

Senior MS Azure Database Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior MS Azure Database Engineer, with a contract length of "Unknown" and a pay rate of "Unknown." Required skills include 8+ years in the US, 4+ years in Banking/Brokerage, and expertise in Azure SQL, PowerShell, Python, and data pipelines. A Bachelor's degree in Computer Science is required.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
480
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ποΈ - Date discovered
July 23, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
New York, NY
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π§ - Skills detailed
#Agile #Data Management #Automation #Security #Database Maintenance #Data Lake #Database Architecture #ADF (Azure Data Factory) #Hadoop #Scripting #Data Engineering #Data Ingestion #Microsoft SQL #Computer Science #Azure cloud #MongoDB #Scrum #Cloud #ADLS (Azure Data Lake Storage) #Python #Data Pipeline #.Net #Azure #"ETL (Extract #Transform #Load)" #Azure SQL #C# #SSIS (SQL Server Integration Services) #SQL Server #Data Warehouse #Azure Data Factory #NoSQL #Databases #SQL (Structured Query Language) #Programming #Web Services
Role description
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Looking for Senior Azure Database Engineers to join there growing software development team to:
The Database Developers will be working with our software development team to produce high quality work, participate in development meetings and database architecture meetings, and adhere to project schedules.
The Database Developers will develop and maintain data downloads and processing data transfer utilities.
Will work with the Azure Cloud Environment.
Expected to have excellent communication skills, teamwork, collaboration, and bias for action.
Design and develop optimal database solutions that cater to the variety of application and business requirements.
Create, maintain, and execute SQL Server jobs.
Create, maintain, and deploy SSIS packages using BIDS.
Maintain several databases in Azure Cloud Environment and SQL Server 2019 on-premise.
Ensure performance, security, and availability of databases Experience working in an Agile/SCRUM model.
Requirements
Required Skills
Candidate Years Experience
Must have 8+ years of experience working for US companies in the US.
Must have 4+ years of βRecentβ experience working in a Banking or Brokerage environment.
Must have 6+ years of experience with Azure SQL and Azure Cloud Environments.
Must have minimum of 5 years scripting and automation experience with PowerShell and Python.
Must have experience with USQL and experience in building pipeline from multiple sources.
Must have experience with Azure Data Lake Store(ADLS), Integration Run Time(IR), Azure Data Factory(ADF),File System Data Ingestion, Relational Data Ingestion.
Experience designing and building production data pipelines from ingestion to consumption
Must have experience with Data Lake, Data Factory experience.
Experience in building a data pipeline.
Experience in designing and implementing data engineering, ingestion and curation functions on Azure cloud using Azure native or custom programming
Must have 5 years of experience in design, development, and maintenance of large scale database projects.
Must have 5 years of experience in database maintenance and release operations.
Must have experience with Database Code Promotion and Release Process.
Must have experience with Microsoft SQL, ETL processes using SQL Server Integration Services (SSIS) for large-scale OLTP and data warehouse systems.
Must have experience with evangelizing database best practices across company.
Must have experience with emerging technologies to data management such as Hadoop, MongoDB, and other NoSQL platforms.
Expert knowledge of SQL Server environments for designing and developing databases.
Familiarity with Microsoft .NET framework and C# is preferred.
Exposure to Service Oriented Architecture (SOA) and web services is preferred.
Experience working in an Agile/Scrum environment.
Familiarity with K-12 data warehousing and analytics is preferred.
Bachelor's degree in Computer Science or equivalent degree in a related field is required.