Data Engineer: Cloud ETL Pipelines & Data Lake Specialist

TEKsystems; Sunnyvale (CA); Hybrid; USD 103,000 - 110,000; Full time

Job summary

TEKsystems is hiring a Data Engineer for a contract role based in Sunnyvale, CA, with a hybrid work arrangement. This position requires 3-5 years of data engineering experience, a CS/Engineering degree, and deep Splunk expertise to move data into Snowflake and other cloud warehouses.

You will design scalable ETL pipelines, optimize data models in data lakes, and monitor data infrastructure while collaborating with cross-functional teams to deliver reliable data solutions.

Qualifications

• 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, dashboards, and 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.

Responsibilities

• 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.

Skills

Data engineering

ETL

Snowflake

Splunk

Education

Bachelors or Masters in CS/Engineering or related

Tools

Spark

Kafka

Iceberg

Tableau

Streamlit

Job description

TEKsystems is hiring a Data Engineer for a contract role based in Sunnyvale, CA, with a hybrid work arrangement. This position requires 3-5 years of data engineering experience, a CS/Engineering degree, and deep Splunk expertise to move data into Snowflake and other cloud warehouses.

You will design scalable ETL pipelines, optimize data models in data lakes, and monitor data infrastructure while collaborating with cross-functional teams to deliver reliable data solutions.