Data Scientist – Databricks Genie, AI Analytics

Jobtailor; Ashburn (VA); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Databricks Certification

Job summary

Jobtailor in Ashburn, VA is seeking a data analytics professional to design and deploy advanced analytics and ML solutions using Databricks Genie, building semantic models and governance processes for accurate Genie responses.

You will develop notebooks, workflows, dashboards, and data pipelines, collaborating with data engineers to ensure governed, high-quality datasets for Genie and AI applications, while supporting RAG/LLM use cases in a mission-driven setting.

Qualifications

• Bachelor's degree in IT and 3+ years in information technology.
• 3+ years in data science, ML, analytics, or AI/ML engineering.
• 2+ years hands-on Databricks experience.
• Experience configuring and administering Databricks Genie.
• Strong Python, SQL, and PySpark skills.
• Experience with structured and unstructured datasets.
• Data governance, data quality, and metadata management knowledge.
• Cloud platforms experience (Azure, AWS, or GCP).
• Ability to communicate complex analytics to non-technical stakeholders.
• Databricks certification preferred; federal agency experience a plus.

Responsibilities

• Design, develop, and deploy advanced analytics and ML solutions using Databricks.
• Configure and optimize Databricks Genie spaces for natural language data access.
• Develop semantic models and metadata to improve Genie responses.
• Develop and maintain notebooks, workflows, dashboards, and data pipelines.
• Collaborate with data engineers to ensure governed datasets for Genie and AI apps.
• Support RAG, LLM, and AI-agent use cases leveraging Databricks.
• Participate in a mission-focused delivery team combining development and analytics.
• Help drive innovation to address agency mission concerns.

Skills

Python

SQL

Communication

Education

Bachelor's degree in IT

3 years IT experience

Tools

Databricks

Databricks Genie

PySpark

SQL

Data Modeling

Notebooks

Data Pipelines

Azure

AWS

GCP

Job description

• Design, develop, and deploy advanced analytics and machine learning solutions using Databricks
• Configure and optimize Databricks Genie spaces to enable natural language access to enterprise data
• Develop semantic models, business metadata, and governance processes that improve the accuracy of Genie-generated responses
• Develop and maintain notebooks, workflows, dashboards, and data pipelines within Databricks
• Collaborate with data engineers to ensure high-quality, governed datasets are available for Genie and AI applications
• Support development of retrieval-augmented generation (RAG), LLM, and AI-agent use cases leveraging Databricks capabilities
• Participate in a mission-focused delivery team encompassing application development and analytics work
• Help drive innovation to solve agency mission concerns

Requirements

• U.S. Citizenship is required
• Current CBP/DHS clearance highly preferred
• Bachelor's degree and three years of working experience in the information technology field
• 3+ years of experience in data science, machine learning, advanced analytics, or AI/ML engineering
• 2+ years of hands-on experience with Databricks
• Experience configuring and administering Databricks Genie
• Strong expertise in Python, SQL, and PySpark
• Experience developing semantic layers, data models, and business-friendly metadata structures
• Experience working with structured and unstructured datasets
• Strong understanding of data governance, data quality, and metadata management
• Experience with cloud platforms such as Azure, AWS, or GCP
• Ability to communicate complex analytical concepts to non-technical stakeholders
• Databricks certification preferred
• Experience supporting federal agencies preferred

Core Competencies

Demonstrates expertise in designing and deploying advanced analytics and machine learning solutions using Databricks, with a strong focus on data governance, quality, and metadata management. Proficient in collaborating with cross-functional teams to drive innovation and support federal agency missions.

Highest-signal resume keywords

• Databricks
• Machine Learning
• Python
• Data Governance
• Advanced Analytics

Hard Skills

• Databricks Genie
• SQL
• PySpark
• Data Modeling
• Semantic Layers
• Data Pipelines
• Notebooks Development
• Cloud Platforms
• Structured Datasets
• Unstructured Datasets

Soft Skills

• Communication

Certifications & Qualifications

• Databricks Certification

Industry Keywords

• Federal Agencies
• Data Quality
• Metadata Management
• AI/ML Engineering
• RAG

Tools & Technologies

• Databricks
• Azure
• AWS
• GCP