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Synapse Jobs in Washington (NOW HIRING)

Booz Allen Hamilton

Azure Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

Experience designing and implementing scalable Lakehouse architectures in Synapse and Azure Databricks following medallion architecture patterns * Experience mentoring junior engineers and ...

Pipe Recruit

Senior Engineer

Rockville, MD · On-site

$106K - $146K/yr

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

MDAEdge

Medicaid Data Systems Analyst

Washington, DC · On-site

Required : • bachelor's degree • 5+ years of relevant experience • 5+ years of experience in Expert T-SQL for data auditing and parity testing between SQL Server and Azure Synapse • 5+ years ...

CREATIVE GLOBAL CONSULTING

IT Architect

Hanover, MD · On-site

Synapse, Data Factory, Data Lakes, Data Bricks, Dataverse, ESRI, Cloud computing, etc. TASKS * Lead enterprise-wide system integration project, including architecture design and implementation ...

Data Society

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 ...

MDAEdge

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

... in Azure Synapse for advanced analytics and AI-readiness. • Implement Row-Level Security (RLS) and automated data masking for PHI/PII per HIPAA, CMS MARS-E, and NIST standards. • Develop ...

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All JobsSynapse JobsSynapse Jobs in Washington

Synapse information

See Washington salary details

$18.8K

$119.1K

$166.4K

How much do synapse jobs pay per year?

As of Aug 9, 2026, the average yearly pay for synapse in Washington is $119,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,777.00 and $148,702.00 per year, depending on experience, location, and employer.

What are some common challenges faced by synapse engineers when integrating new neural models into existing systems?

Synapse engineers often encounter challenges with compatibility and scalability when integrating new neural models into established systems. Balancing the need for high performance with resource constraints, such as memory and processing power, is a frequent obstacle. Additionally, ensuring seamless communication between different components and maintaining system stability during updates requires careful testing and collaboration with cross-functional teams. Staying current with evolving machine learning frameworks also presents an ongoing learning curve.

What is the difference between Synapse vs Data Analyst?

AspectSynapseData Analyst
CredentialsTypically requires knowledge of Azure Synapse, data engineering, and cloud platformsOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst Associate are common
Work EnvironmentPrimarily cloud-based, involving data integration, warehousing, and big data processingUsually office-based, focusing on data interpretation, reporting, and visualization
Industry UsageUsed in data engineering, data warehousing, and big data projects within tech, finance, and healthcareCommon in business intelligence, marketing, finance, and consulting sectors

Synapse is a cloud-based data platform focusing on data integration and big data processing, while a Data Analyst primarily interprets data and creates reports. Both roles often collaborate but serve different functions within data management and analysis.

What are the key skills and qualifications needed to thrive as a synapse software engineer, and why are they important?

To excel as a Synapse Software Engineer, you need strong programming skills, experience with cloud data platforms (especially Azure Synapse Analytics), and a background in computer science or a related field. Familiarity with SQL, data integration tools, Azure Data Factory, and certifications like Microsoft Certified: Azure Data Engineer Associate are often required. Problem-solving, attention to detail, and effective communication are vital soft skills for collaborating on complex data projects. These competencies ensure efficient data solutions, robust analytics pipelines, and successful outcomes in fast-evolving enterprise environments.

What is a synapse?

A Synapse job typically refers to a role related to Microsoft Azure Synapse Analytics, a cloud-based big data and analytics service. Professionals in this role work with data integration, analysis, and processing, often using SQL, Spark, and AI tools. Responsibilities may include data warehousing, pipeline creation, performance optimization, and security management. These roles are common in industries requiring large-scale data analytics and business intelligence.

What are popular job titles related to Synapse jobs in Washington? For Synapse jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Synapse jobs in Washington look for? The top searched job categories for Synapse jobs in Washington are:
What cities in Washington are hiring for Synapse jobs? Cities in Washington with the most Synapse job openings:
Synapse jobs near you
Infographic showing various Synapse job openings in Washington as of July 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Temporary. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $119,065 per year, or $57.2 per hour.

Senior Engineer/Senior Azure Data Engineer - Azure Synapse, Databricks & Power BI

MDAEdge

Rockville, MD • On-site

$106K - $146K/yr

Full-time

Re-posted 15 days ago

Job description

Job Summary:
MDAEdge is looking for a highly skilled Azure Data Engineer to design and implement modern data solutions using the Azure cloud ecosystem. The ideal candidate will have deep expertise in Azure Data Lake, Data Factory, Databricks, Synapse Analytics, and Power BI, and will build scalable, secure, and high-performing data platforms that drive analytics and business insights.
Responsibilities:
• Design and develop robust data pipelines using Azure Data Factory and Azure Databricks.
• Work with streaming data processing using Spark clusters in Azure Databricks.
• Manage and utilize Azure Data Lake Gen1/Gen2, Blob containers, and Azure SQL Server for data storage and processing.
• Build and maintain Azure Data Warehouses and deliver scalable solutions using Azure Synapse Analytics.
• Implement secure data access and management using Azure Key Vault and Azure Active Directory.
• Integrate event-driven architecture using ESB, Event Grid, and Azure Functions.
• Work with Cosmos DB for NoSQL database solutions within cloud-native applications.
• Develop and publish interactive dashboards and analytics reports using Power BI.
• Ensure security, compliance, and performance of data infrastructure.
Qualifications:
Required:
• Strong experience with Azure Data Lake Gen1/Gen2
• Strong experience with Azure Data Factory
• Strong experience with Azure Databricks (including Spark clusters)
• Strong experience with Azure Synapse Analytics
• Strong experience with Azure SQL Server, Cosmos DB, Blob Storage
• Strong experience with Azure Key Vault, Azure Active Directory
• Strong experience with Azure Functions, Event Grid, ESB
• Mandatory experience with Power BI for analytics and dashboard creation
Preferred:
• Experience in building end-to-end data pipelines for big data and analytics
• Knowledge of data governance and data security best practices in Azure
• Familiarity with DevOps for Data Engineering and automation of deployments
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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