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# Bigdata Engineer with Java

- **Company:** Diverse Lynx LLC
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $104,000.0 - $124,800.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Amazon S3, Big Data, Cloud Computing, Code Review, Databases, Information Engineering, Data Files, Extract Transform Load (ETL), Data Mining, Data Warehousing, Relational Databases, Software Engineering, SQL Databases, Data Processing, Data Storage Management, Data Storage Technologies, Apache Spark, Backend, Data Lakes, Information Technology, Apache Kafka, Data Management, Stream Processing, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/bigdata-engineer-with-java-austin-tx--42820d25-cc59-4d2f-9365-a9db7a04ebd0

## About the Role

Software Engineering, Java, Data Management, Java, SQL (Structured Query Language), Database Extract Transform and Load (ETL), Data Sets, Analysis Skills, Cloud Computing, Data Storage, * Bachelor''s degree in Computer Science or a related field (or equivalent experience).

 * 5+ years of experience in back-end development with a focus on data engineering.

Required Skills:

 * Strong proficiency in Spark, Java.
 * Expertise in SQL and working with relational databases.
 * Experience with Data Frames for data manipulation and analysis.
 * Experience with cloud technologies (preferably AWS or Eligible to workP).
 * Experience with message streaming platforms like MSK/Kafka.
 * Experience with S3 or similar object storage.
 * Experience with data lake technologies like Iceberg.
 * Solid understanding of data warehousing concepts.
 * Excellent communication and collaboration skills.

## Description

* Design, develop, and maintain data pipelines using Java.
 * Write efficient and Eligible to workimized SQL queries for data extraction, transformation, and loading (ETL) processes.
 * Work with Data Frames to manipulate and analyze large datasets.
 * Implement data storage and processing solutions using cloud technologies (preferably AWS or Eligible to workP).
 * Build and maintain real-time data streaming pipelines using MSK/Kafka.
 * Utilize S3 for data storage and retrieval.
 * Work with data lake technologies like Iceberg.
 * Ensure data quality, integrity, and security.
 * Collaborate with data scientists and other engineers to understand data requirements and deliver solutions.
 * Participate in code reviews and contribute to improving our development processes.
 * Troubleshoot and resolve issues in data pipelines and back-end systems.