Hiring: Senior Data Warehouse Engineer Company: Fingerprint Location: Chicago, IL Job Posted Time: 2026-09-16 21:17:34 Employment Type: Remote Target Skills & Keywords : AWS, Airflow, Apache, Bash, BigQuery, ClickHouse, Data Pipeline, Data Warehouse, Databricks, ELT, GCP, GDPR, Gradle, Kafka, Machine Learning, Postman, Prefect, Python, Redis, Redshift, SQL, Snowflake, Terraform, dbt About the job Required Skills: •Architect and build scalable, high-performance data warehouse solutions that empower analytics and operational excellence across our platform. •Develop and maintain reliable, well-documented data pipelines and ELT processes, ensuring data quality and consistency. •Continuously tune and optimize data warehouse performance—partitioning, indexing, and query optimization are your bread and butter. •Partner with data analysts and scientists to transform raw data into insightful, actionable analytics and machine learning models. •Troubleshoot, monitor, and refine our data warehouse infrastructure, balancing speed and cost efficiency. •Foster a data-driven culture by sharing best practices and championing clean, well-structured data. •Interface directly with modern cloud-based data warehouses like ClickHouse and ensure seamless integration with our services. •Contribute to the development of new developer-facing data tools that empower teams across the company. Qualifications: •A team player who loves collaborating in a tight-knit, cross-functional team. •A high degree of ownership and autonomy, with a proven ability to thrive in ambiguous environments. •Strong communication skills in English to navigate our global, remote team. •Extensive experience designing, implementing, and optimizing data warehouses in cloud environments. •Hands-on expertise with data modeling and transformation tools like dbt. •Excellent SQL skills and familiarity with modern columnar storage data warehouses (e.g., ClickHouse, Databricks, BigQuery, or Snowflake). •Operational familiarity with BI tools (e.g., Apache Superset, Sigma, Tableau, Looker) is a plus. •A solid foundation in software engineering best practices: version control, code reviews, testing, and automation. •Exposure to infrastructure-as-code tools (like Terraform) and a DevOps mindset is a bonus. •Bonus points for scripting/automation experience in Bash, Python, or Go. Compensation: •$152,000 - $205,000 / year •Flexible work environment (work from home / hybrid options) •Exposure to infrastructure-as-code tools (like Terraform) and a DevOps mindset is a bonus 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!