Data Science, Sr Staff
United States Off-siteVerificationSoC / ASICPosted Aug 11, 2026via html-list
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Data Science, Sr Staff
United States Off-site
Data Science
Employee
$158000-$237000
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Overview
Synopsys software engineers are key enablers in the world of Electronic Design Automation (EDA), developing and maintaining software used in chip design, verification and manufacturing. They work on assignments like designing, developing, and troubleshooting software, leveraging the state-of-the-art technologies like AI/ML, GenAI and Cloud. Their critical contributions enable world-wide EDA designers to extend the frontiers of semiconductors and chip development.
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Job Description
Date posted 07/27/2026
Category Data Science
Hire Type Employee
Job ID 18241
Base Salary Range $158000-$237000
Remote Eligible Yes
Date Posted 07/27/2026
We AreAt Synopsys, we drive the innovations that shape the way we live and connect. Our technology powers the Era of Pervasive Intelligence, enabling breakthroughs in artificial intelligence, cloud computing, autonomous systems, and advanced semiconductor design. We empower the world's leading technology companies to accelerate innovation through world-class silicon and software solutions.Join us and help build the data platforms that enable better business decisions across a global technology leader.The OpportunitySynopsys is seeking a talented Data Engineer to design, build, and evolve scalable data and analytics solutions across our modern data ecosystem.In this role, you will work across the full analytics lifecycle, from building robust data pipelines and transforming data to creating semantic models, reports, and dashboards that enable data-driven decision-making. Leveraging technologies such as Fivetran, Snowflake, dbt, and Power BI, you will help deliver reliable, high-quality, and business-ready analytics solutions that drive measurable impact.Key Responsibilities
• Partner with business and technical stakeholders to gather requirements, define solution designs, and deliver high-quality data products.
• Design, build, and maintain end-to-end data solutions across ingestion, transformation, modeling, and reporting layers.
• Develop and support scalable data pipelines using Fivetran, Snowflake, and dbt.
• Build and optimize semantic models within Power BI to enable trusted and performant reporting.
• Develop Power BI dashboards, reports, visualizations, and DAX measures that translate business requirements into actionable insights.
• Ensure data quality, consistency, scalability, and performance across data and analytics solutions.
• Collaborate with analytics, engineering, and business teams to support best practices in data architecture and data management.
• Troubleshoot and optimize data pipelines, warehouse performance, semantic models, and reporting solutions.
The Impact You Will HaveYou will:
• Deliver reliable and scalable data solutions that support enterprise decision-making.
• Increase trust and accessibility of business-critical data assets.
• Enable faster insights through modern analytics and reporting platforms.
• Improve stakeholder productivity through effective dashboards and self-service analytics.
• Support business initiatives by transforming raw data into meaningful information and actionable outcomes.
Required Qualifications
• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline.
• 5+ years of experience in Data Engineering, Analytics Engineering, BI Engineering, Data Architecture, or related fields.
Technical ExpertiseStrong hands-on experience with:
• Snowflake
• dbt
• Fivetran
• Power BI
• SQL (expert-level proficiency)Strong experience with:
• Dimensional modeling
• Semantic modeling
• Data modeling best practices
• Data warehouse concepts and architectureAdditional experience:
• Designing and implementing end-to-end data solutions from source ingestion through dashboard delivery.
• Building Power BI semantic models and developing DAX measures.
• Creating reports, dashboards, and visual analytics solutions.
• Working with stakeholders to translate business requirements into scalable technical solutions.
Who You Are
• A hands-on data professional who enjoys solving complex analytics and data integration challenges.
• A strong problem solver with a focus on building scalable and maintainable solutions.
• An effective communicator who can bridge business and technical requirements.
• A collaborative team player who thrives in cross-functional environments.
• Detail-oriented and committed to delivering high-quality solutions.
• Curious and passionate about modern data technologies and best practices.
• Results-driven and focused on delivering measurable business value through data.
The TeamYou will be part of a team of data engineers, analytics professionals, and technology partners focused on delivering modern data and analytics capabilities across Synopsys. Together, you will help build trusted, scalable data solutions that empower better business decisions and support the company's continued growth and innovation.
Rewards and BenefitsSynopsys offers a comprehensive range of health, wellness, and financial benefits designed to support your personal and professional success. Our total rewards package includes both monetary and non-monetary benefits that help employees thrive. Additional details regarding compensation and benefits will be provided throughout the hiring process
At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
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Benefits
At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.
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• Health & Wellness
Comprehensive medical and healthcare plans that work for you and your family.
• Time Away
In addition to company holidays, we have ETO and FTO Programs.
• Family Support
Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.
• ESPP
Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.
• Retirement Plans
Save for your future with our retirement plans that vary by region and country.
• Compensation
Competitive salaries.
** Benefits vary by country and region - check with your recruiter to confirm
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Hiring Journey at Synopsys
Apply
As an applicant your resume, skills, and experience are being reviewed for consideration.
Phone Screen
Once your resume has been selected a recruiter and/or hiring manager will reach out to learn more about you and share more about the role.
Interview
You will be invited to meet with the hiring team to measure your qualifications for the role. Our interviews are held either in person or via Zoom.
Offer
Congratulations! When you have been selected for the role, your recruiter will reach out to make you a verbal offer (a written offer will follow your conversation), and we hope you accept!
Onboarding
There will be some steps you need to take before you start to ensure a smooth first day, including new hire documentation.
Welcome!
Once you’ve joined, your manager, team, and a peer buddy will help you get acclimated. Over the next few weeks, you’ll be invited to join activities and training to help you ramp up for a successful future at Synopsys!
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Source URL: https://careers.synopsys.com/job/north-carolina/data-science-sr-staff/44408/98423136640