DataEngineer

Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics has transformed into a world-class transport provider and continue to grow. Charger logistics invests time and support into its employees to provide them with the room to learn and grow their expertise and work their way up. We are seeking a **Data Engineer with expertise in SQL, Python, DBT and RisingWave** to join our modern data team. **Responsibilities:** * Design high-performance **SQL pipelines** across PostgreSQL, BigQuery, Snowflake, and MongoDB. * Develop **Python applications** for data ingestion, transformation, and automation. * Implement **RisingWave streaming pipelines** for real-time analytics. * Build **Apache Kafka** architectures for high-throughput data processing. * Orchestrate workflows using **Apache Airflow** on **Google Cloud Platform.** * Optimize queries and implement data quality checks across multiple platforms. * Mentor team members and collaborate with business stakeholders. * Deploy CI/CD workflows using Git for reliable pipeline management. **Requirements** **Required Qualifications:** * Bachelor's degree in Computer Science, Engineering, or related field. * **5+ years of data engineering experience** with **SQL, Python, and RisingWave.** * Must have **AlloyDB and CDC experience (DataStream/Debezium)** * **Expert DBT skills** across Big Query, Snowflake and AlloyDB. * **Expert SQL skills** : CTEs, window functions, optimization across PostgreSQL, BigQuery, Snowflake. * **Advanced Python** : pandas, sqlalchemy, API integration, streaming data processing. * **Production experience** with Apache Kafka, Apache Airflow, and Google Cloud Platform. * Experience with MongoDB, dimensional modeling, and both batch/streaming ETL pipelines. * Strong Git and collaborative development experience. **Technical Skills:** * **Core** : SQL (advanced), Python, RisingWa