Senior Software Engineer(Distributed Systems)

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Senior Software Engineer(Distributed Systems) in USA new

Workday
Full time
Email

USA
10/25/2026
Report

Pleasanton, CA

Responsibilities

Build and evolve data platform capabilities across dbt, Airflow, Trino, Iceberg/S3 Tables, Glue Catalog, security, and infrastructure.
Create and maintain production dbt projects, including models, transformations, tests, documentation, and semantic definitions.
Design and operate Airflow workflows with scheduling, dependencies, retries, backfills, and recovery.
Develop and optimize high-volume analytical workloads on Trino and Iceberg through partitioning, incremental processing, file layout, and query tuning.
Implement data quality, access control, security, and governed catalog patterns.
Use Terraform and CI/CD to automate platform and data-product deployment.
Contribute to semantic and visualization layers using tools such as Apache Superset or Metabase.
Troubleshoot and operate the full platform stack with emphasis on reliability, scalability, and safe production operations.
Build reusable platform patterns and mentor team members in data platform and data-product development.

Requirements

8+ years of software engineering or data engineering experience.
5+ years building or operating production data platforms, lakehouse platforms, or distributed data systems.
Hands-on experience building and maintaining production dbt Core projects, including architecture, macros, packages, tests, and large model graphs.
Strong production SQL, data modeling, data marts, data quality, and semantic or metrics definition experience.
Experience with Airflow or another production workflow orchestration platform.
Experience with Trino or another distributed SQL/query engine, including query execution and performance tuning.
Experience with Apache Iceberg, Delta Lake, Hudi, or a comparable lakehouse technology.
Experience with cloud object storage and metadata or catalog systems, including S3 Tables or Glue Catalog.
Experience with Python, Java, Go, Scala, or another production programming language.
Experience with infrastructure as code such as Terraform.
Experience with production data access controls, IAM, least privilege, encryption, CI/CD, monitoring, and production operations.
Experience operating reliable, multi-tenant, multi-team data platforms.
Experience with Apache Superset, Metabase, or similar BI platforms.
Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience; a related master’s degree is preferred.
Kafka, Spark, Flink, or similar distributed technology experience is a plus.

Benefits

Flexible work arrangement requiring at least 50% of each quarter in the office or field, with remote home-office roles able to attend important office moments.
The role may be eligible for the Workday Bonus Plan or a role-specific commission or bonus and annual refresh stock grants.
Workday provides comprehensive benefits information through its benefits resources.

Salary: $160k - $285k/yr

Workday

Workday builds an enterprise AI platform tailored for human resources, finance, and IT, delivering intelligent and integrated solutions for modern organizations. Our platform empowers businesses of all sizes to streamline operations, enhance insights, and improve decision-making with cutting-edge...

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