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Senior Data Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Senior Data Engineer. in the . United States. .. As a Senior Data Engineer, you will play a pivotal role in designing, building, and optimizing scalable data pipelines that power analytics, marketing, and data science initiatives. You will take ownership of major components of the organization’s data infrastructure, ensuring high-quality, reliable, and performant data delivery. This role combines technical mastery with leadership, allowing you to mentor junior engineers, drive complex projects, and implement best practices in data engineering. You will collaborate across teams to integrate multiple data sources, enhance data transformation workflows, and maintain data integrity at scale. The position offers an innovative, remote-first environment where your contributions directly impact business insights and decision-making. You will also have opportunities to shape architectural standards and influence the evolution of the data ecosystem.. . Accountabilities. Design, build, and maintain robust, scalable data pipelines into cloud-based data warehouses, optimizing for performance, cost, and reliability.. Architect and implement advanced data models using DBT, including establishing testing, documentation, and code quality standards.. Lead integrations with third-party platforms, including Segment, to ensure accurate and consistent data across the organization.. Own complex data projects end-to-end, collaborating with BI, Marketing, and Data Science teams to deliver production-ready solutions.. Mentor junior engineers, lead code reviews, and foster a culture of technical excellence and continuous improvement.. Identify opportunities for system improvements and implement solutions to enhance the overall data ecosystem.. . 5–8 years of professional experience in data engineering, with a proven track record of designing and owning production data pipelines.. Deep expertise in cloud-based data warehousing, especially BigQuery, and strong knowledge of data modeling and schema optimization.. Advanced proficiency with DBT and experience in architecting scalable, maintainable data transformation workflows.. Experience integrating multiple third-party data sources and managing event streaming strategies.. Strong architectural mindset with the ability to design scalable and resilient data systems.. Effective collaboration and mentorship experience, with the ability to guide junior engineers.. Excellent problem-solving, analytical, and communication skills.. Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.. . Company Location: United States.