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# Data Engineer, Splunk & Snowflake

- **Company:** TEKSYSTEMS INC.
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Salary:** $156,000.0 - $166,400.0
- **Contract:** Temporary contract
- **Skills:** Algorithm Design, Data Analysis, Apache HTTP Server, Big Data, Cloud Database, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Structures, Data Systems, Data Visualization, Data Warehousing, Distributed Data Store, Distributed Systems, Log Analysis, Machine Learning, Object-Oriented Software Development, SQL Stored Procedures, SQL Databases, Tableau (Software), Data Processing, Cloud Platform System, Snowflake, Apache Spark, Data Lakes, Information Technology, Apache Kafka, Streamlit Framework, Splunk, Data Pipelines
- **Published:** August 28, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3367837053&tx=FL636FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

The ideal candidate will have strong expertise in Splunk, Snowflake, and ETL/ELT development, with experience building data pipelines that ingest, transform, and deliver data from Splunk into Snowflake and Data Lake environments. Experience developing large-scale distributed data applications using Spark and Kafka is highly preferred. Successful candidates will have a proven track record of delivering scalable, high-performance data solutions that support analytics, reporting, and business intelligence initiatives., 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 Business Intelligence (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.

Preferred Qualifications

5 or more years of experience building enterprise-level data applications on distributed systems.

Experience developing Big Data applications using Spark and Kafka.

Solid understanding of the fundamentals of object-oriented design, data structures, algorithm design, and problem-solving.

Experience with analytics and data visualization tools such as Tableau and Streamlit.

Working experience generating and visualizing data insights, metrics, and KPIs, as well as using basic ML models for anomaly detection, forecasting, and GenAI.

## Description

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 .


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