BayOne Solutions

Databricks Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Data Engineer with 8-10 years of software development experience, including 7 years in SQL and Databricks. Requires strong skills in data architecture, ETL processes, and Python. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
May 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#Databases #NoSQL #Python #Deployment #Data Modeling #Physical Data Model #Data Extraction #Data Architecture #DataStage #ADF (Azure Data Factory) #Scala #Kafka (Apache Kafka) #"ETL (Extract #Transform #Load)" #Databricks #BI (Business Intelligence) #SQL (Structured Query Language) #Data Quality #Data Accuracy #Data Integration #Data Engineering
Role description
JOB DESCRIPTION: • Looking at 8-10 years of software development and deployment experience with at least 7 years of hands-on experience with SQL, Databricks, DataStage (or other ETL tool). • Write SQL for processing raw data, Kafka ingestions, ADF pipelines, data validation, and QA. • Knowledge working with APIs to collect or ingest data. • Experience with advanced SQL and Python. • Strong Database knowledge, SQL & No-SQL preferred. OTHER RESPONSIBILITIES: • Data Architecture Design: Responsible for designing the overall data architecture and data modeling strategies for the BI system. They collaborate with stakeholders to understand business requirements and translate them into a robust and scalable data model. Create logical and physical data models using best practices to ensure high data quality and reduced redundancy. • Data Integration: Will work on integrating data from various sources, such as databases warehouses and external systems. They develop strategies for data extraction, transformation, and loading (ETL) processes to ensure data accuracy, consistency, and availability for reporting and analysis.