Payrate: $77.00 - $78.00/hr.
Summary: We are seeking a highly skilled Senior Azure Data Engineer to join our growing data team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and architectures using Microsoft Azure services. You will collaborate closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and efficiently processed.
Key Responsibilities: - Design, build, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Databricks, and PySpark.
- Architect and implement cloud-based data solutions on Azure, leveraging services such as Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
- Develop and optimize complex SQL queries and stored procedures for data transformation and reporting.
- Work with structured and unstructured data to create clean, reusable datasets for analytics and business intelligence.
- Monitor, troubleshoot, and improve the performance and reliability of data workflows and pipelines.
- Ensure data quality, governance, and security standards are consistently met.
- Collaborate with data scientists and analysts to support ML and AI initiatives.
- Contribute to best practices, documentation, and knowledge sharing within the data engineering team.
Experience: - 5+ years of experience in data engineering or a related field, with at least 2+ years focused on Azure cloud technologies.
Skills: - Deep experience with Azure Data Factory, Databricks, Azure Synapse, and Azure Data Lake Storage.
- Proficient in Python and PySpark for data manipulation and processing.
- Strong expertise in SQL and data modeling principles.
- Solid understanding of cloud architecture, data warehousing concepts, and distributed systems.
- Experience with DevOps practices, CI/CD pipelines, and version control (e.g., Git) is a plus.
- Excellent communication and collaboration skills.
Pay Transparency: The typical base pay for this role across the U.S. is: $77.00 - $78.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy .
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions. By applying to this position, you agree to Aditi's use of AI technology including calls from an AI Voice Recruiter.