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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer / Data Platform Engineer - **Company:** BCforward - **Location:** Charlotte, NC, United States - **Experience:** Experienced - **Salary:** $135,304.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Amazon S3, Apache HTTP Server, Microsoft Azure, Bash Shell, Big Data, Cloud Computing, Cloudera Impala, Data Infrastructure, Linux, Distributed Systems, Apache Hadoop, Hadoop Distributed File System, Apache HBase, Apache Hive, Python (Programming Language), NumPy, Scrum Methodology, Cloud Services, Cloudera, Scala (Programming Language), Shell Script, Systems Integration, Web Services, Apache Yarn, System Availability, Apache Spark, Jupyter, Fastapi, Pandas, Containerization, Pyspark, Scikit Learn, Kubernetes, Restful APIs, Spacy, Docker, Databricks - **Published:** September 23, 2026 - **Apply:** https://www.dice.com/job-detail/d161fd4a-270a-4e88-a234-ab477b53c535 ## About the Role We are seeking an experienced Software Engineer / Data Platform Engineer (Cloudera) to join our dynamic team. The ideal candidate will have strong experience in distributed computing ecosystems, cloud and containerized deployments, and Python-based automation, and a proven ability to build secure, scalable APIs and optimize platform performance in alignment with enterprise standards., * 3-5 years of experience designing, implementing, and maintaining distributed systems. * Deep expertise with Cloudera Hadoop ecosystem: HDFS, YARN, Spark, Impala, Ranger. * Knowledge of Apache Iceberg and object storage such as S3 or Ozone. * Strong Python development for automation and services using FastAPI, GUNICORN, or similar. * Proficiency with Python libraries: spaCy, NumPy, Pandas, Polars. * Strong knowledge of Docker, containers, and Kubernetes for deployment and orchestration. * Intermediate to advanced Linux/Unix skills, including bash and shell scripting. * Demonstrable troubleshooting and problem-solving skills, including error analysis and root-cause identification. * Experience with Jupyter environments and integrating ML libraries under enterprise security practices. * Expertise in Big Data technologies: Hive, HBase, Scala, PySpark, and distributed computing principles. * Knowledge of cloud services with preference for AWS, Azure, and Databricks. Preferred Skills: * Experience building and managing secure APIs at scale in containerized environments. * Background working in Agile or Scrum teams with strong documentation practices. ## Description * Design, implement, and maintain solutions across distributed computing platforms. * Develop and optimize Python-based automation and API services using modern frameworks. * Integrate tools and technologies to improve platform reliability, performance, and security. * Troubleshoot complex issues across data, application, and infrastructure layers. * Ensure compliance with enterprise security standards and governance practices. * Collaborate with senior technologists and cross-functional stakeholders to deliver initiatives on schedule. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Vectorize all the things! 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