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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer II - **Company:** ZETA - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Information Systems, Computer Programming, Databases, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Integrity, Data Security, Data Systems, Data Warehousing, Database Design, Python (Programming Language), Performance Tuning, Cloud Services, Standard Sql, SQL Databases, Unstructured Data, Google Cloud, Data Storage Technologies, Apache Spark, Database Performance, Git, Cloudformation, Containerization, Kubernetes, Information Technology, Apache Flink, Data Management, Presto, Terraform, Software Version Control, Data Pipelines, Docker, Programming Languages - **Published:** September 11, 2026 - **Apply:** https://www.thejobnetwork.com/job/f4812438-78d9-4247-b49a-8306503c3a61/data-engineer-ii ## About the Role * Expertise in data modeling, database design, and data warehousing. Proficient in SQL and programming languages such as Python, Java, or Scala. * Cloud-native architecture expertise (AWS, GCP, or Azure), including containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation)., * Bachelor's/Master's degree in engineering (computer science, information systems) with 3-5 years of experience in data engineering, BI engineering, and data warehouse development. * Excellent command on SQL and one or more programming languages, preferably Python or Java. * Knowledge of Flink, Airflow, Apache Spark, DBT (good to have), Athena / Presto * Experience working with Kubernetes. Equal Opportunity Zeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applicants from all backgrounds, cultures, and communities to apply and believe that a diverse workforce is key to our success ## Description Reinforcing our commitment to creating an inclusive and supportive workplace, we have been consistently recognized as a Great Place to Work. If you want to build cutting-edge banking tech that enables banks to serve millions reliably, securely, and at a population scale, Zeta is your playground.If you would like to learn more about how we have grown and evolved over the years, watch our journey here. You can also explore our website and follow us on LinkedIn, Instagram, YouTube, and X. About the Role As a Data Engineer II, you will play a crucial role in developing, optimizing, and managing several large data lakes and data warehouses, comprising data from multiple disparate sources.Responsibilities * Data Pipeline Operations * Design, build, and maintain robust and scalable data pipelines to ingest, transform, and deliver structured and unstructured data from multiple sources. * Ensure high-quality data by implementing monitoring, validation, and error-handling processes. * Platform Engineering & Optimization * Create and update data models to represent the structure of the data. * Design, implement, and maintain database systems. Optimize database performance and ensure data integrity. Troubleshoot and resolve database issues. * Build and manage data warehouses for storage and analysis of large datasets. * Collaborate on data modeling, schema design, and performance optimization for large-scale datasets. * Data Quality and Governance: Implement and enforce data quality standards. Contribute to data governance processes and policies. * Scripting and Programming: Develop and automate data processes through programming languages (e.g., Python, Java, SQL). Implement data validation scripts and error handling mechanisms. * Version Control: Use version control systems (e.g., Git) to manage codebase changes for data pipelines. * Monitoring and Optimization: Implement monitoring solutions to track the performance and health of data systems. Optimize data processes for efficiency and scalability. * Cloud Platforms: Work with cloud platforms (e.g., AWS, Azure, GCP) to deploy and manage data infrastructure. Utilize cloud-based services for data storage, processing, and analytics. * Security: Implement and adhere to data security best practices. Ensure compliance with data protection regulations. * Troubleshooting and Support: Provide support for data-related issues and participate in root cause analysis. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [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) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)