Data Warehouse Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Warehouse Engineer in San Jose, CA, for 6 months at $98.59/hour. Requires 8+ years in data engineering, proficiency in SQL/Python, and experience with Azure and Databricks. Strong communication skills are essential.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
784
🗓️ - Date discovered
May 15, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
San Jose, CA
🧠 - Skills detailed
#Data Ingestion #Cloud #Data Quality #Data Modeling #Storage #Azure Data Factory #ADF (Azure Data Factory) #Data Engineering #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Python #Azure #Data Access #Data Pipeline #Data Warehouse #Databricks #Data Storage
Role description
Job Title: Data Developer Location: San Jose, CA 95110 (Hybrid) Duration: 6 months Contract Type: W2 only Pay Rate: $98.59/Hour Duties: • You will translate the business requirements into technical specifications using logical and critical thinking skills. You will profile data, join them, cleanse them, and build data products that meet the business requirements. • You will troubleshoot and resolve issues related to data quality, data incompleteness, and data pipeline. You will have the ability to identify the root cause of poor code performance and resolve them through code optimization, modifying data structures, and configuration changes. • You will support multiple ongoing projects in a fast-paced environment across a global company • You should be comfortable with the design and implementation of any stage of an end-to-end data pipeline, including data ingestion, processing, transformation, and storage. Required Skills: • A willingness to learn Client’s business processes, systems, and the technologies used. • Strong communication and collaboration skills essential. The ability to work with Product Owners and Stakeholders to reach consensus during design and development is crucial. You will need to clearly explain data nuances, data quality issues, and limitations to non-technical colleagues. • The ability to read complex SQL or Python queries, understand them, and modify them for efficiency and readability. • A minimum of 8 years of experience in data engineering or related roles, with a solid background in data warehousing, data modeling, data access, and data storage techniques. • Proficiency in SQL or Python with at least 8 years of experience. • Experience with cloud platforms such as Databricks, Azure and proficiency in cloud services such as Azure Data Factory. Education: • Bachelors or Masters