Data Engineer

Role overview A data engineering role focused on building and scaling robust data solutions that support critical business needs. The position develops high-performance pipelines, enables reliable data transformation, and delivers production-ready systems, owning solutions from concept through production. The work spans extraction, loading, transformation, and orchestration, with an emphasis on modern software engineering practices and cloud-native deployment.

Responsibilities - Build, scale, and maintain robust data solutions across the platform. - Implement and optimize high-performance data pipelines (extraction, loading, transformation, and orchestration) designed for scalability, reliability, maintainability, and speed. - Champion modern software engineering practices including CI/CD, infrastructure-as-code, containerization, and cloud-native deployments. - Collaborate with business stakeholders to translate use cases into production-ready services and solutions, owning the system from concept to production. - Implement rigorous testing and monitoring practices to maintain high data quality and integrity.

Requirements - Bachelor's degree or higher in a STEM field; concentration in Computer Science, Mathematics, Physics, or another engineering-related field preferred. - 5+ years of experience in data engineering or a related discipline, with a proven track record of success. - Expertise in Python and SQL, with a strong foundation in data manipulation and analysis. - Proficiency with Databricks/PySpark and dbt for data warehousing and transformation tasks. - Experience with workflow orchestration tools such as Airflow or Dagster. - Demonstrated experience designing and implementing complex data systems from the ground up, including large-scale data cleaning, ETL, and information retrieval. - Excellent verbal and written communication skills.

Nice to have - Experience working with large language models, including prompt engineering, retrieval-augmented generation, and vector databases. - Knowledge of fundamental machine learning principles, feature engineering, and knowledge graphs.

Benefits and work setup - Equal opportunity employer that considers all qualified applicants without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local law.