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Freelance Azure Synapse Analytics Jobs (NOW HIRING)

Cedent

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 ...

CEDENT

Azure Databricks Engineer (Dallas, TX)

Dallas, TX

$54.50 - $67.50/hr

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 ...

NS IT Solutions

Senior Azure Data Engineer

$108K - $147K/yr

... Synapse Analytics, and Azure Data Lake Storage (ADLS) • Proficiency in SQL, Python, and Spark/PySpark • Experience building scalable ETL/ELT pipelines and enterprise data solutions • Strong ...

2T Consulting

Azure Databricks Solution Architect

Doral, FL · On-site

$58.75 - $76.50/hr

Knowledge of Azure Event Hubs, Azure Cosmos DB, Azure Synapse Analytics, or other Azure analytics services. * Microsoft Azure and/or Databricks certifications. * Experience developing reusable ...

2T Consulting

Azure Databricks Solution Architect

Kendall, FL · On-site

$60.75 - $79.25/hr

Knowledge of Azure Event Hubs, Azure Cosmos DB, Azure Synapse Analytics, or other Azure analytics services. * Microsoft Azure and/or Databricks certifications. * Experience developing reusable ...

SmartIPlace

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure IoT, Azure HDInsight Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics and Azure SQL DB · ...

2T Consulting

Azure Databricks Solution Architect

Miami, FL · On-site

$60.25 - $78.50/hr

Knowledge of Azure Event Hubs, Azure Cosmos DB, Azure Synapse Analytics, or other Azure analytics services. * Microsoft Azure and/or Databricks certifications. * Experience developing reusable ...

2T Consulting

Azure Databricks Solution Architect

Miramar, FL · On-site

$58.75 - $76.75/hr

Knowledge of Azure Event Hubs, Azure Cosmos DB, Azure Synapse Analytics, or other Azure analytics services. * Microsoft Azure and/or Databricks certifications. * Experience developing reusable ...

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Freelance Azure Synapse Analytics information

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

As of Aug 19, 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.

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Freelance Azure Synapse Analytics jobs near you
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, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $103,000 per year, or $49.5 per hour.

Azure Databricks Engineer (Dallas, TX)

Cedent

Dallas, TX • On-site

$54.50 - $67.50/hr

Full-time

Re-posted 18 days ago

Job description

Key Responsibilities:
  • Azure Databricks Architecture & Design:
    • Design, build, and optimize scalable, high-performance data pipelines and data lakes using Azure Databricks.
    • Architect and implement end-to-end analytics solutions leveraging Databricks and other Azure services (e.g., Azure Data Lake, Azure SQL, Azure Blob Storage).
    • Lead the design of cloud-based architectures using Azure Databricks for data processing, transformation, and reporting.
  • Data Engineering & Integration:
    • Design and implement ETL/ELT processes to ingest, process, and transform data across various sources (structured and unstructured).
    • Collaborate with data scientists, analysts, and other stakeholders to understand business requirements and develop data solutions.
    • Manage data integration workflows between Databricks and other platforms like Power BI, Azure SQL, Synapse, etc.
  • Optimization & Performance Tuning:
    • Identify performance bottlenecks in Databricks environments and optimize clusters, queries, and code.
    • Continuously improve and scale data pipelines to accommodate growing data volumes and business needs.
  • Collaboration & Leadership:
    • Mentor and guide junior engineers and team members in best practices related to Azure Databricks and data engineering.
    • Work closely with cross-functional teams (data science, analytics, business intelligence) to deliver integrated solutions.
    • Provide technical leadership in cloud data architecture and data engineering.
  • Monitoring & Security:
    • Implement monitoring and alerting systems to ensure data pipelines and workflows are running smoothly.
    • Ensure compliance with data security and governance standards across the data ecosystem.
  • Continuous Improvement & Innovation:
    • Stay up to date with the latest advancements in Azure Databricks, cloud technologies, and data engineering trends.
    • Continuously evaluate and introduce new technologies and methodologies to enhance the data platform.
Required Skills and Qualifications:
  • Experience:
    • Minimum 10 years of hands-on experience in data engineering and cloud-based data platforms.
    • At least 5 years of experience working with Azure Databricks, building data pipelines, and performing data engineering tasks.
    • 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 SQL for large-scale data processing.
    • Expertise in Databricks notebooks, clusters, job scheduling, and libraries.
    • Deep understanding of cloud-native data engineering practices and architecture on Azure.
    • Familiarity with data modeling, data lakes, and data warehouse concepts.
    • Expertise in Azure services: Data Factory, Data Lake, Synapse Analytics, Event Hubs, Cosmos DB.
  • Data Pipeline and ETL/ELT Development:
    • Experience building and optimizing ETL/ELT workflows on Databricks.
    • Knowledge of data orchestration tools such as Azure Data Factory, Apache Airflow, or similar.
  • Big Data Technologies:
    • Proficiency in handling large-scale distributed data processing with tools like Apache Spark.
    • Experience with technologies such as Kafka, Delta Lake, and Databricks Runtime.
    • Strong understanding of Delta Lake and Lakehouse architecture.
  • Programming Languages:
    • Strong programming skills in Python, Scala, or Java.
    • Experience with SQL-based querying and optimizations.
  • Cloud & DevOps:
    • Strong understanding of Azure cloud services and architecture.
    • Familiarity with DevOps principles, CI/CD pipelines, and automation tools. Terraform required.
    • Knowledge of Git, Azure DevOps, or similar version control and deployment systems.
  • Collaboration & Leadership:
    • Excellent communication skills to work with both technical and non-technical stakeholders.
    • Proven track record of mentoring and leading teams of data engineers.
    • Experience managing complex projects and working with cross-functional teams.
Preferred Qualifications:
  • Certifications:
    • Microsoft Certified: Azure Data Engineer Associate or equivalent certification.
    • Databricks Certified Associate Developer for Apache Spark.
  • Education:
    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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