Job ID: NC-780299 (910791110)
Hybrid/Local (Raleigh ONLY) Azure Databricks Developer (Databricks Data Analyst Associate/15+) with ML, data science, PySpark/Python, ER modeling, Data Vault, Power BI experience
Location: Raleigh, NC (NCDOT)
Duration: 12 Months
Position: 1 (2)
The candidate will need to come on-site on the first day to collect equipment.
All candidates must be local to the Triangle region of North Carolina.
This position may require up to 3 days per week at a Triangle-area office for return to office in addition to various in-person responsibilities, including meetings.
Skills:
Hands-on experience designing, deploying, and managing Azure Databricks architecture in enterprise environments Required 3 Years
Strong understanding of data science concepts, including statistical learning and machine learning algorithms Required 3 Years
Proficiency in SQL and Python for developing queries, data transformations, and interactive dashboards Required 3 Years
Experience with techniques like dimensional modeling, entity-relationship modeling, normalization / denormalization, or Data Vault Required 3 Years
Excellent communication skills with proven ability to collaborate with cross-functional teams and translate business needs into technical solutions Required 5 Years
Job Description:
NCDIT-T Web Systems is seeking a skilled Data Analyst with strong experience in Azure Databricks to support the creation of data aggregations, dashboards, and reports. The ideal candidate will have hands-on expertise with Databricks (PySpark) and visualization tools, including both Databricks native tools and Power BI. In this role, you will be responsible for developing business requirements, supporting change management documentation, and actively collaborating with stakeholders to ensure alignment between data solutions and business needs. You will work closely with a technical lead and participate in design discussions and planning with the broader development team.
Key Responsibilities
Conduct comprehensive data analysis, create data mappings, develop dashboards, and ensure data quality and integrity
Leverage Spark SQL within Databricks to query and analyze large datasets, writing efficient and complex SQL queries
Collaborate closely with data engineers to design and deliver high-quality data products
Develop detailed data mappings to support the integration and transformation of data from diverse sources into structured, analysis-ready formats
Design and build intuitive, informative dashboards using tools such as Power BI or Databricks’ native visualization tools to effectively communicate insights
Build Gold-layer data products to support custom-built dashboards, APIs, and UI tools
Create clear and comprehensive documentation for data pipelines, mappings, models, and dashboard functionality
Perform statistical analysis, data mining, and machine learning to uncover patterns, trends, and actionable insights
Develop and implement predictive models, algorithms, and advanced analytical tools to address specific business challenges
Preferred:
Databricks Data Analyst Associate Certification