Databricks Data Specialist - hybrid

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Algorithms
Analytical Skill
Apache Spark
Collaboration
Communication
Dashboard
Data Analysis
Data Integration
Data Mining
Data Modeling
Data Quality
Data Science
Databricks
Dimensional Modeling
Machine Learning (ML)
Microsoft Azure
Microsoft Power BI
Modeling
Normalization
PySpark
Python
Release Management
Reporting
SQL
Statistics
UI
Visualization
Writing

Job Details

Duration: Long-term contract

Role Overview

NCDIT-T Web Systems is seeking a highly skilled Data Specialist with expertise in Azure Databricks to design and deliver advanced data solutions. The specialist will be responsible for data analysis, building aggregations, developing dashboards, and supporting reporting needs.

The ideal candidate will bring hands-on experience with Databricks (PySpark), SQL/Python, and visualization tools (Power BI and Databricks native visualizations). This role requires close collaboration with stakeholders, data engineers, and technical leads to ensure alignment between data solutions and business requirements.

Key Responsibilities

  • Perform comprehensive data analysis, create mappings, and ensure data quality and integrity.

  • Use Spark SQL in Databricks to query and analyze large datasets, writing efficient, complex queries.

  • Collaborate with data engineers to design and deliver high-quality data products.

  • Develop data mappings to support data integration and transformation from multiple sources.

  • Build Gold-layer data products for dashboards, APIs, and UI tools.

  • Create intuitive, interactive dashboards with Power BI or Databricks visualization tools.

  • Document pipelines, mappings, data models, and dashboard functionality.

  • Apply statistical analysis, data mining, and machine learning to identify insights.

  • Develop and deploy predictive models, algorithms, and advanced analytical tools to address business needs.

Required Skills & Experience

  • Azure Databricks (architecture, design, deployment, management) 3 years

  • Strong understanding of data science concepts (statistical learning, machine learning) 3 years

  • Proficiency in SQL & Python for queries, transformations, and dashboards 3 years

  • Experience with data modeling techniques (dimensional modeling, ER modeling, normalization/denormalization, Data Vault) 3 years

  • Excellent communication skills with ability to work cross-functionally and translate business needs 5 years

Preferred

  • Databricks Data Analyst Associate Certification

This role offers the opportunity to work on enterprise-level data solutions in a hybrid environment with the State of North Carolina. Candidates must be local to the Triangle region and available for occasional onsite work (up to 3 days/week).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.