Senior Snowflake Data EngineerStrategio Inc. • New York, New York, United States
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Senior Snowflake Data Engineer
Strategio Inc.
- New York, New York, United States
- New York, New York, United States
Über
In this role, you will design, build, and optimize scalable data pipelines and backend data services while leveraging Snowflake, Python, and PySpark to power modern data analytics platforms. You will play a critical role in developing high-performance data models, improving platform performance, and enabling advanced analytics and AI-driven insights across the organization.
You will collaborate with cross-functional engineering, analytics, and product teams to deliver reliable, secure, and scalable data solutions in complex enterprise environments.
About You: You are a senior data engineer and systems thinker who thrives in complex data ecosystems and enjoys designing scalable, high-performance data platforms.
You approach data engineering as both a technical craft and a strategic discipline, balancing performance optimization, data quality, and long-term platform scalability.
You are highly collaborative and enjoy working with cross-functional teams to turn raw data into reliable and meaningful data products that drive business impact.
As a Strategio Senior Snowflake Data Engineer, you will:
Designing and building scalable data pipelines and backend services using Python, PySpark, and Snowflake.
Developing and optimizing Snowflake data models, ensuring efficient query performance, scalability, and maintainability.
Implementing advanced SQL solutions and data modeling techniques including dimensional modeling and data mart architecture.
Leveraging Snowflake Cortex AI or similar AI-enabled capabilities to support advanced analytics and data-driven insights.
Delivering end-to-end data engineering solutions across cloud-based data platforms and distributed data processing frameworks.
Supporting or collaborating on data-driven applications and dashboards, with working knowledge of React.js and modern front-end integrations.
Implementing data governance, security, and compliance best practices to ensure safe and reliable data delivery.
Collaborating closely with cross-functional teams including product managers, data scientists, analysts, and platform engineers to deliver scalable data products.
Core Skills
7+ years of experience in data engineering or backend development roles
Strong hands-on experience with Python, PySpark, and Snowflake
Proven expertise in Snowflake data modeling, performance tuning, and optimization
Advanced proficiency in SQL and scalable data model design
Experience working with Snowflake Cortex AI or similar AI-enabled data platform capabilities
Strong understanding of modern data warehousing concepts including ELT/ETL, dimensional modeling, and data mart architecture
Experience delivering end-to-end data engineering solutions in cloud environments
Working knowledge of React.js for data-driven application support
Experience with AWS cloud platforms
Strong understanding of distributed data processing frameworks
Knowledge of data security, governance, and compliance best practices
Proven ability to collaborate effectively within complex enterprise environments
Nice-to-Haves:
Experience implementing Snowflake-native features such as Snowpipe, Streams, Tasks, or Dynamic Tables
Familiarity with data pipeline orchestration tools such as Airflow or similar workflow schedulers
Experience building data platforms that support machine learning or advanced analytics workloads
Exposure to real-time or near-real-time data processing pipelines
Experience supporting data visualization or analytics tools (Tableau, Power BI, or similar BI platforms)
Your job search ends here.
If you’re eager to contribute to cutting-edge projects and want to work with a high-performance team, apply now.
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Sprachkenntnisse
- English
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