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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Rediantt LLC - **Location:** United States (Remote available) - **Salary:** $116,839.0 - $140,710.0 - **Contract:** Internship / Graduate position - **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Microsoft Azure, Bash Shell, Big Data, Extract Transform Load (ETL), Data Mining, Data Systems, Data Visualization, Relational Databases, Database Design, Apache Hadoop, Hadoop Distributed File System, Apache Hive, Python (Programming Language), Linked Data, Machine Learning, Microsoft SQL Server, Oracle (Applications), Performance Tuning, Scrum Methodology, Azure Data Lake, Shell Script, SQL Databases, Data Streaming, Talend, Apache Spark, Build Management, Vba Programming Language, Restful APIs, Looker Analytics, Data Pipelines - **Published:** June 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=60d3683730583b9c ## About the Role Do you have experience in Spark?, * Proven experience as a Data Engineer or in a similar role with a strong understanding of big data architectures and cloud platforms like AWS or Azure. * Hands-on expertise with Java programming for building scalable applications; proficiency in Python for scripting and automation tasks. * Extensive knowledge of ETL tools such as Informatica or Talend; experience designing data warehouses using SQL Server or Oracle. * Familiarity with Hadoop ecosystem components including Apache Hive, Spark, and Hadoop Distributed File System (HDFS). * Strong understanding of database design principles and modeling techniques; experience with linked data concepts is a plus. * Experience working within Agile methodologies to deliver iterative solutions efficiently. * Knowledge of RESTful API integration for connecting disparate systems; ability to perform model training for predictive analytics is desirable. * Excellent analysis skills with the ability to interpret complex datasets; proficiency in Bash shell scripting for system administration tasks. Join us if you're passionate about transforming raw data into powerful insights! We value innovation, collaboration, and continuous learning-empowering you to grow your skills while making a meaningful impact through cutting-edge data solutions. ## Description We are seeking a dynamic and innovative Data Engineer to join our team and drive the development of scalable, efficient data solutions. In this role, you will harness your expertise in big data technologies, cloud platforms, and data modeling to build robust data pipelines that empower insightful analysis and strategic decision-making. Your contributions will enable our organization to leverage complex datasets, optimize data workflows, and support advanced analytics initiatives. If you thrive in a fast-paced environment where your technical skills can make a tangible impact, this opportunity is for you!, * Design, develop, and maintain scalable data pipelines using ETL (Extract, Transform, Load) processes to ensure reliable data flow across systems. * Implement and manage cloud-based data storage solutions such as AWS, Azure Data Lake, and Hadoop ecosystems to support large-scale data processing. * Collaborate with cross-functional teams to gather requirements and translate them into efficient database designs utilizing Microsoft SQL Server, Oracle, and other relational databases. * Develop and optimize SQL queries for data extraction, analysis, and reporting; utilize Python, Bash scripting, Shell scripting, and VBA for automation tasks. * Build and deploy models for training machine learning algorithms; work with Looker and other visualization tools to create insightful dashboards. * Integrate linked data sources via RESTful APIs and ensure seamless connectivity between diverse systems. * Conduct performance tuning of big data frameworks such as Apache Hive, Spark, Hadoop, and Talend to maximize efficiency. * Support agile development practices by participating in sprint planning, daily stand-ups, and continuous improvement initiatives. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [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) - [Old tools, new tricks](https://www.wearedevelopers.com/videos/1916-old-tools-new-tricks) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [MCP doesn’t suck — your agent does](https://www.wearedevelopers.com/videos/100202-mcp-doesn-t-suck-your-agent-does) ## 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) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [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) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)