Back End Engineer

Overview

On Site
Depends on Experience
Full Time
No Travel Required
Unable to Provide Sponsorship

Skills

API
Agile
Amazon Web Services
Cloud Computing
Continuous Integration
Conflict Resolution
Computer Science
Data Integration
Data Engineering
Data Warehouse
Apache Kafka
Git
GitHub
DevOps
Docker
Debugging
Machine Learning (ML)
Management
Database
Messaging
Documentation
Kubernetes
Data Science
Node.js
Microsoft Azure
PL/SQL
GitLab
Kanban
PostgreSQL
Redis
Relational Databases
Scrum
SQL Azure
Software Development
Version Control
RESTful
Python
Microservices
Snow Flake Schema
Continuous Delivery
Sprint
Technical Writing
Optimization
Authorization
Streaming
UPS
Accessibility

Job Details

We are seeking a Back End Engineer to design, develop, and operate critical backend systems, APIs, and data pipelines. The Engineer will work under the direction of the Data Engineering Manager across the full software development lifecycle to build reliable, scalable, and secure services. Responsible for integrating with core cloud (Azure) and data platforms (Snowflake, various databases) to support application and business needs.

 

Required Experience (5+ years):

•                     Hands-on experience with backend system development, cloud deployments, and database integration.

•                     Experience in designing, building, and managing RESTful APIs for data services, including API authentication, authorization, and security best practices.

•                     Experience in source control (Git, GitHub/GitLab) and CI/CD pipelines.

•                     Experience in server-side/backend programming, with strong coding, debugging, and optimization skills. Demonstrated experience building production Python-based or Node.js-based solutions is preferred.

•                     Experience in data warehouses (e.g., Snowflake), relational databases (e.g., Oracle, Sql Server, PostgreSQL), and key-value stores (e.g., Redis).

•                     Experience with event-driven architecture and messaging/streaming platforms (e.g., Confluent/Kafka, Azure Event Hub, Pub/Sub).

•                     Experience with microservice, monolithic, and event-driven architectural patterns.

•                     Experience with containerization (Docker, Kubernetes)

•                     Experience with Azure cloud platform.

•                     Experience working in Agile, Scrum, or Kanban environments, participating in sprints and stand-ups.

 

Required Abilities:

•                     Ability to utilize critical thinking and problem-solving skills in complex software ecosystems.

•                     Ability to create clear technical documentation and communicate complex ideas effectively to both technical and non-technical stakeholders.

•                     Ability to establish and maintain effective working relationships inside and outside the organization.

 

Required Education:

•                     Bachelor’s degree in data science, computer science, engineering or a related field

 

Preferred:

•                     Certification in Azure, AWS or other cloud platforms.

•                     Experience in Azure DevOps

•                     Experience in Azure AL/ML

 

Responsibilities:

  • Collaborates with business and product teams to design, develop, and maintain backend services, including APIs, data pipelines, and microservices.
  • Builds scalable, secure, and data-intensive server-side logic (e.g., Python, Node.js), optimizing for performance and resource utilization.
  • Integrates backend systems with on-premises databases (Oracle, SQL Server, PostgreSQL) and cloud-based platforms (Azure SQL, Azure Data Services, Snowflake).
  • Develops and maintains robust data pipelines to ensure reliable data movement, transformation, and accessibility.
  • Contributes to architecture discussions to define backend system designs and data integration patterns.
  • Proactively troubleshoots and resolves backend performance issues, database bottlenecks, and service outages.
  • Manages and tracks progress using tools within an Agile, Scrum, or Kanban frameworks.
  • Creates and maintains comprehensive documentation for deployment, maintenance, support, and operational processes.
  • Performs other related duties as assigned. 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.