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Sr. Databricks Engineer

Charlotte, NC, US • Posted 2 hours ago • Updated 2 hours ago

Full Time

On-site

$120,000 - $140,000/yr

Fitment

Dice Job Match Score™

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Job Details

Skills

Databricks
PySpark
Spark
Data Quality
Data Modeling
Data Analysis
Data Engineering
ELT
Extract
Transform
Load
SQL
Python
Microsoft Azure
Microsoft Power BI
Conflict Resolution
Continuous Delivery
Continuous Integration
Insurance
Analytics
Apache Spark
Cloud Computing
Collaboration
Communication
Orchestration
Performance Tuning
Problem Solving
Production Support
Scala
Workflow

Summary

Job Role: Sr. Databricks Engineer

Location: Charlotte, NC/Raleigh, NC

Job Description:

Must Have Technical/Functional Skills

12+ years overall experience in data engineering or related fields.
3 5 years hands-on experience with Databricks and Spark.
Strong proficiency in SQL and data analysis techniques.
Experience with ETL processes, data modeling, and performance tuning.
Familiarity with Python or Scala for data engineering tasks.
Excellent problem-solving and communication skills.

Roles & Responsibilities

We are seeking a hands-on Sr. Databricks Data Engineer to design, develop, and optimize data pipelines and analytics solutions. The ideal candidate will have strong experience in data engineering, ETL development, and production support, ensuring reliable, scalable, and high-performing data operations within Azure environment and can work in a fast-paced environment. Knowledge of insurance domain and Power BI is a plus but not mandatory.

Development

Design, develop, and deploy scalable ETL/ELT data pipelines using Apache Spark, PySpark, and Databricks.
Develop and optimize SQL queries for data transformation and analysis.
Collaborate with product owners, data architects and analysts to build data models, delta lake structures, and data workflows.
Collaborate with data analysts and business teams to deliver actionable insights.
Build job orchestration and monitoring solutions
Ensure data quality, performance, and reliability across workflows.
Develop and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows.
Work with cloud-based data platforms (Azure preferred).

Required Skills & Experience:

10+ years overall experience in data engineering or related fields.
3 5 years hands-on experience with Databricks and Spark.
Strong proficiency in SQL and data analysis techniques.
Experience with ETL processes, data modeling, and performance tuning.
Familiarity with Python or Scala for data engineering tasks.
Excellent problem-solving and communication skills.

Nice-to-Have:

Knowledge of insurance industry data.

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.

Dice Id: 10217521
Position Id: 8960193
Posted 2 hours ago

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