> Markdown version of [/jobs/ext/4004682-data-engineer](https://www.wearedevelopers.com/jobs/ext/4004682-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** TEKSYSTEMS INC. - **Location:** Sunnyvale, CA, United States (Remote available) - **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 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, Snowflake, Apache Spark, Data Lakes, Information Technology, Apache Kafka, Streamlit Framework, Splunk, Data Pipelines - **Published:** October 29, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/ca/sunnyvale/4106f68c-f0a5-475b-913b-59ecb7c06223 ## About the Role 3-5 years of experience in Data Engineering. Bachelors 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. Education Bachelors or Masters degree in Computer Science or a related field, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. ## Description Dashboard Operations Data Lakes Scalability Forecasting Data Analysis Data Modeling Data Pipelines Apache Iceberg Data Structures Computer Science Algorithm Design Machine Learning Data Warehousing Stored Procedure Anomaly Detection Business Valuation Data Visualization Big Data Application Business Intelligence Full Stack Development Object-Oriented Design Distributed Data Store Business Transformation SQL (Programming Language) Snowflake (Data Warehouse) Extract Transform Load (ETL) Key Performance Indicators (KPIs) Troubleshooting (Problem Solving) Tableau (Business Intelligence Software), 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 .