Data Engineer

Junior - Mid Level Data Engineer Start: ASAP; Green Card or US Citizen Skills: -Python (and python libraries) -SQL -GCP (be able to create Dags) -Spark -working with ML Libraries is a plus Overview We are seeking an junior to mid-level Data Engineer to join our engineering team and help design and build scalable data pipelines and automation frameworks that support analytics, quality engineering, and platform reliability initiatives. This is a hands-on engineering role. You will focus on building data workflows, orchestration pipelines, and automation systems using modern cloud and data engineering tools within GCP. What You’ll Do • Design, build, and maintain data pipelines and ETL/ELT workflows • Develop and schedule Airflow DAGs for automated processing • Write scalable data transformations using Python, SQL, and Spark • Work within GCP services to deploy and manage data workflows • Build automation frameworks to support data validation and system reliability • Partner with engineering teams to improve data quality and operational efficiency • Contribute to POCs and internal tools, including AI/ML or data-driven initiatives when applicable • Support occasional cross-team efforts when high-priority delivery requires collaboration Required Skills • 3 -5 years of hands-on experience in Data Engineering or Data Platforms • Strong Python (data processing, scripting, automation) • Strong SQL • Experience building ETL/ELT pipelines • Experience with Apache Airflow (DAG creation, scheduling, orchestration) • Familiarity with Google Cloud Platform (GCP) services • Basic experience with Spark or distributed data processing • Understanding of data modeling and pipeline best practices