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Azure Synapse Analytics Jobs in Washington (NOW HIRING)

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Build data analytics solutions using Azure Synapse serverless SQL pools. * Perform data engineering with Azure Synapse Apache Spark Pools. * Monitor and troubleshoot data systems and pipelines to ...

Be Seen First

Build data analytics solutions using Azure Synapse serverless SQL pools. * Perform data engineering with Azure Synapse Apache Spark Pools. * Monitor and troubleshoot data systems and pipelines to ...

Data Engineer

Hanover, MD · On-site

$112K - $135K/yr

Build data analytics solutions using Azure Synapse serverless SQL pools. * Perform data engineering with Azure Synapse Apache Spark Pools. * Monitor and troubleshoot data systems and pipelines to ...

Data Engineer

Hanover, MD · On-site

$113K - $136K/yr

Build data analytics solutions using Azure Synapse serverless SQL pools. * Perform data engineering with Azure Synapse Apache Spark Pools. * Monitor and troubleshoot data systems and pipelines to ...

Senior Engineer

Rockville, MD · On-site

$106K - $146K/yr

... Azure Synapse Analytics • + Azure SQL Server & Azure DWH • + Cosmos DB • Implement secure data access and storage using: • + Azure Key Vault • + Azure Active Directory • Leverage Event ...

BI Reporting Engineer

Washington, DC · Remote

$117K - $140K/yr

Implement star schema dimensional models within the enterprise reporting platform (Azure Synapse Analytics, Microsoft Fabric, or Databricks). * Report & Dashboard Implementation: Translate documented ...

BI Reporting Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Implement star schema dimensional models within the enterprise reporting platform (Azure Synapse Analytics, Microsoft Fabric, or Databricks). * Report & Dashboard Implementation: Translate documented ...

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure Data Factory to support analytical and ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Build and maintain data warehousing capabilities (e.g., Azure Synapse Analytics) to support analytics and reporting workloads. Data Quality, Reliability & Operations * Identify, troubleshoot, and ...

Senior Data Engineer

Mclean, VA

$107K - $145K/yr

Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure Data Factory to support analytical and ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Build and maintain data warehousing capabilities (e.g., Azure Synapse Analytics) to support analytics and reporting workloads. Data Quality, Reliability & Operations * Identify, troubleshoot, and ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Build and maintain data warehousing capabilities (e.g., Azure Synapse Analytics) to support analytics and reporting workloads. Data Quality, Reliability & Operations * Identify, troubleshoot, and ...

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Azure Synapse Analytics information

See Washington salary details

$69.1K

$116.7K

$146.1K

How much do azure synapse analytics jobs pay per year?

As of Aug 27, 2026, the average yearly pay for azure synapse analytics in Washington is $116,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,100.00 and $138,700.00 per year, depending on experience, location, and employer.

What is an Azure Synapse Analytics?

An Azure Synapse Analytics job typically involves designing, implementing, and optimizing data integration, warehousing, and big data solutions using Azure Synapse. Professionals in this role work with data engineers, analysts, and business stakeholders to streamline data pipelines, enhance query performance, and ensure data security. They leverage Synapse SQL, Spark, and data integration tools to manage and analyze large datasets efficiently. Strong knowledge of cloud infrastructure, security best practices, and performance optimization techniques is essential for success in this role.

What are the typical daily responsibilities of someone working with Azure Synapse Analytics?

Professionals working with Azure Synapse Analytics typically spend their days designing and implementing data pipelines, integrating diverse data sources, and optimizing big data workflows within the Azure ecosystem. They may also work closely with data scientists, business analysts, and application developers to ensure data accuracy and facilitate advanced analytics or machine learning projects. Regular tasks can include troubleshooting performance issues, managing data security, and automating data processes. Collaboration and effective communication with cross-functional teams are key aspects of the work environment, helping to deliver accurate and actionable insights for decision-making.

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

Success in an Azure Synapse Analytics role requires strong proficiency in data engineering, SQL, data modeling, and analytics, typically supported by a background in computer science or related fields. Familiarity with Azure Synapse Studio, data integration tools, big data platforms, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly beneficial. Excellent problem-solving, communication, and teamwork skills help professionals effectively collaborate with stakeholders and respond to business needs. These skills and qualities enable professionals to design robust data solutions, optimize analytics workflows, and drive meaningful insights for organizations.

