Senior Data Engineer - SnowflakeQuest for Knowledge • Snowflake, Arizona, United States
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Senior Data Engineer - Snowflake
Quest for Knowledge
- Snowflake, Arizona, United States
- Snowflake, Arizona, United States
About
Design and implement modern data platforms on Snowflake, leveraging its ecosystem to deliver scalable and high-performance data & analytics solutions Build and maintain data pipelines enabling automated ingestion, transformation, and loading of structured and semi-structured data Develop data automation frameworks to accelerate development and ensure consistency across data platforms Work with clients to gather technical requirements, assess current architectures, and define implementation strategies for Snowflake data platforms Implement modern data ingestion and data transformation frameworks (such as dbt) to enable modular, testable, and maintainable data pipelines Apply data modeling approaches such as Data Vault, dimensional modeling, and hybrid patterns to support automated development Collaborate with analytics, data science, and BI teams to integrate Snowflake with downstream data consumption layers Lead technical workshops, architecture sessions, and design and execute proof-of-concepts and short-term technical consulting engagements Mentor and guide team members in Snowflake best practices and modern data engineering techniques Act as a Snowflake subject matter expert within delivery teams, contributing to best practices and continuous improvement of data platform implementations what you’ll bring.
Bachelor’s degree in IT, applied mathematics, statistics, or a related field, or equivalent practical experience 5+ years of experience in data engineering and data warehousing, ideally within a consulting environment 2+ years of hands‑on experience with Snowflake, building and operating modern cloud-based data platforms Strong experience with data modeling methodologies such as Data Vault, dimensional modeling, or 3NF, combined with a solid understanding of data platform architecture concepts, including metadata management, data governance, and data mesh principles Experience designing and operating ELT/ETL data pipelines using cloud-native services (Snowflake), orchestration frameworks (e.g. Airflow), and modern data transformation tools such as dbt Proven expertise in SQL development and performance optimization within Snowflake environments Experience with data warehouse automation platforms or metadata-driven development approaches is highly desirable Experience working in agile environments and applying DevOps practices to data engineering A self‑starter mindset, able to work independently or collaboratively within multidisciplinary teams Non‑negotiable: strong communication skills in DutchandEnglish Why quest for knowledge
A truly collaborative culture – you’ll be surrounded by likeminded pros in everything from tech to strategy. We believe in learning together, sharing knowledge, and supporting each other as a team Room to grow – learning never stops here. From personal development roadmaps to expert‑led courses, workshops and certifications, we’ll help you keep building your skills and pushing your potential Exciting, varied projects – we work with clients across a mix of industries, which means you’ll get to dive into all kinds of interesting projects that keep things dynamic and engaging An innovative environment – we’re all about fresh thinking. At Quest for Knowledge, your ideas matter, and we’re here to support creative problem‑solving and out‑of‑the‑box thinking every step of the way Flexibility that fits your life – we’re all about balance. With flexible work arrangements, you can shape your schedule in a way that works for you Quest for Knowledge is proud to be an equal opportunity employer and welcomes applications from candidates of all backgrounds and experiences. By submitting your application, we will process your personal data to manage the recruitment process and assess your suitability for employment.
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Languages
- English
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