Databricks Engineering Consultant

About the role

Join Deloitte's 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.

Responsibilities

• Design, develop, test, and maintain scalable data pipelines and data products on the Databricks platform using tools such as Auto Loader, Declarative Pipelines, and Structured Streaming
• Build and optimize Databricks SQL endpoints, data models, and integrations with business intelligence tools to support analytics and reporting
• Support the development and deployment of machine learning solutions using Databricks, Unity Catalog, and MLflow
• Advise clients on implementation approaches and operational practices across Databricks data, analytics, and machine learning capabilities
• Implement end-to-end Databricks solutions across data ingestion, transformation, governance, and deployment on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)

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

Deloitte's Government & Public Services (GPS) practice—our people, ideas, technology, and outcomes—is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field
• 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 a US government security clearance
• 2+ years of experience developing and deploying solutions on the Databricks platform
• 2+ years of experience with SQL, Python, and Apache Spark
• 2+ years of experience with at least one major cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve

• Databricks Data Engineer Associate, Databricks Data Engineer Professional, or Databricks Data Analyst Associate certification
• Experience supporting government, public sector, or higher education clients
• Active US government security clearance

Pay

For individuals assigned and/or hired to work in California, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to California and 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. 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.