> Markdown version of [/jobs/ext/3569157-data-engineer](https://www.wearedevelopers.com/jobs/ext/3569157-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). --- # Data Engineer - **Company:** Insight Global - **Location:** Bentonville, AR, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Databases, Data Cleansing, Data Files, Data Mining, Data Stores, Data Visualization, Relational Databases, Apache Hadoop, Hadoop Distributed File System, MapReduce, Apache Hive, Python (Programming Language), Power BI, Cloud Services, Standard Sql, SQL Databases, Tableau (Software), Unstructured Data, Google Cloud, Apache Spark, Pyspark, Looker Analytics, Data Pipelines, Databricks - **Published:** October 3, 2026 - **Apply:** https://dejobs.org/x/x/25A1B25D84004DC6989D8CF9ECF532CF/job/ ## About the Role 5+ years of experience in Spark -Proficient in Scala/Python -Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets -Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce -Excellent exposure to Data Visualization tools such as Tableau, PowerBI, Looker -Experience with cloud services such as: Azure/AWS Cloud, Databricks, Azure HD Insights, ADF or similar -Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. -Experience building and optimizing 'big data' data pipelines, architectures and data sets. -Strong analytic skills related to working with unstructured datasets. -Working knowledge of highly scalable 'big data' data stores. -Google Cloud Platform professional experience ## 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) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## 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) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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 Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [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)