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Part Time Azure Synapse Analytics Jobs (NOW HIRING)

Exavalu

Technical Solution Leader

... Synapse Analytics, and Azure SQL. * Develop scalable data pipelines and ingestion frameworks ... part-time work, working outside normal 9-5 business hours or working remotely. We also offer a ...

Shannon & Wilson Inc

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

... and analytics capabilities to support better decision-making and operational excellence. Job ... Platform Operations & Maintenance - Administer and monitor Microsoft Fabric (or Azure Synapse ...

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Part Time Azure Synapse Analytics information

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How much do part time azure synapse analytics jobs pay per year?

As of Jul 15, 2026, the average yearly pay for part time 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 are part-time Azure Synapse Analytics professionals?

Part-time Azure Synapse Analytics professionals are individuals who work fewer than full-time hours to help organizations manage, analyze, and integrate large volumes of data using Microsoft Azure Synapse Analytics. Their responsibilities often include building data pipelines, optimizing queries, and developing analytics solutions within the Synapse workspace. These professionals may specialize in data engineering, business intelligence, or data analysis, and they typically collaborate with other IT and business teams to ensure efficient data-driven decision-making. Part-time roles offer flexibility for both employers and employees, making them ideal for project-based or consulting work where full-time staff are not required.

What is the difference between Part Time Azure Synapse Analytics vs Part Time Data Analyst?

AspectPart Time Azure Synapse AnalyticsPart Time Data Analyst
Required SkillsAzure Synapse, SQL, data integration, analytics toolsExcel, SQL, data visualization, reporting
CertificationsAzure certifications (e.g., DP-420)None mandatory, often Excel or Tableau certifications
Work EnvironmentCloud-based, data warehouses, large datasetsOffice or remote, data interpretation and reporting
Industry UsageData engineering, cloud analytics projectsBusiness reporting, market analysis

Part Time Azure Synapse Analytics focuses on cloud-based data integration and analytics using Azure tools, requiring technical skills and certifications. In contrast, Part Time Data Analysts primarily interpret data, create reports, and visualize insights, often with less emphasis on cloud platforms. Both roles are essential in data-driven industries but serve different functions and skill sets.

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

To excel as a Part Time Azure Synapse Analytics professional, you need a solid background in data engineering, SQL, and cloud data platforms, often supported by experience or certification in Microsoft Azure. Familiarity with Azure Synapse Studio, Power BI, and data integration tools is typically required. Strong analytical thinking, problem-solving, and effective communication skills set candidates apart in this role. These competencies enable efficient data management, insightful analytics, and collaboration on business intelligence initiatives within organizations.

What are the main challenges faced by professionals working part-time with Azure Synapse Analytics?

Part-time Azure Synapse Analytics professionals often encounter challenges in keeping up with rapidly evolving cloud technologies and ensuring alignment with full-time team members' schedules. Since projects can be data-intensive and require timely collaboration, effective communication and time management are crucial. Additionally, part-time roles may require prioritizing key tasks, as there might be less time available for in-depth troubleshooting or continuous monitoring of data pipelines. However, many teams use collaborative tools and clear documentation to help part-time members stay engaged and productive.
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 Part Time Azure Synapse Analytics jobs? States with the most job openings for Part Time Azure Synapse Analytics jobs include:
Part Time Azure Synapse Analytics jobs near you
Technical Solution Leader

Technical Solution Leader

Exavalu

Remote

Part-time

Posted 2 days ago

Job description


This is a remote position.
Overview :
Job Description / Key Responsibilities
  • Design and implement end-to-end data architectures using Azure-native services such as Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure Synapse Analytics, and Azure SQL.
  • Develop scalable data pipelines and ingestion frameworks leveraging medallion architecture principles.
  • Perform data discovery, profiling, and mapping across multiple source systems.
  • Collaborate with stakeholders to gather, analyze, and refine data requirements from diverse applications.
  • Translate business requirements into data definitions, source-to-target mappings, and transformation logic.
  • Conduct gap analysis between current and target data models and architectures.
  • Define and implement data quality rules, validation frameworks, and governance standards.
  • Design and build insurance-specific data models (policy, claims, premiums, exposure, financials).
  • Identify appropriate source systems for data ingestion in collaboration with business stakeholders.
  • Develop data integration and ingestion patterns aligned with enterprise architecture.
  • Design and implement data reconciliation and validation procedures.
  • Support and execute data migration activities.
  • Analyze and optimize existing data pipelines and Azure SQL databases for performance and scalability.
  • Contribute to operating model design, governance forums, and cross-functional alignment.
  • Deliver key artifacts such as data dictionaries, validation catalogs, and onboarding documentation.

Requirements
Required Skills & Experience
  • 8-10+ years of experience in data analysis within data-centric or transformation programs.
  • Strong expertise in data profiling, data mapping, and source-to-target transformations.
  • Extensive experience working with high-volume insurance datasets (policy, premium, claims, exposure, financials).
  • Proven experience in designing and implementing insurance-specific data models.
  • Hands-on experience with Azure data services (ADLS, ADF, Azure SQL, Synapse).
  • Solid understanding of distributed data processing concepts.
  • Experience in defining and implementing data quality frameworks and governance standards.
  • Strong expertise in data ingestion, transformation, and orchestration frameworks.
  • Proven ability to design scalable, high-performance, and cost-efficient data pipelines.
  • Experience establishing data governance and architectural best practices.
  • Strong stakeholder management and communication skills.
  • Ability to collaborate effectively with business and engineering teams to deliver scalable data solutions.
Preferred Skills
  • Experience with enterprise data models and data standardization initiatives.
  • Prior experience working on Insurance P&C cloud-based data and analytics projects.
  • Hands-on experience with PySpark for large-scale data processing.
  • Experience working with Azure Databricks and Spark-based pipelines.
  • Expertise in defining and enforcing best practices for Databricks workloads.
  • Strong analytical and problem-solving skills with a focus on scalable architecture design.
  • Excellent communication and cross-functional collaboration skills.

Benefits
Exavalu also promotes flexibility, adapting to the needs of employees, customers, and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also offer a welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons.
At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, colour, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career.

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