Senior Data Engineer

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in United States.** This role offers the opportunity to design and scale the data infrastructure behind a high-growth digital marketplace. You will build reliable, reusable data systems that empower teams across product, marketing, analytics, and business operations. As a senior technical contributor, you will influence data architecture, governance, and engineering best practices. You will collaborate closely with cross-functional stakeholders to transform complex business needs into scalable data solutions. The ideal candidate is passionate about data quality, automation, and building systems that enable better decision-making. This position combines technical ownership, strategic impact, and the autonomy to shape the future of a modern data ecosystem. ### Accountabilities: In this role, you will own the reliability, scalability, and evolution of the organization’s data infrastructure while partnering with teams across the business to deliver trusted insights and solutions. You will contribute to improving data maturity, enabling analytics and AI-driven initiatives, and ensuring data systems are built with long-term sustainability in mind. - Own the reliability, availability, accuracy, and performance of core data infrastructure while maintaining strong data privacy and governance standards. - Design, build, and optimize end-to-end data pipelines using modern data engineering practices and technologies. - Develop centralized, reusable data models and semantic layers that support business intelligence, analytics, and AI/ML workflows. - Create and maintain reliable data integrations, including Reverse ETL pipelines, APIs, and data feeds supporting business and growth initiatives. - Partner with Analysts, Product Managers, Engineers, Marketing, Legal, Fraud, and other stakeholders to translate business requirements into effective data solutions. - Establish data quality standards, monitoring practices, SLAs, and observability frameworks to proactively identify and resolve issues. - Improve data governance practices by defining standards, closing operational gaps, and promoting responsible data usage. - Introduce new data sources, enhance existing models, and continuously improve the organization’s data capabilities. - Support marketing and customer engagement initiatives through accurate and scalable data feeds across external platforms. - Advocate for strong engineering practices by building intuitive, maintainable systems and sharing knowledge with teammates and stakeholders. ## Requirements: The ideal candidate is an experienced data engineer who combines strong technical expertise with business understanding, ownership, and excellent collaboration skills. You should be comfortable operating independently, solving complex problems, and building systems that serve both technical and non-technical users. - 5+ years of experience in software engineering, data engineering, or related technical roles. - Strong experience designing, building, and maintaining complete data pipelines from ingestion through consumption. - Advanced SQL skills and strong proficiency in Python. - Hands-on experience with modern data stack technologies such as Snowflake, dbt, Airflow, Fivetran, Segment, Looker, Amplitude, Algolia, AWS/Lambda, and Git. - Experience designing, consuming, and maintaining APIs and data integrations. - Strong understanding of analytics engineering principles and scalable data architecture. - Experience implementing data quality monitoring, alerting, and governance practices. - Ability to manage projects from discovery and planning through execution and delivery. - Strong communication skills with the ability to collaborate effectively with engineers, executives, and business stakeholders. - Comfortable working autonomously in a fast-paced environment with changing prio…