> Markdown version of [/jobs/ext/2038782-spark-data-engineer-with-apache-iceberg-trino](https://www.wearedevelopers.com/jobs/ext/2038782-spark-data-engineer-with-apache-iceberg-trino). 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). --- # Spark Data Engineer with Apache Iceberg / Trino - **Company:** Infosys - **Location:** Austin, TX, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Apache HTTP Server, Big Data, Code Review, Computer Programming, Data Warehousing, Database Design, Performance Tuning, Systems Development Life Cycle, Standard Sql, Tableau (Software), Strategies of Testing, Software Repository, Scripting, Apache Spark, Pyspark, Information Technology, Data Analytics, Data Pipelines - **Published:** August 12, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/spark-data-engineer-with-apache-iceberg-trino-austin-tx-usa-58913049 ## About the Role _ fixes * Develop user training, documentation, and support frameworks * Resolve production issues and propose preventive strategies * Maintain records of code, tests, and support activities Tasks * Experience with Spark/PySpark, Apache Iceberg and Trino * Complex SQL coding with performance tuning expertise * Python scripting and programming skills * Gen-AI skills (Claude Code) and client-context solution development * BI, Reporting and Data Warehousing experience * End-to-end reporting/dashboard design and data pipelines * Stakeholder collaboration to translate requirements into technical design * Tableau dashboard development and database design * Experience with large data volumes and leading offshore data engineers Key requirements * Medical/Dental/Vision/Life Insurance * Long-term/Short-term Disability * Health and Dependent Care Reimbursement Accounts * Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) * 401(k) plan and contributions * Paid holidays and Paid Time Off ## Description Experteer Overview As Technology Consultant 2, you will translate requirements into actionable development tasks and guide the technical team through design decisions. You'll contribute across the SDLC, from elicitation to deployment, while resolving production issues and documenting knowledge for future projects. You will collaborate with cross-functional teams to build robust data analytics, reporting, and data warehousing solutions. This role offers the opportunity to shape scalable BI and analytics platforms in a dynamic, AI-enabled environment. You will work with cutting-edge tools to deliver high-quality, value-driven software in a global IT services setting. Compensation / Benefits * Document assigned parts of business requirements per guidance * Facilitate design discussions and record design decisions * Code, integrate features, and maintain application stability * Conduct code reviews and maintain code repositories * Implement test strategies, analyze results, and coordinate fixes * Develop user training, documentation, and support frameworks * Resolve production issues and propose preventive strategies * Maintain records of code, tests, and support activities Tasks * Experience with Spark/PySpark, Apache Iceberg and Trino * Complex SQL coding with performance tuning expertise * Python scripting and programming skills * Gen-AI skills (Claude Code) and client-context solution development * BI, Reporting and Data Warehousing experience * End-to-end reporting/dashboard design and data pipelines * Stakeholder collaboration to translate requirements into technical design * Tableau dashboard development and database design * Experience with large data volumes and leading offshore data engineers Key requirements * Medical/Dental/Vision/Life Insurance * Long-term/Short-term Disability * Health and Dependent Care Reimbursement Accounts * Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) * 401(k) plan and contributions * Paid holidays and Paid Time Off ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java) - [Swapping a Data Warehouse at Runtime: Zero-Downtime Migration Without Changing a Single Client](https://www.wearedevelopers.com/videos/100311-swapping-a-data-warehouse-at-runtime-zero-downtime-migration-without-changing-a-single-client) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)