1 день назад
Principal Software Development Engineer (Data Engineering)
182 400 - 273 600$
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Описание вакансии
Текст:
TL;DR
Principal Software Development Engineer (Data Engineering) (AI/ML): Building and serving governed data foundations for Workday’s machine learning and agentic initiatives with an accent on distributed systems, data ingestion, and scalable cloud infrastructure. Focus on designing production services, solving data discoverability and performance challenges, and operating reliable systems with Spark, Kafka, AWS, Kubernetes, Terraform, and Iceberg.
Location: Atlanta, Georgia, United States; hybrid work with at least 50% of each quarter spent in the office or in the field
Annual base salary: $182,400–$273,600 USD for the primary Atlanta location; additional U.S. locations may offer $173,300–$309,600 USD.
Company
is a Fortune 500 company and AI platform for managing people, money, and agents.
What you will do
- Build data ingestion, discoverability, governance, derivation, and serving capabilities.
- Support classic machine learning and agentic initiatives across ’s product portfolio.
- Design and deliver scalable data services and service endpoints for production use.
- Deploy and operate cloud-based services using AWS, GCP, Docker, Kubernetes, Terraform, and continuous integration.
- Monitor, troubleshoot, and improve production services, including on-call and production triage.
Requirements
- Bachelor’s or master’s degree in computer science, computer engineering, or equivalent experience.
- 10+ years of experience in software engineering, distributed systems, or a related field, including 6+ years in data engineering or a related area.
- 6+ years of proficiency in at least two of Java, Scala, and Python.
- Experience with cloud infrastructure and managed services, including AWS or GCP.
- Experience with at least one of Apache Spark, Apache Iceberg, Apache Avro, Apache Kafka, or Apache Flink.
- Knowledge of testing, performance, security, availability, deployment, operations, and production ownership.
Nice to have
- Experience with Grafana, Prometheus, Kibana, Hive, or similar logging, monitoring, and metrics technologies.
- Experience with operating system concepts, concurrency, networking, memory, storage, and process management.
Culture & Benefits
- Collaborative environment focused on integrity, empathy, continuous learning, and shared ownership.
- Flexible work approach combining office, field, and remote work according to team and business needs.
- Eligibility for the Bonus Plan or role-specific bonus and annual refresh stock grants.
- Reasonable accommodations are available during the hiring process and employment.
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