Data bricks engineer- Herndon, VA

Herndon, VA, US • Posted 7 hours ago • Updated 7 hours ago

Contract Independent

Contract W2

On-site

Depends on Experience

Fitment

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Job Details

Skills

Modeling
Dimensional Modeling
Documentation
ELT
Extract
Transform
Load
Microsoft Azure
Data Engineering
Data Governance
Data Processing
Databricks
Natural Language Processing
Agile
Analytics
Apache Spark
Artificial Intelligence
Data Cleansing
Data Quality
Python
Regulatory Compliance
Reporting
SAFE
SQL
Scripting
Semantics
Workflow

Summary

Data bricks engineer

Location : Herndon, VA

Key Responsibilities

Implement and optimize data models and structures within Databricks to support efficient querying, analytics, and reporting.
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows, with a strong emphasis on dimensional data modeling and data quality.
Partner with engineering teams and business stakeholders to gather requirements and deliver reliable analytics solutions.
Develop, optimize, and maintain SQL queries, notebooks, and scripts for data ingestion, transformation, and processing.
Ensure data accuracy, consistency, and integrity through validation, monitoring, and data cleansing processes.
Create and maintain comprehensive documentation for data pipelines, models, and analytics solutions.
Monitor, troubleshoot, and optimize data pipelines and analytics workloads to ensure performance and reliability.
Stay current with industry trends, including AI-driven analytics tools, semantic modeling, and emerging data engineering best practices.

Preferred Experience

Hands-on experience implementing and operating solutions in Databricks.
Strong understanding of ETL/ELT architectures and data ingestion patterns.
Proficiency in Python and/or Spark for large-scale data processing.
Experience designing and implementing dimensional data models in data lakehouse environments.
Familiarity with AI-driven analytics platforms, semantic modeling concepts, and NLP techniques.
Experience working in SAFe Agile or other scaled Agile environments.
Solid understanding of data governance, security, and compliance best practices in global environments with numerous data providers and consumers.

Qualifications:

Bachelor's degree in computer science, Data Science, Engineering, or a related field is preferred.
Master s degree is a plus.
Databricks and Azure certifications strongly preferred.

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: 10119144
Position Id: 8884556
Posted 7 hours ago

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Data bricks engineer- Herndon, VA

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