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Synapse Jobs in Virginia (NOW HIRING)

Nestle

Expert Data Product - Data Lake

Arlington, VA · On-site

$140K - $200K/yr

Drive adoption and optimization of cloud-based data platforms, including the Microsoft Azure ecosystem (Azure Data Lake, Databricks, Synapse) and Snowflake * Leverage APIs, storage optimization, and ...

Genworth

Platform Engineer, Azure / DevOps

Richmond, VA · On-site

$77K - $117K/yr

What you will be doing • Administer and configure Azure Synapse Analytics workspaces, Azure Databricks, Confluent Cloud including data integration and data warehousing components • Developing ...

Jobtailor

Full Stack DevOps Engineer

Mclean, VA · On-site

$140 - $180/hr

Experience deploying or maintaining Big Data or analytics platforms like Databricks, Snowflake, RedShift, BigQuery, Synapse. * Experience working in version control platforms such as GitHub or Azure ...

Core Interface

Java Developer

Chantilly, VA · On-site

$52.25 - $67.50/hr

Experience with cloud-native data services such as Glue, S3, Kinesis, Synapse, or Data Factory * Familiarity with CI/CD pipelines and DevSecOps practices in a classified environment * Experience with ...

Core Interface

ETL Developer

Chantilly, VA · On-site

$52.25 - $68.25/hr

Experience with cloud data platforms ( AWS Glue/S3, Azure Data Factory/Synapse, Snowflake, Databricks ) * Experience with Apache Spark or similar distributed processing frameworks * Experience with ...

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All JobsSynapse JobsSynapse Jobs in Virginia

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:

What are popular job titles related to Synapse jobs in Virginia?

For Synapse jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Synapse jobs in Virginia look for?

The top searched job categories for Synapse jobs in Virginia are:

Synapse jobs near you
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.

Expert Data Product - Data Lake

Nestle Operational Services Worldwide SA

Arlington, VA • On-site

$140K - $200K/yr

Full-time

Medical, Retirement

Posted 20 days ago

Job description

As the digital arm for the world's largest food and beverage company, Nestlé IT & Digital Americas harnesses the power of data, analytics, and innovative technology to deliver transformative solutions and business resiliency for Nestlé businesses and iconic brands from Purina® to Nescafé®. We're innovators, strategic collaborators, value multipliers, and digital business leaders committed to delivering results that create meaningful experiences and drive value, enabling Nestlé to win in the marketplace. By joining, you become part of a 150-year legacy and a global team of 270,000+. We invest in our people-their growth, development, and sense of belonging. This shared unity and purpose is what motivates individuals to join, stay, and advance their careers within Nestlé.
This position is not eligible for Visa Sponsorship.
Position Summary
Join Nestlé IT & Digital, supporting Nestlé USA, as a Data Product Expert accountable for managing and evolving our enterprise data lake as a product, enabling scalable, trusted, and AI-ready data services across the enterprise. This role balances technical depth with business fluency, partnering across functions, business teams, and the data organization within IT & Digital to translate priorities into reliable, secure, cost-efficient, and reusable data services. You'll ensure the data lake is aligned with enterprise data strategy and Nestlé standards, and liaison with the zone to ensure alignment with the global organization.
  • Own the end-to-end lifecycle of data lake products, including vision, roadmap, backlog prioritization, and value realization
  • Translate business and analytics requirements into scalable data platform capabilities and reusable data assets
  • Ensure seamless integration of structured and unstructured data across upstream and downstream systems
  • Drive adoption and optimization of cloud-based data platforms, including the Microsoft Azure ecosystem (Azure Data Lake, Databricks, Synapse) and Snowflake
  • Leverage APIs, storage optimization, and distributed compute to enable scalable and performant data pipelines
  • Embed data governance, metadata management, and quality standards, and liaison with the zone and global teams for alignment
  • Lead agile delivery, including sprint planning, backlog refinement, and continuous improvement through automation and monitoring

