# Software Development Engineer

**Company**: Workday
**Location**: Pleasanton, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $190,100 USD - $285,100 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/USA-CA-Pleasanton/Senior-Software-Engineer-Distributed-Systems-_JR-0110618?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_393ff3c0-37e

## Description

We are looking for a hands-on Software Development Engineer to build and operate a scalable data-product platform that enables engineering and analytics teams to create and govern production data products and marts.

The platform spans the full data-product lifecycle, including dbt Core, Airflow, Trino, Apache Iceberg, Amazon S3 Tables, AWS Glue Catalog, access control, security, infrastructure as code, and CI/CD.

This role combines data platform engineering with hands-on data-product development. You will help build the underlying platform and its reusable capabilities, while also creating and maintaining production dbt projects, data models, tests, semantic definitions, and data marts.

**Responsibilities**

- Build and evolve platform capabilities across dbt, Airflow, Trino, Iceberg/S3 Tables, Glue Catalog, security, and infrastructure.

- Create and maintain production dbt projects end-to-end, including data 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, including partitioning, incremental processing, file layout, and query performance.

- Implement data quality, access control, and security using governed catalog and IAM patterns.

- Use Terraform and CI/CD to automate platform and data-product deployment.

- Contribute to the semantic and visualization layer for data-product consumption.

- Troubleshoot and operate the full stack, with a focus on reliability, scalability, and safe production operations.

- Build reusable platform patterns that make it easier for teams to develop and operate data products.

- Support and mentor team members on data platform and data-product development.

**Requirements**

- 8+ years of software engineering or data engineering experience.

- 5+ years of experience building or operating production data platforms, lakehouse platforms, or distributed data systems.

- Hands-on experience building and maintaining production dbt Core projects.

- Strong production SQL and data-modeling experience.

- Experience with Airflow or another production workflow orchestration platform.

- Experience with Trino or another distributed SQL/query engine.

- Experience with a lakehouse technology such as Apache Iceberg, Delta Lake, or Hudi.

- Experience with cloud object storage and metadata/catalog systems.

- Experience with Python, Java, Go, Scala, or another production programming language.

- Experience with infrastructure as code such as Terraform.

- Experience working with production data access controls and security.

**Nice to Have**

- Hands-on experience building or operating multi-team data/lakehouse platforms.

- Experience with reusable platform patterns across project structure, orchestration, catalog, CI/CD, and environments.

- Strong production dbt experience, including project architecture, macros, packages, tests, and large model graphs.

- Experience with data modeling, marts, data quality, and semantic/metrics definitions across multiple domains.

- Strong Trino experience, including query execution and performance tuning.

- Hands-on Apache Iceberg experience: partitioning, schema evolution, snapshots, and table maintenance.

- Experience with S3 Tables, Glue Catalog, or comparable lakehouse storage/catalog technologies.

- Strong understanding of query and data-layout optimization for high-volume workloads.

- Experience with Apache Superset, Metabase, or similar BI platforms.

- Experience with Terraform, IAM, least privilege, encryption, CI/CD, monitoring, and production operations.

**Salary** The annualized base salary ranges for the primary location and any additional locations are: Primary Location: USA.CA.Pleasanton Primary Location Base Pay Range: $190,100 USD - $285,100 USD Additional US Location(s) Base Pay Range: $160,100 USD - $285,100 USD

## Skills

### Required
- dbt Core
- Airflow
- Trino
- Apache Iceberg
- Amazon S3 Tables
- AWS Glue Catalog
- Terraform
- SQL
- Python
- Java
- Go
- Scala

### Nice to have
- Apache Superset
- Metabase
- Kafka
- Spark
- Flink

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Source: [Apply at workday.wd5.myworkdayjobs.com](https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/USA-CA-Pleasanton/Senior-Software-Engineer-Distributed-Systems-_JR-0110618?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)