Dofactory.com
Dofactory.com

Mid-level Azure Data Engineer

Company
Corvus Technology Resources
Pay
$105,000 - $135,000 / Year 
--
Fulltime
Level
Mid level
Skills

Job Description

We are seeking a mid-level Data Engineer highly proficient in Azure services: Storage, Server, and Integration. This is a tremendous opportunity for a data engineer with a few years of experience to take the next step in their career. Company is an established small/mid-size consulting firm and rapidly expanding. This position offers excellent career development opportunities.

We are looking for someone who can join as a full-time W2 employee. Please advise contractors will not be considered at this time.

This is a consultant role. You will join our analytics team to support data and assist in driving decisions across different external clients and various industries.

Key Skills: Azure end-to-end services, SQL Server, Power BI, ETL and Scripting.

SCOPE OF WORK

  • Design, build, and maintain scalable data pipelines using Azure Data Factory (ADF) and other Azure services.
  • Administer, monitor, and troubleshoot SQL Server databases, ensuring high performance and availability.
  • Develop and optimize SQL queries and stored procedures to support data transformation and retrieval.
  • Implement and maintain data storage solutions in Azure: Azure SQL Database, Azure Blob Storage, and Data Lakes.
  • Collaborate, build reports, and dashboards using Power BI.
  • Develop scripts and automation in Python, PowerShell, or similar.
  • Ensure data security and compliance with industry standards and organizational policies.
  • Stay updated with the latest technologies and trends in Azure cloud services and data engineering.
  • Demonstrate familiarity with Azure data services (e.g., Azure Synapse Analytics, Azure Databricks, Azure Data Factory).
  • Demonstrate knowledge of data modeling, ETL processes, and data warehousing concepts.
  • Demonstrated experience in healthcare data analytics, including familiarity with healthcare data models such as Encounter models, or Claims focused models

DEAL CANDIDATE PROFILE

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field.
  • At least 3-5 years of experience in data engineering with a strong focus on Microsoft Azure.
  • Experience with machine learning and data science projects (huge plus).
  • Knowledge of additional BI tools and data integration platforms

Job Type: Full-time

Pay: $105,000.00 - $135,000.00 per year

Benefits:

  • 401(k)
  • Dental insurance
  • Health insurance

Experience level:

  • 3 years
  • 4 years
  • 5 years
  • 6 years
  • 7 years
  • 8 years

Schedule:

  • 8 hour shift

Application Question(s):

  • Can you join as a W2 employee or are you looking for contact (C2C)?

Experience:

  • ETL: 1 year (Required)
  • Microsoft SQL Server: 2 years (Required)
  • Azure end-to-end services: 3 years (Required)
  • Scripting: 2 years (Required)
  • Power BI: 1 year (Required)

Work Location: Remote

 
Ref #
2769469
Posted
30+ days ago
  •  
Last updated 30+ days ago


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