Requirements
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field
  • 7+ years of experience in data platforms, product ownership, or data engineering, including delivering enterprise-scale data products
  • 5+ years of hands-on experience with cloud data platforms, specifically the Microsoft Azure ecosystem (Azure Data Lake, Databricks, Synapse) or Snowflake
  • 3+ years of experience as a Product Owner managing backlogs, roadmaps, and stakeholder alignment in an agile delivery model
  • 3+ years of experience with data architecture, integrations, data warehousing, and full stack or back-end development

Other
  • Master's degree in Computer Science, Information Systems, Engineering, or a related discipline is preferred
  • Working knowledge of Python for data processing, automation, or analytics is preferred
  • Experience applying FinOps practices to optimize cost, usage, and performance in cloud data platforms is preferred
  • Familiarity with AI/ML data pipelines and enabling data for advanced analytics is preferred

Don't meet all the qualifications listed under "Other"? These are preferred, but not required. When you apply for a role with Nestlé, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.
The approximate pay range for this position is $140,000 to $200,000 per year. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Learn more at https://nestlejobs.com/nestle-in-the-us.
It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestlé home.
The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.
This position is not eligible for Visa Sponsorship.
Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.
Job Requisition: 413602
As the digital arm for the world's largest food and beverage company, Nestlé IT & Digital Americas harnesses the power of data, analytics, and innovative technology to deliver transformative solutions and business resiliency for Nestlé businesses and iconic brands from Purina® to Nescafé®. We're innovators, strategic collaborators, value multipliers, and digital business leaders committed to delivering results that create meaningful experiences and drive value, enabling Nestlé to win in the marketplace. By joining, you become part of a 150-year legacy and a global team of 270,000+. We invest in our people-their growth, development, and sense of belonging. This shared unity and purpose is what motivates individuals to join, stay, and advance their careers within Nestlé.
This position is not eligible for Visa Sponsorship.
Position Summary
Join Nestlé IT & Digital, supporting Nestlé USA, as a Data Product Expert accountable for managing and evolving our enterprise data lake as a product, enabling scalable, trusted, and AI-ready data services across the enterprise. This role balances technical depth with business fluency, partnering across functions, business teams, and the data organization within IT & Digital to translate priorities into reliable, secure, cost-efficient, and reusable data services. You'll ensure the data lake is aligned with enterprise data strategy and Nestlé standards, and liaison with the zone to ensure alignment with the global organization.
  • Own the end-to-end lifecycle of data lake products, including vision, roadmap, backlog prioritization, and value realization
  • Translate business and analytics requirements into scalable data platform capabilities and reusable data assets
  • Ensure seamless integration of structured and unstructured data across upstream and downstream systems
  • Drive adoption and optimization of cloud-based data platforms, including the Microsoft Azure ecosystem (Azure Data Lake, Databricks, Synapse) and Snowflake
  • Leverage APIs, storage optimization, and distributed compute to enable scalable and performant data pipelines
  • Embed data governance, metadata management, and quality standards, and liaison with the zone and global teams for alignment
  • Lead agile delivery, including sprint planning, backlog refinement, and continuous improvement through automation and monitoring

Requirements
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field
  • 7+ years of experience in data platforms, product ownership, or data engineering, including delivering enterprise-scale data products
  • 5+ years of hands-on experience with cloud data platforms, specifically the Microsoft Azure ecosystem (Azure Data Lake, Databricks, Synapse) or Snowflake
  • 3+ years of experience as a Product Owner managing backlogs, roadmaps, and stakeholder alignment in an agile delivery model
  • 3+ years of experience with data architecture, integrations, data warehousing, and full stack or back-end development

Other
  • Master's degree in Computer Science, Information Systems, Engineering, or a related discipline is preferred
  • Working knowledge of Python for data processing, automation, or analytics is preferred
  • Experience applying FinOps practices to optimize cost, usage, and performance in cloud data platforms is preferred
  • Familiarity with AI/ML data pipelines and enabling data for advanced analytics is preferred

Don't meet all the qualifications listed under "Other"? These are preferred, but not required. When you apply for a role with Nestlé, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.
The approximate pay range for this position is $140,000 to $200,000 per year. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Learn more at https://nestlejobs.com/nestle-in-the-us.
It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestlé home.
The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.
This position is not eligible for Visa Sponsorship.
Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.
Job Requisition: 413602

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