Senior Engineer – Data Systems & Platform
Atlasxhm · United States of America
About this role
**Atlas HXM — Senior Engineer (Data Systems & Platform)** Atlas HXM is the global workforce platform built on compliance—helping companies determine how to engage each member of their workforce and execute with accountability through Employer of Record (EOR), Agent of Record (AOR), payroll, and compliance capabilities. The future of work is borderless, and so are we. Our team is located globally, and we’re committed to diversity, belonging, and positive impact through our ESG initiative. --- ## About the Role We’re looking for a **Senior Engineer** who treats data as a core software engineering discipline. In this role, you won’t just connect third-party tools—you’ll **own, design, and build** the underlying **data systems, pipelines, and internal platforms** that power production services and our application backend. You care about **clean code, performance, cost efficiency, automated testing, and developer experience**—and you know when a simple, well-designed solution is better than an over-engineered distributed system. --- ## What You’ll Do - Design, build, and maintain **data processing pipelines** using modern software engineering practices. - Collaborate with product and backend engineers to design **operational database schemas**, **analytical models**, and **storage specs** optimized for read/write patterns. - Write **clean, modular, well-tested code** (SQL, Python, TypeScript or similar). - Audit slow queries, optimize storage formats (e.g., **Parquet, Iceberg**), tune database indexes, and keep compute/storage costs lean. - Enforce **CI/CD** and **version control** across data systems. - Set up robust **automated data testing, alerting, and monitoring** to catch anomalies and data quality regressions before they impact production. --- ## What We’re Looking For - **5+ years** of professional experience building software in production. - Deep understanding of **relational database internals** (e.g., Azure SQL), including indexing strategies and query execution plans; familiarity with column-store formats or distributed storage. - Familiarity with **serverless streaming ingestion** platforms such as **Cloudflare Pipelines** (streams, SQL transforms, and Iceberg/Parquet sinks to R2).
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