Data Engineer (DBT, Snowflake, Python)
Data Engineer (DBT, Snowflake, Python)Location: Boston, MA (Onsite Position)Type: Long Term ContractExperience: 10+ yearsOnly H1B holdersRole OverviewWe are looking for a skilled Data Engineer with 6-9 years of strong hands-on experience in building scalable and efficient data pipelines. The ideal candidate will have deep expertise in DBT, Snowflake, and Python, and a solid understanding of modern data engineering practices.You will be responsible for designing, developing, and optimizing data pipelines and transformation workflows to support analytics, reporting, and business intelligence needs.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines using DBT, Snowflake, and PythonBuild and manage data transformation workflows using DBT (models, macros, testing, and documentation)Develop efficient data ingestion and processing pipelines using PythonOptimize Snowflake data models, queries, and performance for large-scale datasetsEnsure data quality, reliability, and consistency through testing and validation frameworksCollaborate with data analysts, business teams, and stakeholders to understand data requirementsImplement best practices for data modeling, version control, and pipeline orchestrationMonitor and troubleshoot data pipeline issues and performance bottlenecksMaintain clear and structured documentation for data workflows and pipelinesRequired Skills & Qualifications5–7 years of hands-on experience in Data EngineeringStrong expertise in DBT (Data Build Tool)Solid experience with Snowflake (data warehousing, performance tuning, optimization)Strong expertise in Python for data processing and pipeline developmentGood understanding of SQL and data modeling concepts (star schema, dimensional modeling)Experience with data pipeline orchestration tools (Airflow or similar)Familiarity with data quality and testing frameworksStrong problem-solving and analytical skillsPreferred QualificationsExperience working in cloud environments (AWS, Azure, or GCP)Familiarity with CI/CD practices for data pipelinesExposure to real-time or streaming data pipelines is a plusExperience in enterprise-scale data platformsKey DeliverablesRobust and scalable data pipelinesOptimized Snowflake data models and queriesDBT-based transformation frameworksHigh-quality, reliable datasets for analytics and reporting.