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W2 Role -Sr Snowflake Engineer-Location-Hybrid @ Houston, TX or Allenstown, PA-Need Locals

Cyber Sphere LLCHouston, TX🇺🇸United StatesPosted 4 Sept 2026

Why This Role Stands Out

This hybrid Sr. Snowflake Engineer role offers a fantastic opportunity to shape a cutting-edge data platform and deliver impactful business solutions within a collaborative Agile environment. You'll thrive here if you have a strong background in Snowflake, data warehousing, and AWS services, eager to continuously develop your skills and contribute to a growing company. Apply now to leverage your expertise and drive innovation in this dynamic position.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Houston, TX, United States
Posted
19 hours ago
Agile

Job Description

Title Sr Snowflake Engineer

Location-Hybrid @ Houston, TX or Allenstown, PA

Duration Contract

Skills Needed: Building manual and automated pipelines in Snowflake, hands on experience with data models, performance optimization, access controls, data warehouse and data lakes, etc. Experience with transactional data systems such as ERPs or Trading platforms. Knowledge of AWS and its services such as S3, Glue, Lambda, EMR, Redshift, etc.

Location: Houston, TX or Allenstown, PA | Hybrid (3-Days Onsite) | Contract |

This role will help build out the data platform foundation and then deliver business use cases through an iterative, Agile wave-based approach. Each delivery wave will extend reusable platform capabilities while moving prioritized Trading Risk data use cases from design through production. Success will be demonstrated through a production-ready data platform with standardized architecture, security, governance, data quality, CI/CD, and operational practices that can efficiently onboard additional use cases and teams.

The Snowflake Data Engineer will:

  • Build automated and manual data ingestion pipelines into Snowflake.
  • Implement transformations and mappings across the ingestion layers.
  • Develop reusable data transformation components and UDFs.
  • Support architectural decisions related to connectivity, platform configuration, and workload design.
  • Optimize pipelines and Snowflake workloads for performance, reliability, and cost.
  • Deliver prioritized use cases through iterative Design, Build, Business Testing, Operational Testing, and Production cycles.
  • Support UAT, production readiness, deployment, rollback, recovery, and business continuity procedures.
  • Help establish reusable platform capabilities so that subsequent use cases can be delivered more efficiently.

Must Have:

  • Hands-on experience with Snowflake, including data modeling, performance optimization, access controls, and scalable warehouse/lakehouse patterns.
  • Functional understanding of transactional data systems, such as a Trading or ERP system.
  • Working knowledge of AWS services such as S3, Glue, Lambda, Athena, EMR, Redshift, and cloud-based data architectures.

Regards,

Sai Srikar

Email:

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