Quantum World Technologies Inc.

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in Azure Databricks, with a contract length of "unknown" and a pay rate of "unknown." Candidates should have 7-10 years of experience, strong leadership skills, and relevant certifications preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 15, 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
United States
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🧠 - Skills detailed
#Azure ADLS (Azure Data Lake Storage) #Databricks #Leadership #SQL (Structured Query Language) #Data Storage #Azure DevOps #Deployment #Data Engineering #Azure Databricks #Azure SQL #Data Processing #Code Reviews #Compliance #Data Governance #ADLS (Azure Data Lake Storage) #Cloud #Azure #"ETL (Extract #Transform #Load)" #Libraries #Scala #DevOps #Spark (Apache Spark) #Azure SQL Database #Programming #Data Pipeline #Computer Science #Data Modeling #Python #Storage #ML (Machine Learning) #Data Lake
Role description
Job Title: Azure Data Brick Engineer US NJ Branch Look Core Databricks Candidates (certification preferred) not general Data Engineer. Job Summary: We are seeking a highly skilled and motivated Technical Team Lead with extensive experience in Azure Databricks to join our dynamic team. The ideal candidate will possess a strong technical background, exceptional leadership abilities, and a passion for driving innovative solutions. As a Technical Team Lead, you will be responsible for guiding a team of developers and engineers in the design, development, and implementation of data driven solutions that leverage Azure Databricks. Responsibilities: • Lead and mentor a team of technical professionals, fostering a collaborative and high performance culture. • Design and implement data processing solutions using Azure Databricks, ensuring scalability and efficiency. • Collaborate with cross functional teams to gather requirements and translate them into technical specifications. • Oversee the development lifecycle, from planning and design to deployment and maintenance. • Conduct code reviews and provide constructive feedback to team members to ensure code quality and adherence to best practices. • Stay up to date with industry trends and emerging technologies related to Azure Databricks and data engineering. • Facilitate communication between technical and non technical stakeholders to ensure alignment on project goals. • Identify and mitigate risks associated with project delivery and team performance. Mandatory Skills: • Proven expertise in Azure Databricks, including experience with Spark, data pipelines, and data lakes. • Strong programming skills in languages such as Python, Scala, or SQL. • Experience with cloud based data storage solutions, particularly Azure Data Lake Storage and Azure SQL Database. • Solid understanding of data modeling, ETL processes, and data warehousing concepts. • Demonstrated ability to lead technical teams and manage multiple projects simultaneously. Preferred Skills: • Familiarity with Azure DevOps for CI/CD processes. • Experience with machine learning frameworks and libraries. • Knowledge of data governance and compliance standards. • Strong analytical and problem solving skills. • Excellent communication and interpersonal skills. Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field. • 7 10 years of experience in data engineering, software development, or a related technical role. • Proven track record of leading technical teams and delivering successful projects. • Relevant certifications in Azure or data engineering are a plus.