enable analytics, reporting, and business decision-making. This role sits at the intersection of data engineering, system integration, and platform architecture, enabling seamless, secure, and scalable access to enterprise data and AI capabilities. The ideal candidate brings technical experience in data engineering, strong problem-solving skills, and the ability to work across teams in a dynamic environment. The API Platform Engineer will be responsible for building and scaling the API-first consumption layer of the Data.State platform.
Work you'll do
As a Data Engineer II on the Data Engineering team, you will be responsible for...
You will join a team that designs and delivers data engineering solutions that help organizations modernize data platforms and enable analytics, automation, and business insight. The team works across the data lifecycle, including ingestion, transformation, storage, quality, and delivery of data products. Team members collaborate with engineers, analysts, and business stakeholders to build scalable, reliable, and secure solutions.
Qualifications
Required:
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.
Work you'll do
As a Data Engineer II on the Data Engineering team, you will be responsible for...
- Transform the data lake into a fully integrated, API-driven platform, supporting both traditional application consumption and emerging agent-to-agent (A2A) and model context protocol (MCP)-based interactions
- Develop APIs exposing Databricks/ADLS data as services
- Develop and optimize data models, integration patterns, and storage solutions to support analytics, reporting, and operational use cases
- Collaborate with cross-functional stakeholders to define data requirements, troubleshoot issues, and implement data quality controls
- Build and support batch and near-real-time processing solutions using cloud-based and distributed data technologies
- Document technical designs, data lineage, and deployment processes, and support testing, release, and production stabilization activities
- 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
You will join a team that designs and delivers data engineering solutions that help organizations modernize data platforms and enable analytics, automation, and business insight. The team works across the data lifecycle, including ingestion, transformation, storage, quality, and delivery of data products. Team members collaborate with engineers, analysts, and business stakeholders to build scalable, reliable, and secure solutions.
Qualifications
Required:
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
- 3 years of experience designing API development activities across design, implementation, testing, and maintenance
- 1 years of experience using Python and SQL to conduct analysis and build ETL pipelines for production
- 1 years of experience developing and deploying solutions on the Databricks platform
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must possess an active U.S. Secret security clearance and be able to maintain it for the duration of employment and assignment
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Master's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
- Experience in cloud platform development and analytics (e.g., AWS, Azure, Databricks)
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.
Salary : $84,400 - $140,600