Cloud Data Engineer — ETL, Data Lakes, Hybrid (Sunnyvale)

TEK Systems; Sunnyvale (CA); Híbrido; USD 103 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical, dental & vision

401(k) Retirement Plan

Life Insurance

PTO

Resumo da oferta

TEKsystems is seeking a data engineering contractual professional in Sunnyvale, CA to design and maintain scalable data pipelines and ETL workflows. The role emphasizes building and optimizing data models in Data Lakes and cloud warehouses, with strong emphasis on Splunk data handling and BI-ready outputs.

The ideal candidate has 3-5 years of data engineering experience, a CS-related degree, and hands-on work with Snowflake, Iceberg, and SQL optimization.

Qualificações

• 3-5 years of experience in Data Engineering.
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• Deep experience with Splunk, including data handling, building dashboards, and developing ETL processes to move data from Splunk into data warehouses.
• Experience building ETL pipelines and implementing BI concepts on Cloud data warehouses (e.g., Snowflake).
• Experience with Data Lake technologies (specifically Apache Iceberg).
• Experience developing highly optimized SQL queries, stored procedures, and semantic processes for distributed data applications.

Responsabilidades

• Architect, construct, and maintain robust, scalable data pipelines and complex ETL workflows.
• Manage and optimize data models within modern Data Lakes and cloud data warehouses.
• Administer operational monitoring, log analytics, and troubleshooting of data infrastructure.
• Collaborate with cross-functional teams to understand data needs and translate them into scalable solutions.

Conhecimentos

ETL pipelines

SQL queries

Splunk

Snowflake

Spark

Kafka

Formação académica

Bachelors or Masters in CS or related

Ferramentas

Apache Iceberg

Data Lake technologies

Descrição da oferta de emprego

TEKsystems is seeking a data engineering contractual professional in Sunnyvale, CA to design and maintain scalable data pipelines and ETL workflows. The role emphasizes building and optimizing data models in Data Lakes and cloud warehouses, with strong emphasis on Splunk data handling and BI-ready outputs.

The ideal candidate has 3-5 years of data engineering experience, a CS-related degree, and hands-on work with Snowflake, Iceberg, and SQL optimization.