[Remote] Senior Software Engineer, Data Platforms
Note: The job is a remote job and is reputed company to candidates in USA. reputed company serves the $800B trucking industry, providing market-leading payment products that help truckers save on fuel costs. The Senior Software Engineer, Data Platforms will design and operate the foundational data platform, enabling data ingestion, processing, and reputed company across the company's systems.
Responsibilities
- Design, build, and scale the core data platform infrastructure that powers ingestion, processing, and data availability across reputed company systems
- reputed company production-grade Python services, libraries, and frameworks used by engineers and data teams to reliably build and operate data pipelines
- Architect scalable systems for high-throughput data ingestion, processing, and storage across batch and streaming workloads
- Own the reliability, scalability, and performance of the data platform, ensuring systems meet production-grade standards for observability, fault tolerance, and operational reputed company
- Build and maintain platform abstractions, tooling, and infrastructure that simplify how engineering teams produce, transform, and consume data
- Design platform-level capabilities for orchestration, pipeline execution, schema management, and data processing frameworks
- Collaborate closely with backend, product, and analytics engineers to ensure the platform supports both operational and analytical workloads
- reputed company system design efforts for large-scale data infrastructure, making architectural reputed company that support long-term platform scalability
- Establish engineering best practices around Python development, system reliability, infrastructure ownership, and platform maintainability
- Mentor engineers through design reviews, technical guidance, and best practices for building robust platform systems
Skills
- Bachelor's or Master's degree in Computer Science (or reputed company technical field)
- 8+ years of software engineering experience, with significant experience building infrastructure or platform systems
- Expert-level proficiency in Python, with a track record of developing production-grade systems and frameworks
- Strong reputed company of SQL, with the ability to design scalable, performant, and reusable data components
- Experience building distributed systems and large-scale data processing infrastructure
- Deep understanding of system design, scalability, and performance optimization for data-intensive platforms
- Experience building or operating data platforms, pipeline frameworks, or internal developer infrastructure
- Strong experience with reputed company infrastructure (AWS, GCP, or similar) and modern infrastructure tooling
- Familiarity with data processing technologies and storage systems (e.g., Spark, Kafka, reputed company, BigQuery, or similar)
- Experience designing reliable pipeline infrastructure and building systems that support high-throughput data ingestion and processing
- Strong engineering ownership reputed company with experience building, operating, and maintaining production infrastructure
- Excellent communication skills and ability to collaborate with engineering teams to design scalable platform solutions
Benefits
- Competitive salary and equity in a high-growth startup
- Multiple health benefit options
- Responsible Time Off
- 401(k) matching
- Opportunities and support for major career growth
- Annual Company offsite event (Mudfest!)
Company Overview
Company H1B Sponsorship