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Evening Microsoft Azure Data Engineer Jobs in Tennessee

Senior Data Engineer

Memphis, TN · On-site

$103K - $139K/yr

Azure/Databricks certifications such as Microsoft Certified: Azure Data Engineer Associate . * Hands-on experience with Azure Data Factory, Azure Synapse, Azure Data Lake, and Power BI . * Knowledge ...

Senior Data Engineer (Remote)

Nashville, TN · On-site

$110K - $132K/yr

Senior Data Engineer (Azure / Databricks) Location: Remote Employment Type: Full time Compensation: Commensurate with experience FocusPoint is actively building a pipeline of Senior Data Engineers ...

Senior Data Engineer

Brentwood, TN · On-site

$55 - $65/hr

Senior Data Engineer (Azure / Databricks) Location: Multiple U.S. locations (client sites vary) Employment Type: Full time Compensation: Commensurate with experience FocusPoint is actively building a ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Data Engineer

Chattanooga, TN · On-site

$100K - $135K/yr

Data Engineer - ERP Modernization & Cloud Migration Location: Chattanooga, TN Schedule: 4 days ... Experience working within Microsoft Azure cloud environments * Strong background in data migration ...

Sr. Data Engineer

Nashville, TN · On-site

$102K - $139K/yr

OneOncology is seeking a strong Sr. Data Engineer for a full-time role based in Austin, TX, ... Microsoft Azure), including monitoring, cost optimization, and data security. * Strong ...

Data Engineer

Nashville, TN · Remote

$110K - $132K/yr

Support data engineering execution across complex application development initiatives, ensuring ... Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.

Lead Data Engineer - NBA

Nashville, TN

$99K - $130K/yr

Familiarity with Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, and broader Azure ... Key Responsibilities Microservices & Backend Engineering * Architect, implement, and operate ...

Lead Data Engineer - NBA

Nashville, TN

$99K - $130K/yr

Familiarity with Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, and broader Azure ... Key Responsibilities Microservices & Backend Engineering * Architect, implement, and operate ...

Lead Data Engineer - NBA

Nashville, TN · On-site

$99K - $130K/yr

Familiarity with Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, and broader Azure ... Key Responsibilities Microservices & Backend Engineering * Architect, implement, and operate ...

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building ... Experience with Microsoft Fabric, OneLake, Azure Data Factory, or equivalent cloud data ...

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Evening Microsoft Azure Data Engineer information

What is the difference between Evening Microsoft Azure Data Engineer vs Evening Data Analyst?

AspectEvening Microsoft Azure Data EngineerEvening Data Analyst
CertificationsAzure Data Engineer Associate, Microsoft Certified: Data Analyst Associate
Work EnvironmentCloud platforms, data pipelines, infrastructure management
Primary FocusDesigning and implementing data solutions on Azure
Tools & TechnologiesAzure Data Factory, Azure SQL, Spark, Python

While both roles involve working with data, the Evening Microsoft Azure Data Engineer focuses on building and managing data infrastructure on Azure, whereas the Evening Data Analyst interprets data to generate insights. The Data Engineer handles data pipelines and cloud services, while the Data Analyst emphasizes data visualization and reporting.

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The most popular types of Microsoft Azure Data Engineer jobs in Tennessee are:

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For Evening Microsoft Azure Data Engineer jobs in Tennessee, the most frequently searched job titles are:

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Cities in Tennessee with the most Evening Microsoft Azure Data Engineer job openings:

Senior Data Engineer

Prophecy Technologies

Memphis, TN • On-site

$103K - $139K/yr

Full-time

Re-posted 15 days ago


Job description


We are seeking an experienced Senior Data Engineer with strong expertise in Azure Databricks, Spark, and Azure data services to design and deliver scalable, cloud-based data solutions for healthcare analytics.
The ideal candidate will have hands-on experience in building modern data platforms, implementing CI/CD pipelines, and enabling advanced analytics and machine learning initiatives while ensuring data security and regulatory compliance.
Responsibilities
  • Design, develop, and maintain scalable, secure, and high-performance ETL/ELT pipelines using Azure Databricks, PySpark, Synapse Analytics,
  • Work with structured and unstructured data from various healthcare sources (EHR, claims data, etc.).
  • Implement and optimize data storage solutions using Azure technologies such as Databricks, Azure Data Lake, Azure SQL, Synapse Analytics.
  • Develop and deploy machine learning models and predictive analytics solutions to support healthcare analytics.
  • Ensure data quality, integrity, and security in compliance with HIPAA and other healthcare regulations.
  • Collaborate with data scientists, analysts, and software engineers to deliver high-performance data solutions.
  • Automate data workflows using cicd, and other cloud tools.
  • Monitor and troubleshoot data pipelines to ensure optimal performance and reliability.
  • Participate in technical design reviews and contribute to data platform architecture decisions.
  • Promote data engineering best practices across the organization.

Required Skills & Qualifications:
  • 8+ years of experience as a Data Engineer with a focus on Azure cloud services.
  • Strong understanding of Delta Lake, Lakehouse Architecture, and data warehousing concepts.
  • Strong expertise in SQL, Python, Spark, and Databricks.
  • Azure/Databricks certifications such as Microsoft Certified: Azure Data Engineer Associate.
  • Hands-on experience with Azure Data Factory, Azure Synapse, Azure Data Lake, and Power BI.
  • Knowledge of machine learning models and data science techniques in a healthcare setting.
  • Experience working with FHIR, HL7, and other healthcare data standards.
  • Familiarity with DevOps and CI/CD pipelines for data workflows.
  • Strong problem-solving skills and ability to work in an agile environment.