What are the most commonly searched types of Azure Synapse Analytics jobs in Washington?

The most popular types of Azure Synapse Analytics jobs in Washington are:

What job categories do people searching Azure Synapse Analytics jobs in Washington look for?

The top searched job categories for Azure Synapse Analytics jobs in Washington are:

Infographic showing various Azure Synapse Analytics job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $116,657 per year, or $56.1 per hour.

Senior Azure Data Engineer / Azure Synapse Engineer

Hanover, MD • On-site

$115K - $125K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 14 days ago

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Job description

Position Description:

The Contractor shall assign a dedicated Data Engineer that will serve as the primary technical resource responsible for the successful execution of all data integration, migration, implementation, and post-deployment support activities throughout the eight-month project lifecycle. The Data Engineer will provide end-to-end technical services, including designing and configuring the Azure Synapse environment, implementing private endpoint connectivity, developing and updating linked services, migrating existing pipelines, converting Talend ETL jobs, validating source-to-target data accuracy, troubleshooting technical issues, and supporting system integration testing, user acceptance testing, production deployment, and operational stabilization.

The role will also provide technical guidance, documentation, knowledge transfer, and ongoing collaboration with cloud infrastructure, cybersecurity, database administrators, application owners, and business stakeholders to ensure successful implementation while maintaining the stability, security, and integrity of enterprise data operations. By providing specialized expertise in Azure Synapse, Azure Data Factory, ETL/ELT processes, Azure networking, private endpoints, data integration, cloud data architecture, performance optimization, and operational support, the Data Engineer will reduce project risk, accelerate issue resolution, ensure adherence to enterprise security and governance standards, maintain implementation continuity, facilitate a smooth transition to production, and ensure all project milestones are completed on schedule while delivering a secure, resilient, high-performing, and production-ready analytics platform.

Primary Duties and Responsibilities

  • Build data analytics solutions using Azure Synapse serverless SQL pools.
  • Perform data engineering with Azure Synapse Apache Spark Pools.
  • Monitor and troubleshoot data systems and pipelines to ensure high availability and performance.
  • Work with Data Warehouses, Data Lakes, and Data Marts using Azure Synapse Analytics.
  • Transfer and transform data with Azure Synapse Analytics pipelines.
  • Monitor and optimize data storage and processing solutions for performance and efficiency.
  • Design and implement data storage solutions using Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database
  • Apply structured system development methodologies.
  • Organize, prioritize, and follow complex or detailed technical procedures.
  • Develop and maintain Data Lake and Data Warehouse schematics, layouts, architectures, and relational/non-relational databases for data access and advance analytics.


Position Requirements and Relevant Years of Experience

  • Experience with Agile Development
  • Possess Data Warehouse Experience
  • Knowledgeable in DevOps Practices
  • Utilize Azure Data Factory, Synapse Analytics to perform data conversions, imports, and exports of data within and between internal and external software systems.
  • Experience automating tasks with scripting tools and languages such as PowerShell.
  • Familiarity with Azure Cloud Technologies such as Power Apps and Dataverse.
  • Integrate data from multiple sources, ensuring data quality and integrity.
  • Experience keeping data pipelines secure.
  • At least eight (8) years of software development experience
  • Experience with Azure Synapse, Azure Data Factory, Azure Databricks, and Azure Stream Analytics.
  • Expert hands-on software development experience using C#, ASP.NET, Web Services/APIs.
  • Experience with Microsoft DevOps, or GitHub code management environment.
  • Experience or certification in Azure Cloud Services.
  • Prior experience with Java/.NET and JavaScript
  • Familiarity with Oracle and SQL databases
  • Strong functional and technical background
  • Excellent communications, collaboration, and customer focus skills.

Preferred Personnel Experience:

  • Previous experience with Maryland Department of Transportation (MDOT).

Education:

  • Requires a bachelor’s or master’s degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field.
  • Three (3) years of equivalent experience in a related field may be substituted for the bachelor’s degree.