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Senior Backend developer with Data skills

Plano, TX, US • Posted 2 hours ago • Updated 2 hours ago

Full Time

On-site

Compensation information provided in the description

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Job Details

Skills

Data Skills
Microservices
Data Engineering
Scalability
Technical Drafting
Testing
Java
Node.js
Spring Framework
MongoDB
PostgreSQL
NoSQL
SQL
Database
Data Processing
Extract
Transform
Load
Apache Kafka
Streaming
RESTful
GraphQL
API
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Storage
DevOps
Docker
Kubernetes
Continuous Integration
Continuous Delivery
Git
Jenkins
Grafana
Distributed Computing
Performance Tuning
Monetization
Data Governance
Data Security
Machine Learning (ML)
Data Analysis
Python
Apache Spark
Databricks
Workflow
Soft Skills
Conflict Resolution
Problem Solving
Analytical Skill
Communication
Collaboration
FOCUS
Continuous Improvement
Computer Science

Summary

We are seeking a strong Backend Developer with solid experience in building scalable, high-performance systems and working with data-centric applications. The role will focus on developing backend services, APIs, and integrations for a Monetization and Data Platform that drives business insights, customer personalization, and revenue enablement.

What You'll Do:

Design, develop, and maintain backend microservices supporting data ingestion, processing, and monetization workflows.
Collaborate with data engineering and product teams to integrate data pipelines and business logic into backend systems.
Implement APIs and services that expose data insights and monetization metrics to internal and external consumers.
Optimize system performance, reliability, and scalability for high-volume data transactions.
Contribute to architecture discussions, technical design, and solution reviews.
Ensure adherence to best practices in coding, testing, CI/CD, and observability.
Work closely with cross-functional teams to translate business requirements into technical solutions.

What You Know:

Programming: Strong expertise in Java / Spring Boot (or Node.js, Python if applicable).
Frameworks: Spring WebFlux / Reactive programming experience preferred.
Databases: Experience with MongoDB, PostgreSQL, or other NoSQL/SQL databases.
Data Exposure: Hands-on with data processing, ETL integration, Kafka, or streaming data platforms.
APIs: RESTful and GraphQL API design and implementation.
Cloud Platforms: Familiarity with AWS / Google Cloud Platform / Azure and related data or storage services.
DevOps: Exposure to Docker, Kubernetes, CI/CD pipelines, Git, and Jenkins.
Monitoring & Logging: Proficiency with tools like Prometheus, Grafana, ELK Stack, etc.
Strong understanding of distributed system concepts, performance tuning, and asynchronous processing.

Good to Have:

Experience with data monetization, ad tech, or subscription platforms.
Knowledge of data governance, PII handling, and data security best practices.
Exposure to machine learning model integration or data analytics pipelines.
Familiarity with Python / Spark / Databricks for data workflows.

Soft Skills:

Strong problem-solving, analytical, and communication skills.
Ability to collaborate effectively with product, data, and business teams.
Ownership mindset with a focus on delivery quality and continuous improvement.

Education:

Bachelor's degree in computer science, Engineering, or a related field (Master's preferred).

Compensation Band:
$120 - $130K per annum

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.

Dice Id: RTX153458
Position Id: 2025-14422
Posted 2 hours ago

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