Data Infrastructure roles and hiring trends

113 technical roles across 4 companies; median time listed 197 days. Sources are the official company job boards; counts are open postings, not hires.

Open roles

Technique demand

Evidence

Anthropic — Machine Learning Infrastructure Engineer, Safeguards Research: "iciency in Python Experience building and operating data-intensive or distributed systems in production Experience building tooling or infrastructure that other engineers or researchers use as a depe" Anthropic — Pre-training Data Infrastructure Engineer: "software engineering skills with experience building high-throughput fault-tolerant distributed systems Hands-on experience with distributed computing frameworks, particularly Apache Spark Exce"

Anthropic — Staff Infrastructure Engineer, Cluster Infrastructure: "rtise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC pro" Anthropic — Staff+ Infrastructure Engineer, Cluster Infrastructure: "rtise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC pro"

Anthropic — Data Engineer: "ience with modern transformation and orchestration tooling on a cloud data warehouse Experience making messy data from many sources usable, including record matching, deduplication, and reconcil" Anthropic — Data Engineer, Billing & Payments: "with tools like dbt Experience with workflow orchestration tools like Airflow, and version control with GitHub Familiarity with billing concepts such as invoicing, payments, credits, refu"

Anthropic — Data Center Engineer, Reliability & Infrastructure Management – Compute Supply: "viders and chip vendors to drive design improvements and hold them to SLA-grade performance, with technical diligence on their architectures, reliability studies, rack power specifica" Anthropic — Machine Learning Infrastructure Engineer, Safeguards Research: "flows from experiments to reliable, production-grade jobs Improve the throughput, cost, and reliability of large-scale inference and scoring workloads Partner closely with researchers and en"

Anthropic — Data Engineer: "e hierarchies, or master data management Experience using LLMs inside data pipelines and evaluating their output Hands-on Salesforce experience, including working at large data volumes Experienc" Anthropic — Data Engineer, Billing & Payments: "similar role Experience with SQL and Python, and building multi-step data pipelines with tools like dbt Experience with workflow orchestration tools like Airflow, and version control with GitHu"

Company comparison

Method and limits

• Fetched from official Greenhouse/Ashby/Lever boards; descriptions drive technique detection.
• Technique detection is literal; a role can use a tool it does not name.
• Days open is today − first_published; very old postings may be evergreen requisitions.
• Compensation is omitted unless the posting states it.