Dagster Engineer

Job Overview We are looking for a skilled Dagster Software Engineer with strong experience in dbt to design, develop, and maintain modern data pipelines. You will work closely with data engineering and analytics teams to ensure scalable, reliable, and maintainable data workflows. Key Responsibilities • Develop and maintain data pipelines using Dagster for orchestration and dbt for transformations. • Design, implement, and optimize ELT processes to ensure high performance and scalability. • Build and manage modular, testable, and reusable data models in dbt. • Integrate data from multiple sources into data warehouses like Snowflake, BigQuery, or Redshift. • Implement best practices for version control, CI/CD, and automated testing in data workflows. • Monitor and troubleshoot data pipeline performance, reliability, and data quality issues. • Collaborate with data analysts, BI teams, and stakeholders to deliver business-critical data products. Required Skills & Qualifications • 3+ years of experience in data engineering or similar role. • Hands-on experience with Dagster for workflow orchestration. • Strong proficiency in dbt for data modeling and transformations. • Proficiency with SQL and experience with modern cloud data warehouses (Snowflake, BigQuery, or Redshift). • Experience with Python for building and customizing pipeline components. • Familiarity with CI/CD pipelines, Git, and containerization (Docker). • Strong understanding of data modeling principles, ELT/ETL patterns, and data governance best practices. Preferred Qualifications • Experience with cloud platforms (AWS, GCP, or Azure). • Familiarity with analytics engineering concepts and modern data stack tools. • Knowledge of observability tools for data pipelines (e.g., Great Expectations, Monte Carlo).