Senior Snowflake Data Engineer — Hybrid, Optimize Pipelines

Cyber Sphere LLC

Houston (TX)

Hybrid

USD 120,000 - 150,000

Full time

4 days ago
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Job summary

Cyber Sphere LLC in Houston, TX and Allentown, PA is seeking a Sr Snowflake Data Engineer to help build our data platform and deliver business use cases through iterative waves. Hybrid work: three days onsite each week.

You will design and implement Snowflake pipelines, data transformations, and reusable components while optimizing performance, cost, and reliability. Collaboration with platform, governance, and UAT teams is essential.

Qualifications

  • Hands-on Snowflake experience with data modeling and scalable warehouse/lakehouse patterns.
  • Knowledge of transactional data systems such as ERP or Trading platforms.
  • Working knowledge of AWS services (S3, Glue, Lambda, Athena, EMR, Redshift).

Responsibilities

  • 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.

Skills

Snowflake pipelines
Data modeling
Performance optimization
Access controls
Data warehouse
Data lakes
Transactional data systems
AWS services
S3
Glue
Lambda
Athena
EMR
Redshift

Tools

Snowflake
AWS
S3
Glue
Lambda
Athena
EMR
Redshift

Job description

Cyber Sphere LLC in Houston, TX and Allentown, PA is seeking a Sr Snowflake Data Engineer to help build our data platform and deliver business use cases through iterative waves. Hybrid work: three days onsite each week.

You will design and implement Snowflake pipelines, data transformations, and reusable components while optimizing performance, cost, and reliability. Collaboration with platform, governance, and UAT teams is essential.

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