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# Senior Data Engineer (AWS | Python | Data Platform)

- **Company:** Dyne IT Services LLC
- **Location:** Irvine, CA, United States
- **Experience:** Expert
- **Salary:** $140,000 - $180,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Data Analysis, Bash Shell, Big Data, Cloud Database, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Database Design, Dimensional Modeling, Apache Hadoop, Apache Hive, Python (Programming Language), Linked Data, Microsoft SQL Server, Oracle (Applications), Azure Data Lake, Shell Script, Software Engineering, SQL Databases, Cloud Platform System, Informatica Powercenter, Apache Spark, Data Management, Restful APIs, Looker Analytics
- **Published:** October 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3e139cf1b79d9c47

## About the Role

* Hands-on data engineering experience with AWS, Python, SQL, ETL pipeline development, and data warehousing design.
 * Knowledge of big data, data warehouse architecture, Spark, Hadoop, Apache Hive, and cloud-based data platforms.
 * Familiarity with data modeling, dimensional modeling, database design, SQL databases, and query management.
 * Experience with Java, Microsoft SQL Server, Oracle, Informatica, Looker, Azure Data Lake, RESTful APIs, or linked data is useful; not every tool is required.
 * Understanding of Agile methods, software development, shell scripting, business intelligence tools, and analytics.

## Description

* Design, develop, and maintain data engineering solutions, including ETL (extract, transform, load) pipelines, data warehouses, and cloud databases.
 * Build and optimize big data systems using AWS, Python, Spark, Hadoop, Apache Hive, and SQL; apply Java or Bash and shell scripting where appropriate.
 * Create data models, dimensional models, and database designs across SQL databases such as Microsoft SQL Server and Oracle; support linked data and query management.
 * Integrate data with RESTful APIs and tools such as Informatica, Looker, and Azure Data Lake; strengthen data management integration and public cloud practices.
 * Collaborate in Agile software development, applying analysis skills to analytics and business intelligence tools, and supporting model training as needed. Your impact: Well-designed pipelines and models help teams make informed decisions with consistent, accessible data.