> Markdown version of [/jobs/ext/3586925-data-engineer](https://www.wearedevelopers.com/jobs/ext/3586925-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:** Indotronix Avani Group - **Location:** Plano, TX, United States - **Experience:** Starter - **Contract:** Temporary to permanent - **Skills:** Unix, Information Engineering, Extract Transform Load (ETL), Data Systems, SQL Databases, Snowflake, Apache Kafka - **Published:** October 5, 2026 - **Apply:** https://candidateportal.ceipal.com/job-details/tu5mIC0fYtxkTx90WnoZPma6bm-2D9WM6-12lOoQ-tI ## About the Role Proficient in Kafka for data streaming - Skilled in SQL: able to read, write, and troubleshoot queries - Basic understanding of ETL or ELT concepts - Familiar with Unix operating system fundamentals - Motivated, eager to learn, and committed to quality work Preferred Skills - Exposure to Snowflake or Hadoop platforms - Experience with Python scripting - Understanding of data warehousing principles - Background in banking, AML, or financial industries, Ready to launch your data engineering career? Submit your resume and a brief cover letter detailing your experience and motivation. Candidates must be authorized to work in the U.S. without sponsorship. Background check and drug screening required., Must Have: Kafka SQL able to read/write and make queries Basic understanding of ETL concepts or ELT concepts Basic understandin of how the Unix environment works Snowflake ## Description Join a fast-paced team as a Junior Data Engineer and launch your career in data engineering. This role is perfect for motivated individuals eager to build technical skills in a collaborative environment. You'll work with modern data tools, support critical projects, and gain hands-on experience in the financial sector. Whether you're a recent college graduate or have up to two years of experience, you'll find opportunities to learn, grow, and make an impact., Develop and maintain data pipelines using Kafka and SQL - Write, read, and optimize SQL queries to support data processing tasks - Apply foundational ETL/ELT concepts for data integration and transformation - Collaborate with senior engineers on data warehousing and analytics initiatives - Troubleshoot data issues and ensure data quality - Work within a Unix environment for data operations and scripting - Contribute to project documentation and continuous improvement efforts