Data Engineer

Synopsys•USA Off-Site, MD

89d•$120,000 - $180,000•Remote

About The Position

Synopsys 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.

Requirements

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.
Strong hands-on experience with Snowflake
Strong hands-on experience with dbt
Strong hands-on experience with Fivetran
Strong hands-on experience with Power BI
SQL (expert-level proficiency)
Strong experience with Dimensional modeling
Strong experience with Semantic modeling
Strong experience with Data modeling best practices
Strong experience with Data warehouse concepts and architecture
Additional experience designing and implementing end-to-end data solutions from source ingestion through dashboard delivery.
Additional experience building Power BI semantic models and developing DAX measures.
Additional experience creating reports, dashboards, and visual analytics solutions.
Additional experience working with stakeholders to translate business requirements into scalable technical solutions.

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.