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Staff Data Engineer (Remote - Americas) at Jobgether. This position is posted by Jobgether on behalf of Customer.io. We are currently looking for a Staff Data Engineer in Americas.. This is a high-impact opportunity to own and shape the data infrastructure that drives analytics across the organization. You will design, implement, and maintain a modern, scalable data stack that supports decision-making for teams across the company. The role emphasizes building AI-ready data pipelines, creating a trusted semantic layer, and enabling self-service analytics. You’ll collaborate with analysts, product managers, and data scientists to optimize workflows, streamline governance, and ensure data reliability. This position requires a balance of technical expertise, strategic thinking, and hands-on execution. The ideal candidate thrives in a fast-paced environment, takes ownership, and is excited to influence the future of data systems.. . Accountabilities:. . Design, document, and optimize dbt models to establish a trusted semantic layer that drives key business metrics.. . Administer and enhance the modern data stack (Snowflake, dbt, Sigma, Stitch, Fivetran), ensuring scalability, reliability, and performance.. . Partner with analytics and product teams to deliver accurate, AI-ready data for decision-making and product features.. . Improve pipeline efficiency and governance: refactor SQL, streamline dbt runtimes, reduce costs, and implement RBAC and documentation standards.. . Evaluate and shape the future of data orchestration and infrastructure, including front-end data applications like Streamlit.. . Build automated workflows to simplify processes and support analytics and AI/ML initiatives.. . . 5–8 years of hands-on experience as a Data or Analytics Engineer in fast-paced, high-growth environments.. . Advanced skills in SQL, dbt, and Python, with the ability to build robust models and automate workflows.. . Experience with Snowflake administration, performance optimization, and cost management.. . Familiarity with ETL tools (Stitch, Fivetran) and orchestration frameworks (dbt Cloud, Airflow).. . Knowledge of GCP and Terraform is a plus.. . Demonstrated experience building and improving data systems, not just operating them.. . Strong ownership mentality, curiosity, and excitement for shaping a data platform that supports analytics and AI/ML initiatives.. . Americas-based and comfortable working remotely.. . Company Location: United States.