> Markdown version of [/jobs/ext/1227876-software-engineer-iii-data-engineer](https://www.wearedevelopers.com/jobs/ext/1227876-software-engineer-iii-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). --- # Software Engineer III (Data Engineer) - **Company:** Hyundai Corporation (usa) - **Location:** Irvine, CA, United States - **Experience:** Expert - **Salary:** $96,500.0 - $138,061.0 - **Contract:** Permanent contract - **Skills:** Airflow, Big Data, Computer Programming, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Database Storage Structures, Apache Hadoop, Python (Programming Language), Performance Tuning, Cloud Services, Standard Sql, PL-SQL, Data Processing, Cloud Platform System, Apache Spark, Information Technology, Data Pipelines - **Published:** July 10, 2026 - **Apply:** https://www.juju.com/job/00000000gf4dbz ## About the Role + Bachelor's degree in Computer Science, Information Technology, or related field. + 10+ years of experience in data warehouse and MDM applications. + Extensive knowledge of SQL and relational databases. + Strong programming skills in Python and PL/SQL. + 10+ years of experience working with Informatica. + Knowledge of Informatica IDMC and PowerCenter is a must. + Knowledge of big data technologies such as Apache Spark, Hadoop, or equivalent cloud-based services. + Strong understanding of data governance, security, and quality practices in cloud environments. ## Description We are seeking a motivated and detail-oriented Data Engineer to join our data engineering team. The role focuses on developing workflow automation using Apache Airflow and building scalable data pipelines. You will collaborate with data scientists, analysts, and engineering teams to ensure seamless data integration and optimize data-driven processes. What You Will Do + Design, build, and maintain scalable data pipelines and ETL processes to transform and integrate data from multiple sources. + Develop workflow automation using Apache Airflow and manage production batches with performance tuning. + Create and optimize data models, schemas, and database structures for scalability and efficiency. + Implement best practices in data warehouse and MDM applications, ensuring data governance, security, and quality. + Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions. + Develop scripts and automation tools to streamline data processing and pipeline operations. + Implement automated monitoring, alerting systems, and maintain documentation for pipelines and data models. + Create reports and visualizations to communicate pipeline performance and data insights., Our team thrives on collaboration, innovation, and continuous learning. We foster a supportive environment where every member is encouraged to share ideas and contribute to problem-solving. We value: + Passion for Technology: We are enthusiastic about emerging technologies and their potential to transform the automotive industry. + Agility: We work in an agile environment, adapting quickly to changes and continuously improving our processes. + Teamwork: We believe in the power of teamwork and collaboration, supporting each other to achieve common goals. + Growth: We prioritize personal and professional growth, offering opportunities for learning and development. + Inclusivity: We maintain an inclusive culture where diverse perspectives are valued, and everyone feels welcome. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology)