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Senior Snowflake Data Engineer - Talent Pipeline

Blue

Remote, USA

Full-time

Senior Level

Remote

Discovered 1 weeks ago

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BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year.

We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches.

With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results.

Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth.

We don't just strategize — we execute.

About The Role

BlueCloud is seeking an experienced Senior Snowflake Data Engineer to design, build, and optimize scalable data solutions within complex enterprise environments.

This is a hands-on engineering role focused on developing reliable data pipelines, improving Snowflake performance and cost efficiency, and modernizing existing data-processing workloads.

You will collaborate with data architects, analysts, DevOps engineers, and client stakeholders to deliver secure, maintainable, and high-performing data platforms.

The ideal candidate combines strong Snowflake expertise with advanced SQL and Python skills and has experience delivering data solutions in cloud-based enterprise environments.

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Design, develop, and maintain scalable data pipelines and transformation workflows within Snowflake.
Build and optimize ELT/ETL processes using SQL, Python, Snowpark, dbt, and Snowflake-native capabilities.
Modernize existing Python- and stored-procedure-based pipelines using set-based processing, incremental loading, and reusable engineering patterns.
Implement Snowflake-native data-processing solutions using Dynamic Tables, Streams, Tasks, and stored procedures.
Improve platform performance and cost efficiency through query tuning, warehouse right-sizing, clustering strategies, workload isolation, and auto-suspend and auto-resume policies.
Develop reliable orchestration, dependency management, monitoring, error handling, retry, and recovery mechanisms.
Design and maintain dimensional, relational, and domain-oriented data models.
Implement data-quality checks, observability, testing, lineage, and documentation standards.
Integrate data from batch and real-time sources using tools such as Fivetran, Kafka, Airflow, or similar technologies.
Contribute to CI/CD pipelines, infrastructure-as-code practices, and automated deployment processes.
Work closely with architects and client stakeholders to translate business and technical requirements into production-ready solutions.
Participate in code reviews, technical design discussions, estimation, and Agile delivery activities.

Senior Snowflake Data Engineer - Talent Pipeline

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