> Markdown version of [/jobs/ext/3551922-senior-software-engineer-maps-data-pipeline-in-united-states](https://www.wearedevelopers.com/jobs/ext/3551922-senior-software-engineer-maps-data-pipeline-in-united-states). 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). --- # Senior Software Engineer, Maps Data Pipeline in , United States - **Company:** Energy Jobline - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $129,000.0 - $238,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon S3, C++ (Programming Language), Cloud Computing, Cloud Storage, Computer Programming, Data Architecture, Data Flow Control, Apache Hadoop, MapReduce, Python (Programming Language), Operational Databases, Scrum Methodology, Apache Spark, Kubernetes, Lidar, Data Pipelines, Apache Beam - **Published:** October 2, 2026 - **Apply:** https://www.energyjobline.com/job/senior-software-engineer-maps-data-pipeline-united-states-31782705 ## About the Role 5+ years of experience in developing and maintaining high-performance production data pipelines, including deep understanding of cloud infrastructure and cloud storage services like AWS S3, Google Cloud Storage, and Azure Blob Storage. Solid coding proficiency and knowledge in Python and a compiled like C++ or Rust. Solid understanding of cloud job orchestration, monitoring, and instrumentation best-practices. Open-minded and collaborative team player with the willingness to help others. Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have Experience writing production software in Rust. Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks like Apache Beam/Apache Airflow/Google Dataflow. Familiarity with robotic sensor (LiDAR, camera) data. Good documentation and technical writing skills. Experience working in an Agile/Scrum environment. ## Description Collaborate closely with other teams including research scientists, ML and software engineers, and system engineers to understand use cases and deliver features that improve our overall data ecosystem. Bring your expertise to provide technical leadership and mentorship to other engineers, and contribute to org-wide data architecture decision-making. Assist in project roadmap planning, prioritization, and delivery.