Hiring: Senior Data Warehouse Engineer Company: Jobgether Location: United States Job Posted Time: 2026-09-17 12:10:36 Employment Type: Remote Target Skills & Keywords : AI, AWS, Airflow, Apache, Bash, BigQuery, ClickHouse, Data Pipeline, Data Warehouse, Databricks, ELT, GCP, GDPR, Kafka, Machine Learning, Prefect, Python, Redshift, SQL, Snowflake, Terraform, dbt About the job Required Skills: •As a Senior Data Warehouse Engineer, you will help shape the data backbone that supports a high-scale technology platform and enables smarter business decisions. •Architect scalable data warehouses, build reliable pipelines, and ensure data remains accurate, accessible, and performant. •Interface directly with modern cloud data technologies and optimize warehouse infrastructure for both performance and cost efficiency. •Also contribute to developer-facing data tools and establish engineering practices that promote clean, well-structured data. •Working within a globally distributed, fully remote environment, you will have significant ownership and autonomy over your work. •As a Senior Data Warehouse Engineer, you will own key aspects of the data warehouse and pipeline ecosystem, ensuring scalable infrastructure, reliable data flows, and effective collaboration with teams that depend on high-quality data. Qualifications: •The ideal candidate is an experienced data engineer who combines strong technical depth in data warehousing and cloud infrastructure with a collaborative, autonomous approach to solving complex problems. •Extensive experience designing, implementing, and optimizing data warehouses in cloud environments such as AWS or GCP. •Strong hands-on expertise with data modeling and transformation tools, particularly dbt. •Excellent SQL skills and experience working with modern columnar data warehouses such as ClickHouse, Databricks, BigQuery, or Snowflake. •In-depth knowledge of scalable data pipelines, ELT processes, data quality, and warehouse performance optimization. •Operational familiarity with cloud infrastructure and DevOps practices. •Scripting or automation experience with Bash, Python, or Go is a plus. •Operational familiarity with business intelligence and visualization tools such as Apache Superset, Sigma, Tableau, or Looker is a plus. •Demonstrated capacity to work independently, take ownership, and make effective decisions in ambiguous environments. •Strong collaboration skills and the ability to work effectively with data scientists, analysts, and software engineers. Compensation: •$152,000 - $205,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!