Senior Data Engineer – Python, Snowflake

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October 17

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CompassX Group

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B2B • Consulting • Technology

CompassX Group is a business and technology consulting firm that specializes in delivering services across several sectors including financial services, healthcare, life sciences, and consumer discretionary. Their expertise includes technology advisory, data solutions, business resiliency, and agile product evolution, helping organizations to implement effective strategies and improve operational efficiencies.

11 - 50 employees

Founded 2009

🤝 B2B

📋 Description

• Design, build, and maintain ETL/ELT pipelines using Python, integrating data from APIs, flat files, and relational systems into Snowflake • Develop and optimize data models and transformations (dbt) to support reporting and analytical use cases • Implement data validation, testing, and quality checks to ensure accuracy and reliability across datasets • Manage data workflows, orchestration, and automation using modern tools and practices (e.g., Airflow, GitHub Actions) • Support downstream users and analysts by preparing clean, well-structured datasets for Power BI dashboards and reports • Contribute to the development and management of containerized environments using Docker and Linux • Collaborate with BI developers, analysts, and business stakeholders to deliver end-to-end data solutions • Help define and promote data engineering best practices, frameworks, and standards within a growing data environment

🎯 Requirements

• 7–10 years of data engineering experience across the full data lifecycle • Strong programming experience in Python, including data libraries such as Pandas, PySpark, or SQLAlchemy • Advanced SQL skills and hands-on experience developing transformations using dbt • Experience with Snowflake or similar cloud data platforms (e.g., Redshift, BigQuery) • Working knowledge of Linux, Docker, and GitHub Actions for environment management and CI/CD automation • Understanding of data architecture concepts, including modeling, lineage, and orchestration • Exposure to Power BI and experience supporting analytics or BI teams • Comfortable working in a fast-paced, collaborative, global environment