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Databricks Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Senior Data Engineer in Pittsburgh, PA, offering a contract position. Key requirements include 5+ years of data warehousing experience, expertise in ETL processes, SQL, and Databricks, along with strong communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 19, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Pittsburgh, PA
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🧠 - Skills detailed
#Requirements Gathering #Data Bricks #Data Warehouse #Data Migration #Databricks #Data Analysis #Data Access #Data Engineering #Data Quality #Database Management #Dimensional Modelling #Data Integration #EDW (Enterprise Data Warehouse) #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Migration #Data Architecture
Role description
Role name: Databricks Senior Data Engineer
Work site: Pittsburgh, PA (Onsite)
Contract Role
Job Description
+years of experience as Datawarehouse Data Engineer.
Data Architecture Design: Develop/Modify the architecture for the EDW, including data models,
data quality standards, data integration strategies, data migration and data warehousing
technologies to effectively store and access data from various sources as per the requirements.
Business Requirements Gathering: Collaborate with business stakeholders to understand their data needs, identify key performance indicators (KPIs), and translate them into data warehouse
requirements.
Data Integration and ETL Development: Design and implementation of ETL processes to extract
data from various source systems,
transform it into a consistent format, and load it into the EDW through Databricks. Proven track
record in implementing data bricks for modernization projects.
Performance Optimization: Monitor and optimize the performance of the EDW to ensure efficient
data access and query response times.
Overall Technical Leader: Provide technical guidance on data warehouse technologies, tools, and
best practices to the relevant stakeholders.
Collaboration with Stakeholders: Work closely with business users, data analysts, and application
developers to understand their data needs and deliver data-driven insights.
Required Skills And Experience
Data Warehousing Expertise: Deep understanding of data warehousing concepts, architectures,
and technologies like dimensional modelling, star schema, Databricks schema, and ETL processes.
Database Management Systems (DBMS): Proficient in SQL's and Databricks.
Data Integration Tools: Familiarity with data integration tools for ETL development and data
cleansing.
Communication Skills: Excellent communication skills to effectively collaborate with stakeholders
from various departments
Role name: Databricks Senior Data Engineer
Work site: Pittsburgh, PA (Onsite)
Contract Role
Job Description
+years of experience as Datawarehouse Data Engineer.
Data Architecture Design: Develop/Modify the architecture for the EDW, including data models,
data quality standards, data integration strategies, data migration and data warehousing
technologies to effectively store and access data from various sources as per the requirements.
Business Requirements Gathering: Collaborate with business stakeholders to understand their data needs, identify key performance indicators (KPIs), and translate them into data warehouse
requirements.
Data Integration and ETL Development: Design and implementation of ETL processes to extract
data from various source systems,
transform it into a consistent format, and load it into the EDW through Databricks. Proven track
record in implementing data bricks for modernization projects.
Performance Optimization: Monitor and optimize the performance of the EDW to ensure efficient
data access and query response times.
Overall Technical Leader: Provide technical guidance on data warehouse technologies, tools, and
best practices to the relevant stakeholders.
Collaboration with Stakeholders: Work closely with business users, data analysts, and application
developers to understand their data needs and deliver data-driven insights.
Required Skills And Experience
Data Warehousing Expertise: Deep understanding of data warehousing concepts, architectures,
and technologies like dimensional modelling, star schema, Databricks schema, and ETL processes.
Database Management Systems (DBMS): Proficient in SQL's and Databricks.
Data Integration Tools: Familiarity with data integration tools for ETL development and data
cleansing.
Communication Skills: Excellent communication skills to effectively collaborate with stakeholders
from various departments
