Software Developer Sr

Dayforce

Location: United States
Workplace: Remote
Employment: Full Time
Salary: USD 95,100–169,800/yr

Posted 2mo ago

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Responsibilities

Design and develop production software in Python and C# that powers the data platform
Develop reusable platform libraries, frameworks, and SDKs used by other engineering teams
Design, build, and maintain REST APIs and backend services that power internal and customer-facing data products
Own software components from design through deployment, monitoring, and ongoing operational support
Build and operate production services with a focus on reliability, observability, performance, and scalability
Participate in architecture discussions and continuously improve the platform through automation and engineering best practices
Apply software engineering best practices including code reviews, automated testing, CI/CD, and clean architecture
Build scalable ingestion services, processing frameworks, and reusable data platform components
Develop reliable pipelines using Azure Data Lake Storage, Databricks, and SQL Warehouse to support analytics, reporting, machine learning, and customer-facing data products
Develop metadata-driven data processing frameworks that improve automation and reusability
Partner with Data Scientists to support AI agents
Optimize pipeline performance, storage, and compute costs across Azure and Databricks
Contribute to data governance initiatives including lineage, metadata management, documentation, and data quality standards
Support de-identification and privacy requirements for customer data across multiple regions
Collaborate with Product Management, Engineering, Analytics, and Data Science teams to deliver high-quality data solutions

Requirements

5+ years of professional software development experience, preferably building cloud-native backend systems or data platforms
Strong software development experience with C#/.NET and Python
Experience designing and building REST APIs and distributed backend services
Experience designing maintainable, testable software using modern software engineering principles
Experience building distributed backend services or microservices
Experience with automated testing, code reviews, CI/CD, and production operations
Experience designing public or internal APIs
Experience building cloud-native data platforms on Microsoft Azure
Experience designing, debugging, and operating distributed systems in production
Strong problem-solving and troubleshooting skills for distributed data processing systems
Strong SQL skills with experience designing high-performance analytical data models
Experience building pipelines using Databricks, Azure Data Factory, or similar technologies
Experience working with Azure Data Lake Storage and modern lakehouse architecture
Experience building solutions for enterprise SaaS or multi-tenant applications
Excellent communication and collaboration skills
Experience Supporting Developers to integrate the data platform components in end-user applications
Bachelor’s degree in computer science, Engineering, Mathematics, or equivalent practical experience

Preferred

Experience with containerized applications (Docker/Kubernetes)
Experience creating compilers for domain specific languages
Experience with event-driven architectures (Kafka, Event Hub, or Azure Service Bus)
Experience supporting globally distributed SaaS platforms
Experience with data privacy, masking, and de-identification techniques
Experience monitoring production data platforms using Azure Monitor, Log Analytics, or Databricks monitoring tools
Experience with Infrastructure as Code (Terraform, Bicep, or ARM)

Skills

Python
C#
.NET
Databricks
Apache Spark
Delta Lake
Azure Data Lake Storage
SQL Warehouse
Azure
Azure Data Factory
Docker
Kubernetes
Kafka
Event Hub
Azure Service Bus
Azure Monitor
Log Analytics
Terraform
Bicep
ARM

Responsibilities

Requirements

Preferred

Skills

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