Databricks Data Engineer II - AI and Modern Data Platforms

Deloitte France; United States; On-site; USD 87,000 - 171,000; Full time

Job summary

Deloitte’s Core AI & Data practice seeks a Data Engineer II to design, build, and optimize cloud-based data pipelines using Databricks, Spark, Python, and SQL. You will help modernize data platforms, support analytics and AI use cases, and deliver measurable business outcomes for client projects.

The team emphasizes collaboration with business and technology units, data modeling, and performance tuning. Travel up to 50% may be required; a Bachelor's degree and 3+ years of data engineering

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics.
• 3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering.
• 2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL).
• Experience implementing data models, data integration patterns, and cloud‑based data processing workflows.
• Experience working with at least one cloud platform: AWS, Azure, or GCP.
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.

Responsibilities

• Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and SQL.
• Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns.
• Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases.
• Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance.
• Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs.

Skills

Independent work

Team collaboration

Communication

Attention to detail

Relationship building

Project leadership

Multitasking

Interpersonal skills

Deadline oriented

Mentoring

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics

Tools

Databricks

Apache Spark

Python

SQL

Delta Lake

Unity Catalog

Git

Job description

Deloitte’s Core AI & Data practice seeks a Data Engineer II to design, build, and optimize cloud-based data pipelines using Databricks, Spark, Python, and SQL. You will help modernize data platforms, support analytics and AI use cases, and deliver measurable business outcomes for client projects.

The team emphasizes collaboration with business and technology units, data modeling, and performance tuning. Travel up to 50% may be required; a Bachelor's degree and 3+ years of data engineering