> Markdown version of [/jobs/ext/2569267-data-platform-engineer](https://www.wearedevelopers.com/jobs/ext/2569267-data-platform-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). --- # Data Platform Engineer - **Company:** Codeforce 360 - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Apache HTTP Server, Big Data, Information Engineering, Data Infrastructure, Distributed Systems, Recommender Systems, Standard Sql, Scala (Programming Language), SQL Databases, Data Processing, Feature Engineering, Apache Spark, Data Lakehouse, Data Pipelines - **Published:** August 28, 2026 - **Apply:** https://www.dice.com/job-detail/7d57a468-91d5-48e5-b28c-7b2e20036882 ## About the Role About the Job- We are looking for an experienced Senior Data Platform Engineer to join one of our enterprise client engagements. The ideal candidate should have strong expertise in SQL, Spark, Scala, AI/ML, GenAI along with experience working in fast-paced enterprise environments., * The ideal candidate will have hands-on expertise in SQL, Spark, Scala, modern data platforms, and lakehouse technologies, with a focus on performance, reliability, and data quality., * 8+ years of experience in Data Engineering / Data Platform development * Strong SQL, Spark, and Scala * Large-scale data pipeline development and optimization * Production experience with data processing and distributed systems * Data modeling, analytics, and metric design * Experience with modern Data Lakehouse technologies * Apache Iceberg, Trino, Superset * Data quality, scalability, performance, and reliability * Complex data troubleshooting and root-cause analysis * Experience developing analytical data products * Exposure to AI/ML, GenAI, RAG, recommendation systems, or feature engineering is a plus ## Description * Seeking a Senior Data Platform Engineer with strong experience building scalable data products and high-volume data pipelines. ## 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) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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) - [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) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)