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Remote Azure Synapse Analytics Jobs (NOW HIRING)

Sarian, Inc.

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 ...

DATAMAXIS

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/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 ...

Inherent Technologies

Azure Databricks Architect

Chandler, AZ · Remote

$65 - $84.75/hr

Minneapolis/Remote 12+ years of Data Solutions Design/Development Experience with at-least 2+ years ... Azure Synapse Analytics or Snowflake on Azure based solutions o Data Migration to Azure o Azure ...

Lorven Technologies

Azure Data Engineer

$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 ...

Datamaxis

Senior Azure Data Engineer

$117K - $140K/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

$113K - $136K/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

$117K - $140K/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 ...

WATI

ETL Consultant

ETL Consultant Downey CA (Remote) Duration: 12 months Skills Required The Informatics Data Analyst ... Ability to optimize query performance and data processing in Azure Synapse Analytics through ...

E-Solutions

MS Data Fabric Architect

$65.25 - $84/hr

Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Power BI, SQL, DAX Preferred skills: DevOps, CI/CD Work Location (City, State): Warren, New Jersey Open for Remote (Yes/No): Yes ...

Apex Informatics

MS Fabric Engineer

Title: MS Fabric Engineer Remote Key Responsibilities * Fabric Ecosystem Management: Design and ... Familiarity with Azure Data Lake Storage (ADLS Gen2) and Azure Synapse Analytics.

thg

Senior Data Engineer (REMOTE OR MA BASED)

Worcester, MA · On-site +1

$105K - $143K/yr

... remote work arrangement. This is a full-time, exempt position. POSITION OVERVIEW: This role will ... Build solutions within Azure Data Services (Azure Synapse Analytics, Azure SQL Database, Azure Data ...

Georgia IT Inc

Expert Microsoft Azure/Fabric Data Remote

$56.25 - $69.75/hr

Newark-NJ (100% Remote) Duration: 3-6 Months Qualification * Bachelor's degree in computer science ... Experience with Microsoft Azure services, specifically Data Factory, ADLS Gen2, Synapse Analytics ...

My3Tech Inc

Azure Data Engineer

$117K - $140K/yr

Austin, TX (Remote OK) Type: C2C/Fulltime Client: Loblolly/State of Texas Position Requirements ... and Synapse Analytics. The agency is implementing a new data pipeline in the Azure cloud ...

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

As of Jul 7, 2026, the average yearly pay for remote 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 a Remote Azure Synapse Analytics professional?

A Remote Azure Synapse Analytics professional is an expert who works with Microsoft Azure Synapse Analytics—a cloud-based analytics service—while working remotely, often from home or another location outside of a traditional office. Their responsibilities typically include designing, developing, and managing data integration, analytics, and big data solutions using Synapse. They collaborate with data engineers, data scientists, and business stakeholders to deliver insights and ensure the efficient processing of large datasets. Remote professionals use cloud tools to access resources and communicate with teams, making location flexibility possible.

What are the key skills and qualifications needed to thrive as a Remote Azure Synapse Analytics professional, and why are they important?

To thrive as a Remote Azure Synapse Analytics professional, you need strong expertise in data engineering, SQL, data warehousing concepts, and a solid understanding of Azure cloud platforms, often supported by a degree in computer science or a related field. Familiarity with tools such as Azure Synapse Studio, Power BI, Azure Data Factory, and relevant Microsoft certifications like Azure Data Engineer Associate is typically required. Excellent problem-solving abilities, strong communication skills, and the ability to work independently are crucial soft skills for this remote role. These competencies are vital for efficiently designing, implementing, and managing data solutions that drive business intelligence and decision-making in a distributed work environment.

What are some common challenges faced by professionals working remotely with Azure Synapse Analytics, and how can they be addressed?

Professionals working remotely with Azure Synapse Analytics often face challenges related to secure data access, collaboration with distributed teams, and managing complex cloud resources. To address these, it's important to establish robust remote access protocols, such as using VPNs and role-based access controls. Regular communication using collaboration tools and thorough documentation of data workflows help maintain team alignment. Additionally, automating resource management and monitoring via Azure tools can improve efficiency and reduce the risk of errors in a remote setting.

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

AspectRemote Azure Synapse AnalyticsData Engineer
Required CredentialsAzure certifications, SQL, data warehousing skillsData engineering certifications, SQL, cloud platform knowledge
Work EnvironmentCloud-based, remote, collaborative teamsOn-premises or cloud, often remote, technical focus
Industry UsageData analytics, business intelligence, cloud solutionsData pipeline development, database management, ETL processes

Remote Azure Synapse Analytics specialists focus on designing and managing data analytics solutions using Azure cloud services, while Data Engineers build and maintain data pipelines and infrastructure. Both roles require similar technical skills and certifications but differ in their primary focus and daily tasks.

More about Remote Azure Synapse Analytics jobs
What cities are hiring for Remote Azure Synapse Analytics jobs? Cities with the most Remote Azure Synapse Analytics job openings:
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What job categories do people searching Remote Azure Synapse Analytics jobs look for? The top searched job categories for Remote Azure Synapse Analytics jobs are:
Remote Azure Synapse Analytics jobs near you
Infographic showing various Remote Azure Synapse Analytics job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $103,000 per year, or $49.5 per hour.

Azure Data Technical Lead

Sarian, Inc.

Remote

$65 - $84.75/hr

Full-time

Re-posted yesterday

Job description

JD:
Azure Data Services: 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, and data integration.
• Programming Languages: Python, SQL, and familiarity with Spark.
• Big Data Technologies: Experience with big data technologies such as Hadoop, Spark, and Kafka.
• Cloud Computing: In-depth knowledge of cloud computing concepts and services, particularly within the Azure ecosystem.
• DevOps: Experience with CI/CD pipelines, version control (e.g., Git), and infrastructure as code (e.g., ARM templates, Terraform).

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