Senior Data Engineer - Snowflake

Quest for Knowledge; Snowflake (AZ); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Collaborative culture

Personal development opportunities

Flexible work arrangements

Job summary

Quest for Knowledge is seeking a Data Engineer in Snowflake in Arizona. The role mandates a Bachelor's degree and significant experience in data engineering and Snowflake, emphasizing the design of automated data platforms. Candidates must possess strong SQL abilities and expertise in data modeling methodologies. Benefits include a collaborative culture, learning opportunities, and flexible work arrangements. Join us to shape next-generation data platforms with exciting projects and a supportive environment.

Qualifications

• 5+ years of experience in data engineering and data warehousing.
• 2+ years of hands-on experience with Snowflake.
• Experience designing ELT/ETL data pipelines using cloud-native services.

Responsibilities

• Design and implement data platforms on Snowflake for scalable data & analytics.
• Build and maintain automated data pipelines.
• Collaborate with clients to understand technical requirements.

Skills

Data engineering

Communication in Dutch and English

SQL development

Data modeling methodologies

Education

Bachelor’s degree in IT or related field

Tools

Snowflake

dbt

Airflow

Job description

Do you believe traditional data warehouses should evolve into automated, scalable, and metadata-driven platforms? Are you passionate about modern data architectures — from cloud data ingestion and lakehouse patterns to Snowflake as a core data platform, combined with data fabric and enterprise data catalogs that enable better data discovery, governance, and integration within organizations? Join us in shaping the next generation of Snowflake-powered data platforms, leveraging cloud technologies, modern data architectures, and data automation frameworks.

what you’ll do.

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.