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Azure Synapse Jobs (NOW HIRING)

Prophecy Technologies

Azure Infrastructure Engineer

Detroit, MI · On-site

$106.40K - $139.60K/yr

Design and implement data pipelines using Azure Synapse Analytics, Azure Data Factory, and Event Hubs * Manage Azure data storage solutions including Azure Blob Storage, Azure Data Lake Storage, and ...

SmartIPlace

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Top 3 Must Skills 1. 12+ years hands-on experience building scalable ETL/ELT pipelines using Azure Data Factory (mapping data flows, pipelines, triggers)& Synapse pipelines. 2. Experience building ...

Bluelight Consulting

$94.90K - $113.90K/yr

Azure Synapse Analytics Expertise: Utilize your deep knowledge of Azure Synapse Analytics to design and optimize data notebooks/pipelines for scalability and performance. * Data Fabric Concepts:

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL

$113.50K - $136.30K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113.50K - $136.30K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Bluelight Consulting

$94.90K - $113.90K/yr

Azure Synapse Analytics Expertise: Utilize your deep knowledge of Azure Synapse Analytics to design and optimize data notebooks/pipelines for scalability and performance. * Data Fabric Concepts:

NAVA Software Solutions

Azure Data Lead

Clearwater, FL · On-site

Azure Synapse Analytics - 3 years * SQL Server Data Warehouse - 8 years * Data Modeling - 5 years Responsibilities * You are an expert in Azure Data Analytics having a thorough understanding of Azure ...

DATAMAXIS

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117.20K - $140.70K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Elite WorkForce Inc

NC · On-site

$110.60K - $132.90K/yr

The ideal candidate will leverage Microsoft Azure Synapse Analytics and Power BI to create data pipelines and analytics solutions that meet business requirements. Key Responsibilities: * Design ...

Aroha Technologies Inc

azure data architect

Winters, TX · On-site +1

$60.50 - $78.75/hr

Strong proficiency in Azure Data services (Azure SQL, Azure Data Lake, Azure Synapse) * Experience with data modeling and data warehousing concepts * Excellent problem-solving and analytical skills

Noblesoft Technologies

SME Azure Data Engineer

Jackson, MS · Remote

$117.20K - $140.70K/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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How much do azure synapse jobs pay per hour?

As of May 29, 2026, the average hourly pay for azure synapse in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What is an Azure Synapse job?

An Azure Synapse job refers to a workload or task executed within Azure Synapse Analytics, a cloud-based data integration and analytics service. Jobs in Synapse can include data ingestion, transformation, querying with SQL or Spark, and machine learning workloads. These jobs are typically run within Synapse Pipelines or through dedicated SQL pools and Spark pools, enabling large-scale data processing. They help businesses analyze big data efficiently by leveraging distributed computing and seamless integration with other Azure services.

What are the key skills and qualifications needed to thrive in the Azure Synapse position, and why are they important?

To thrive in an Azure Synapse role, you need a strong background in data engineering, SQL, data modeling, and knowledge of cloud-based analytics, typically backed by a degree in computer science or a related field. Familiarity with tools like Azure Data Factory, Azure Data Lake, Power BI, and relevant Microsoft certifications such as Azure Data Engineer Associate is highly valued. Strong problem-solving skills, communication, and the ability to collaborate in cross-functional teams help you stand out. These technical and interpersonal competencies are crucial for designing scalable data solutions, ensuring data quality, and successfully delivering business insights within complex enterprise environments.

What kinds of projects and teams do Azure Synapse professionals typically work on?

Azure Synapse professionals often work on data integration, analytics, and business intelligence projects, supporting organizations in transforming raw data into actionable insights. They typically collaborate with data scientists, BI developers, business analysts, and IT project managers to ensure data pipelines and analytics solutions align with business goals. Many roles involve a mix of independent technical tasks and teamwork, especially when architecting databases or developing end-to-end analytics workflows. This collaborative environment offers excellent opportunities for professional growth, cross-departmental learning, and involvement in high-impact, strategic data initiatives.
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Azure Synapse jobs near you
Infographic showing various Azure Synapse job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 18% Full Time, 6% Part Time, 1% Temporary, and 74% Contract. Highlights an 83% Physical, and 17% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Senior or Lead Azure Databricks Engineer with Python and Spark - W2 Role

Saransh Inc

Raleigh, NC • On-site

Contractor

Posted 12 days ago

Job description

Role: Senior / Lead Azure Databricks Engineer with Python & Spark
Location: Raleigh, NC (Onsite from Day 1)
Job Type: W2 Contract
 
 
Note: Only Visa Independent candidates are required (No C2C or Third-party candidates)
 
 
Experience Level: Senior (Min 10 plus yrs with Azure Data)
 

Main skill: Data Software Engineering

Skill Spec: DSE Python Azure Databricks

 
Must have skills (Mandatory):
  • Apache Spark
  • Python
  • Azure Data Factory
  • Azure SQL Microsoft
  • Azure Synapse Analytics
  • ETL/ELT Solutions
Nice to have skills:
  • Apache Kafka
  • CI/CD
 
Experience & Qualifications:
  • Expert level understanding of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service
  • Working knowledge of Python
  • Expert level skills writing and optimizing complex SQL
  • Experience with complex data modeling, ETL design, and using large databases in a business environment
  • Experience with building data pipelines and applications to stream and process datasets at low latencies
  • Fluent with Big Data technologies like Spark, Kafka and Hive
  • Designing and building data pipelines using API ingestion and Streaming ingestion methods
  • Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code
  • Experience in developing NoSQL solutions using Azure Cosmos DB
  • Thorough understanding of Azure and AWS Cloud Infrastructure offerings
Key Responsibilities:
  • Design and implement scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services
  • Manage and optimize data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB
  • Monitor and troubleshoot data-related issues within the Azure environment to maintain high availability and performance
  • Automate data pipelines and workflows to streamline data ingestion, processing, and distribution tasks
  • Utilize Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making
  • Provide guidance and support for data governance, including metadata management, data lineage, and data cataloging