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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 will focus on building scalable data pipelines, improving data quality, and supporting modern data platform capabilities across client and business needs. The ideal candidate brings technical experience in data engineering, strong problem-solving skills, and the ability to work across teams in a dynamic environment. Work you'll do As a Data Engineer II on the Data Engineering team, you will be responsible for...

• Design, build, test, and maintain scalable data pipelines and workflows for ingesting, transforming, and delivering structured and unstructured data
• 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 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 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 The team 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, building, and maintaining data pipelines and ETL/ELT workflows
• 3+ years of experience using SQL, Python, or PySpark for data ingestion, transformation, and automation
• 3+ years of experience using Palantir Foundry, including Pipeline Builder and Ontology-based data modeling
• 1+ years of experience monitoring data pipelines, troubleshooting issues, and supporting data quality and system reliability
• Abili.

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