> Markdown version of [/jobs/ext/1483287-big-data-engineer-sr](https://www.wearedevelopers.com/jobs/ext/1483287-big-data-engineer-sr). 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). --- # Big Data Engineer - Sr - **Company:** Dexian DISYS - **Location:** Plano, TX, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Batch Processing, Cloud Database, Information Engineering, Apache Hadoop, Python (Programming Language), Standard Sql, Workflow Management Systems, Apache Spark, Kubernetes, Apache Kafka, Data Pipelines - **Published:** July 29, 2026 - **Apply:** https://www.dice.com/job-detail/095ed469-db2f-48e6-a0fb-a34fcfe03ccd ## About the Role * Python with some Java or Java with Python * SQL * AWS * Kafka, Spark, * EMR/Hadoop, * Data Pipelines, Data Orchestration, Cloud Data Warehousing, Workflow Orchestration. * Agile ## Description * Large-scale enterprise migration initiative involving migration of existing data pipelines to a new platform while building new data features. * Resources will be split across two engineering pods-one focused on new feature development and the other on pipeline migration., * Design, build and maintain batch and real-time data pipelines * Develop new data features * Migrate existing pipelines * Work with Kafka event streaming * Spark batch processing * Orchestration frameworks * AWS cloud services * Collaborate in Agile teams * Participate in standups * Support enterprise-scale migration- data engineering initiatives. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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)