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Synapse Jobs in Virginia (NOW HIRING)

Epic / Fuji CV Synapse Orientation: 1-2 weeks Scrubs: Caribbean Blue Contract: 26 weeks Location: Inova 8260 Willow Oaks, Fairfax, VA Medlivo Job ID #INVAJP00010175--INVAJP00010174. Pay package is ...

Epic / Fuji CV Synapse Orientation: 1-2 weeks Scrubs: Caribbean Blue Key Duties: Echo studies, recognizing emergent situations, cardiologist communication, equipment maintenance, procedure logging ...

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Synapse information

See Virginia salary details

$17K

$107.8K

$150.7K

How much do synapse jobs pay per year?

As of Aug 22, 2026, the average yearly pay for synapse in Virginia is $107,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,472.00 and $134,695.00 per year, depending on experience, location, and employer.

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 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 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 most commonly searched types of Synapse jobs in Virginia?

The most popular types of Synapse jobs in Virginia are:

Infographic showing various Synapse job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 12% Part Time, and 10% Contract. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution, with an average salary of $107,849 per year, or $51.9 per hour.

Fullstack Software Engineer (data oriented, Python & Azure) - Contract - Hybrid at RVA

Alphanumeric Systems, Inc.

Richmond, VA • On-site

$84.03 - $90.92/hr

Other

Re-posted 22 days ago


Job description

Senior Software Engineer (Hybrid - Richmond, VA)

Pay Range: $61 - $66/hour (W2 Only)

Type: Contract (with potential for conversion)

Location: Richmond, VA - Hybrid (2 days onsite) preferred.

Remote considered for candidates located in EST/CST time zones within the following states: CO, CT, DE, FL, GA, IL, MA, MD, MO, NC, NE, NJ, NY, NV, PA, SC, TN, TX, VA, WV.

Note: No C2C or third-party candidates.

About the Role

Alphanumeric is hiring a Senior Software Engineer to join our partner's engineering team in Richmond, VA, supporting a leading organization with a long-standing footprint in the financial and insurance industries. This is an opportunity to play a key role in building scalable, high-performance web applications and data pipelines that enable critical analytics and insights.

You’ll design, build, and maintain modern data and application solutions using Postgres SQL, Azure Synapse, Python, and PySpark, ensuring performance, reliability, and quality across systems.

Key Responsibilities
  • Build and maintain scalable web applications, data pipelines, and workflows using Postgres SQL and Azure Synapse.
  • Troubleshoot, enhance, and optimize existing UI and data workflows for reliability and performance.
  • Analyze and resolve production issues across front end, back end, and data layers with root-cause analysis and permanent fixes.
  • Design and maintain data control frameworks to ensure integrity, security, and compliance across Synapse and integrated applications.
  • Collaborate with actuarial stakeholders to gather requirements and deliver reliable, high-quality solutions.
  • Participate in Agile ceremonies, backlog grooming, and task estimation.
  • Apply CI/CD, unit testing, version control, and monitoring best practices.
  • Use automation and scripting to improve deployment efficiency and system scalability.
  • Support QA/UAT cycles, ensuring deliverables meet business and usability expectations.
  • Create and maintain comprehensive technical documentation for long-term knowledge sharing.
Preferred Skills & Technologies
  • Azure Synapse, Databricks, Azure DevOps, Azure App Service, Postgres SQL
  • Strong programming experience in Python, SQL, and PySpark
  • Hands‑on experience with cloud data lakes and CI/CD pipelines (Git)
  • Familiarity with web UI services and Azure-based deployment environments
Ideal candidate
  • A self‑driven engineer who thrives in collaborative, Agile environments.
  • Comfortable wearing multiple hats: developer, tester, and business analyst.
  • Passionate about building scalable, maintainable, and secure data systems.
  • Skilled communicator who bridges the gap between technical and business stakeholders.
Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Mathematics, or related field (or equivalent experience).
  • Hands‑on experience with Azure Synapse, Delta Lake, and Postgres database platforms.
  • Expertise in SQL and Python, with a strong understanding of Azure App Service and web UI integration.
  • Proven analytical, problem‑solving, and critical thinking skills.
Why Join Alphanumeric?

Alphanumeric is a dynamic, people‑first company founded in 1979, partnering with global leaders in life sciences, healthcare, and technology.

We are dedicated to helping organizations achieve smarter, more efficient operations—while treating our people like family.

Join a team where your contributions are valued, your ideas matter, and your work truly makes an impact.

Apply today and Make Your Mark!

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