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# Technical Lead / Data Engineer

- **Company:** Akkodis group
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Salary:** $101,920 - $108,160
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Airflow, Business Analytics Applications, Data Analysis, Big Data, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), MongoDB, NoSQL, Systems Development Life Cycle, Software Engineering, Subversion, Enterprise Data Management, Data Processing, Apache Spark, Spring-boot, Git, Pyspark, Integration Tests, Information Technology, Apache Flink, Cassandra, Apache Kafka, Data Management, Data Pipelines, Microservices
- **Published:** November 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/technical-lead-data-engineer-irving-tx--65c8733b-d5c4-4d1b-b926-c4b60ed5d589

## About the Role

Technical Leadership, Technical Leadership, Scalable System Development, Data Processing, Data Management, Apache Kafka, Apache Spark, Data Analysis, Performance Management, Identify Issues, * Bachelor's degree in computer science, Information Technology, Engineering, or a related field.

 * 5-10 years of experience in Data Engineering, Software Development, or Big Data technologies.
 * Hands-on expertise in Python, Java, Apache Spark, PySpark, Apache Flink, Kafka, and Airflow for building scalable data pipelines.
 * Strong experience working with MongoDB, Cassandra, and other relational/NoSQL databases in enterprise environments.

## Description

Modis is seeking a Technical Lead / Data Engineer for a Contract with a client in Irving, TX/ Temple terrace, FL (Hybrid). The ideal candidate will design and build scalable real-time data pipelines using Apache Spark, PySpark, Flink, and Kafka to power high-volume data processing and analytics solutions., * Design, develop, and maintain scalable real-time and near real-time data pipelines using Apache Spark, PySpark, Flink, Kafka, and Airflow.

 * Extract, transform, and load data from relational and NoSQL databases, including MongoDB, into enterprise data platforms.
 * Build and enhance microservices and APIs using Java, Spring Boot, and Python to support data-driven applications.
 * Monitor, troubleshoot, and optimize data workflows to ensure high performance, reliability, and data quality.
 * Collaborate with cross-functional Agile teams to deliver innovative data engineering solutions and meet business requirements.
 * Develop unit and integration tests, maintain code quality standards, and manage source code using Git/SVN version control tools.