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Data Engineer Manager (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineering Manager in the United States.. This is a hands-on leadership role for an experienced data professional eager to build and scale a modern data ecosystem from the ground up. As Data Engineering Manager, you will lead a team of skilled engineers in designing, implementing, and optimizing data infrastructure that powers business insights and decision-making. You’ll collaborate closely with senior stakeholders, ensuring data reliability, governance, and accessibility across the organization. The ideal candidate combines deep technical expertise with strong leadership and communication skills, fostering a culture of collaboration, innovation, and excellence within the data team.. . Accountabilities. Lead the end-to-end development and deployment of a modern, scalable data warehouse architecture.. Partner with stakeholders to understand data requirements and align solutions with business objectives.. Design and implement robust data pipelines, ensuring quality, integrity, and availability across systems.. Evaluate and select appropriate tools and technologies for data storage, processing, and analytics.. Define and enforce best practices for data governance, documentation, and lifecycle management.. Oversee daily team operations, providing technical guidance, mentorship, and performance management.. Work across multiple data sources within a complex ecosystem to drive consistency and reliability.. Ensure compliance with data security and privacy standards throughout all systems and processes.. 10+ years of professional experience in data engineering, with a strong record of building and maintaining large-scale data systems.. 3+ years in a leadership or management role, ideally in cross-functional or high-performing teams.. Expertise in modern data stack technologies such as Snowflake, dbt, Airflow, Spark, Redshift, or BigQuery.. Proficiency in Python, SQL, and Git-based version control systems.. Strong understanding of data modeling, data warehousing, and distributed systems architecture.. Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments.. Bachelor’s degree in Computer Science, Information Systems, or a related field.. Proven ability to manage multiple priorities and deliver results in a fast-paced environment.. . Company Location: United States.