Danta Technologies

Databricks Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Engineer in San Francisco, CA, with a contract duration of 6+ months at a pay rate of $40-$50/hr. Key skills include Azure Databricks, Azure Data Factory, strong SQL, and Python/Spark experience.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
400
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πŸ—“οΈ - Date
October 8, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#Big Data #Azure Databricks #Azure Synapse Analytics #SSAS (SQL Server Analysis Services) #Scripting #DevOps #Spark (Apache Spark) #Azure Data Factory #SQL (Structured Query Language) #SSRS (SQL Server Reporting Services) #Data Ingestion #SSIS (SQL Server Integration Services) #Databases #Python #Data Engineering #"ETL (Extract #Transform #Load)" #ADF (Azure Data Factory) #Microsoft Azure #Data Lake #Azure DevOps #Azure #Storage #Synapse #Computer Science #Agile #Databricks
Role description
Danta Technologies is currently hiring a Databricks Engineer. This position is located in San Francisco, CA, and this position requires On-site. I'd like you to go through the job description for your reference. If you are interested, please apply here. Role: Databricks Engineer - Mid-level Location: Onsite - San Francisco, CA Pay Rate - $40/hr - $50/hr on W2 All Inclusive Danta Technologies payroll Duration: Contract 6+ months and possibility for extension - This duration is subject to changes based on the project's requirement and/or the client's sole discretion. Client: Tech Industry The Client Is Looking For a Databricks Engineer Who β€’ Has strong hands-on experience with Azure-based data engineering tools, especially Azure Databricks, Azure Data Factory (ADF), and Azure Synapse. β€’ Can build ETL pipelines, integrate data from various sources, and optimize big data workflows on Azure. β€’ Has strong SQL and relational database skills. β€’ Can work onsite in San Francisco and collaborate with both technical teams and clients (strong communication skills are important). β€’ Ideally, has experience with Python/Spark and is familiar with agile methodologies. Job Description As a Databricks Engineer, you will play a pivotal role in crafting and optimizing Microsoft Azure solutions to meet dynamic client needs. This position offers the opportunity to leverage your expertise in Azure technologies to drive impactful projects that align with the company's strategic objectives. Your work will significantly contribute to enhancing data-driven decision-making and operational efficiency across diverse business units. Detailed Responsibilities β€’ Design and develop software solutions to implement innovative features and support existing applications. β€’ Ingest and integrate data from various source systems into the Azure Analytics Platform using Azure Databricks and Azure Data Factory. β€’ Construct robust Azure Data Factory (ADF) pipelines to facilitate efficient data ingestion and transformation processes. β€’ Collaborate with the technical team to provide design and coding support, ensuring project deliverables are met. β€’ Engage with clients to gather and interpret business requirements, translating them into actionable solutions. Skill Requirements β€’ Demonstrated technical proficiency with the Microsoft Azure Stack (T-SQL, SSIS, SSAS, SSRS). β€’ Expertise in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure DevOps, and Azure Storage/Data Lake. β€’ Experience with ETL processes and strong analytical skills for report development. β€’ Proficiency in relational databases and SQL language. β€’ Bachelor's degree in Computer Science, Information Technology, or a related field. Other Requirements (optional) β€’ Experience with Python scripting and Spark APIs is highly desirable. β€’ Previous experience in a client-facing role will be advantageous. β€’ Familiarity with agile development methodologies and practices. Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law. The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.