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Overnight Azure Synapse Analytics Jobs (NOW HIRING)

Senior Data Engineer

$108K - $147K/yr

Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Azure Synapse Analytics, and other Azure services to integrate and process data from various sources.

Azure Databricks Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources. * Optimization:

Senior Data Engineer

$108K - $147K/yr

Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Azure Synapse Analytics, and other Azure services to integrate and process data from various sources.

Azure Data Technical Lead

$65 - $84.75/hr

Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure Databricks, and Azure SQL Database. • Data Architecture: Strong understanding of data modelling, ETL processes, data warehousing ...

Azure Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Design and implement data pipelines using Azure Data Factory (ADF) and Azure Synapse Analytics. * Develop and optimize ETL/ELT processes for structured and semi-structured data. * Build and manage ...

SME Azure Data Engineer

Jackson, MS · Remote

$117K - $140K/yr

Design, build, and maintain Azure-based data pipelines using Synapse Analytics to support MSIS and related education systems. * Develop and optimize ETL/ELT processes to ingest, transform, and ...

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Overnight Azure Synapse Analytics information

See salary details

$61K

$103K

$129K

How much do overnight azure synapse analytics jobs pay per year?

As of Jul 30, 2026, the average yearly pay for overnight azure synapse analytics in the United States is $103,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $122,500.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Azure Synapse Analytics vs Data Engineer?

AspectOvernight Azure Synapse AnalyticsData Engineer
Primary FocusData integration, analytics, and reporting using Azure SynapseBuilding, maintaining, and optimizing data pipelines and infrastructure
Required SkillsAzure Synapse, SQL, data warehousing, ETL processesSQL, Python, Spark, cloud platforms, data architecture
Work EnvironmentCloud-based data platforms, analytics projectsData infrastructure, cloud environments, software development
CertificationsAzure Data Engineer, Azure Solutions ArchitectAzure Data Engineer, cloud certifications, programming skills

Overnight Azure Synapse Analytics specialists focus on managing and analyzing data within Azure Synapse, often working overnight to prepare reports. Data Engineers build and maintain the data pipelines and infrastructure that enable these analytics. While both roles require cloud and data skills, Synapse roles are more analytics and reporting-oriented, whereas Data Engineers focus on data architecture and pipeline development.

More about Overnight Azure Synapse Analytics jobs
What cities are hiring for Overnight Azure Synapse Analytics jobs? Cities with the most Overnight Azure Synapse Analytics job openings:
What are the most commonly searched types of Azure Synapse Analytics jobs? The most popular types of Azure Synapse Analytics jobs are:
What states have the most Overnight Azure Synapse Analytics jobs? States with the most job openings for Overnight Azure Synapse Analytics jobs include:
What job categories do people searching Overnight Azure Synapse Analytics jobs look for? The top searched job categories for Overnight Azure Synapse Analytics jobs are:
Infographic showing various Overnight Azure Synapse Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $103,000 per year, or $49.5 per hour.

Azure Synapse & Power BI Developer

Globenet Consulting Corp

Lynnwood, WA • Remote

$55 - $60/hr

Full-time

Posted 15 days ago


Job description

Role: Azure Synapse & Power BI Developer
Location: Remote (PST timezone preferred)
Why Join The AES Group INC
  •  Long-term opportunity on modern Azure data platforms 
  •  Remote role with collaboration across data engineering and analytics teams 
  •  High-impact work building pipelines and executive-ready dashboards 
Role Overview
The AES Group INC is seeking an experienced Azure Synapse & Power BI Developer to support data engineering, analytics, and reporting initiatives. You will build scalable data pipelines, transform and optimize data in Azure Synapse, and deliver meaningful insights through Power BI dashboards, reports, and semantic models. This role is ideal for someone who combines strong SQL and data modeling skills with a practical, performance-focused mindset.
Key Responsibilities
  •  Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics
  •  Build and optimize ETL/ELT processes to support large datasets and analytics workloads 
  •  Develop and enhance Power BI dashboards, reports, datasets, and semantic models 
  •  Translate reporting and analytics needs into efficient technical solutions and visual outcomes 
  •  Ensure data quality, reliability, and scalability across pipelines and reporting layers 
  •  Tune SQL queries, Synapse workloads, and Power BI models for performance and usability 
  •  Integrate data from cloud and on-premise sources into curated analytics layers 
  •  Follow data governance, security, and access best practices within Azure ecosystems 
Required Qualifications
  • 4+ years in data engineering, BI development, or analytics engineering 
  •  Strong hands-on experience with Azure Synapse Analytics
  •  Strong Power BI skills, including DAX, data modeling, and report development 
  •  Advanced SQL with performance tuning and optimization experience 
  •  Experience with Azure Data Factory or comparable orchestration/ETL tooling 
  •  Proven experience working with large-scale data environments 
  •  Strong problem-solving and communication skills 
  • U.S. citizenship or valid work authorization preferred
Preferred Qualifications
  •  Experience with Azure Data Lake, Databricks, and/or Microsoft Fabric
  •  Solid understanding of data warehousing concepts and architectures 
  •  Experience building semantic models and advanced DAX measures 
  •  Exposure to real-time or streaming pipelines 
  •  Experience working in Agile delivery environments 
Ready to make an impact? Apply now and join us on our journey!