Databricks Engineer II

Deloitte • Arlington, VA

6d • $97,700 - $162,800

About The Position

Deloitte’s AI & Engineering team works to transform technology platforms, drive innovation, and support clients’ success. The role is within Deloitte Government & Public Services and its AI & Data offering, which designs, develops, and operates data and AI platforms, products, insights, and services for government and public higher education clients.

The posting describes the position as leading the end-to-end design and deployment of enterprise solutions on the Databricks Platform. The engineer advises clients on data strategy and architects solutions across data engineering, data science, business intelligence, MLOps, and data governance. The work includes delivering scalable data pipelines, analytics-ready data models, and machine learning applications, while mentoring junior team members and leading technical discussions that turn business requirements into solution designs. Travel may be required up to 25% on average.

Requirements

• Bachelor's or master's degree in computer science, engineering, or a related field.
• Legally authorized to work in the United States without employer sponsorship now or at any time in the future.
• Ability to obtain and maintain a U.S. government security clearance.
• At least 2 years of real-world experience in a client-facing role advising on and implementing end-to-end Databricks solutions.
• At least 2 years of project experience with the full Databricks suite, including features for data engineering, data science, and analytics such as Lakeflow Connect, Agent Bricks, and Databricks Apps.
• At least 2 years of experience with cloud ecosystems (AWS, Azure, or GCP) and MLOps principles, including Databricks Platform administration on a cloud provider.
• Ability to travel up to 25% on average, depending on work and clients.
• Ability to work independently and as part of a team; effective written and verbal communication; attention to detail and quality; interpersonal and relationship-building skills; project or workstream leadership; task prioritization in a fast-paced environment; and ability to mentor and provide clear guidance.

Nice To Haves

• Strong leadership, communication, and stakeholder management skills.
• Databricks certifications, such as Data Engineer Professional or Machine Learning Professional.
• Public sector experience.
• Active public sector security clearance.

Responsibilities

• Lead architecture and implementation of advanced Databricks solutions, including large-scale data pipelines and production-ready AI/ML models.
• Advise senior stakeholders on data strategy and best practices for data engineering, MLOps, business intelligence, and data governance on Databricks.
• Oversee the design and development of robust data pipelines, analytics-ready data models, and scalable machine learning applications.
• Guide and mentor junior team members across the data and AI lifecycle and ensure deliverables are high-quality and ready for real-world use.
• Lead technical discussions with business and functional analysts and translate complex requirements into comprehensive solution designs.
• Work independently and collaboratively, manage multiple priorities, build professional relationships, and meet deadlines.

Benefits

• Broad range of employee benefits.
• May be eligible to participate in a discretionary annual incentive program.
• Opportunities for professional development, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level