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Freelance Azure Synapse Analytics Jobs (NOW HIRING)

Senior Azure Data Engineer

Addison, TX · On-site

$118K - $156K/yr

Production experience with Azure Data Factory, Azure Synapse Analytics, or Databricks * Proven ability to work independently, diagnosing problems, owning outcomes, and documenting what you learn

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 ...

Senior Azure Data Engineer

Addison, TX · On-site

$102K - $139K/yr

Production experience with Azure Data Factory, Azure Synapse Analytics, or Databricks. Proven ability to work independently, diagnose problems, own outcomes, and document findings. Strong ...

Senior Azure Data Architect

Hazlet, NJ · On-site

$65.50 - $85.25/hr

Strong expertise with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL, Azure Data Lake Storage Gen2. * Solid understanding of modern data architectures: data lakehouse, star ...

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 ...

Senior Azure Data Engineer

Springfield, IL · On-site

$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 ...

Senior Azure Data Engineer

Springfield, IL · On-site

$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 ...

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 ...

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 ...

Sr Data Engineer- Lead

Atlanta, GA · On-site

$53.50 - $71/hr

... Azure Synapse for enterprise analytics using Spark framework. • Strong hands-on experience with Azure Synapse Analytics, along with a good understanding or exposure to Microsoft Fabric • Develop ...

Azure Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

You Have: * 3+ years of experience building scalable ETL or ELT pipelines for reporting and analytics, using Azure Synapse Analytics or Azure Data Factory and Azure Databricks * 3+ years of ...

New

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Strong experience with Azure services such as Azure Data Lake, Azure Synapse Analytics, Azure Blob Storage, Azure SQL Database, etc. * Technical Skills : * Proficiency in Spark, PySpark, Scala, or ...

Azure Data Engineer

Melbourne, FL · On-site

$62K - $141K/yr

You Have: * 3+ years of experience building scalable ETL or ELT pipelines for reporting and analytics, using Azure Synapse Analytics or Azure Data Factory and Azure Databricks * 3+ years of ...

New

Azure Databricks Architecture & Design: Design, build, and optimize scalable, high-performance data ... Data Factory, Data Lake, Synapse Analytics, Event Hubs, Cosmos DB. Data Pipeline and ETL/ELT ...

Showing results 21-40

Freelance Azure Synapse Analytics information

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$61K

$103K

$129K

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

As of Aug 7, 2026, the average yearly pay for freelance 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 freelance Azure Synapse Analytics professional?

A Freelance Azure Synapse Analytics professional is an independent expert who specializes in using Microsoft Azure Synapse Analytics, a cloud-based data integration, warehousing, and big data analytics platform. These freelancers help organizations design, implement, and manage data solutions, enabling advanced analytics and business intelligence. They typically work on projects such as data migration, pipeline creation, data modeling, and performance optimization. By working on a freelance basis, they offer flexibility and expertise to businesses without requiring a full-time commitment.

What are some common challenges a freelance Azure Synapse Analytics professional may face when starting a new client project?

Freelance Azure Synapse Analytics professionals often encounter challenges such as integrating Synapse with a client's existing data infrastructure, understanding unique business data requirements, and navigating varying security protocols. Since clients may have different data sources and levels of cloud maturity, adapting quickly to new environments and establishing efficient data pipelines is essential. Effective communication and collaboration with in-house IT and data teams are also crucial for ensuring project success and smooth knowledge transfer.

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

To thrive as a Freelance Azure Synapse Analytics professional, you need strong expertise in data engineering, SQL, and cloud-based data warehousing, typically supported by a background in computer science or a related field. Hands-on experience with Azure Synapse Analytics, Azure Data Factory, Power BI, and relevant Microsoft certifications such as Azure Data Engineer Associate are highly valued. Exceptional problem-solving, client communication, and project management skills distinguish top freelancers in this field. These competencies ensure efficient data solutions, clear client collaboration, and successful project delivery in complex analytics environments.

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

AspectFreelance Azure Synapse AnalyticsFreelance Data Engineer
CredentialsAzure certifications, data analytics skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based projects, data analytics platformsData pipelines, database management, cloud environments
Industry UsageData analytics, business intelligenceData infrastructure, system integration
Search & Comparison IntentFocus on analytics tools and cloud data solutionsFocus on data infrastructure and pipeline development

Freelance Azure Synapse Analytics specialists primarily focus on data analysis, reporting, and leveraging Azure's analytics tools. In contrast, Freelance Data Engineers build and maintain data pipelines, manage data storage, and ensure data flow across systems. While both roles require cloud and data skills, Azure Synapse Analytics experts are more analytics-oriented, whereas Data Engineers focus on data infrastructure and engineering tasks.

More about Freelance Azure Synapse Analytics jobs
What cities are hiring for Freelance Azure Synapse Analytics jobs? Cities with the most Freelance 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 Freelance Azure Synapse Analytics jobs? States with the most job openings for Freelance Azure Synapse Analytics jobs include:
What job categories do people searching Freelance Azure Synapse Analytics jobs look for? The top searched job categories for Freelance Azure Synapse Analytics jobs are:
Infographic showing various Freelance Azure Synapse Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% 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.

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

Saransh Inc

Raleigh, NC • On-site

Contractor

Re-posted 22 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