Full Stack Software Engineer

Top 3 required:

Data Engineering and Processing in Databricks/ Hadoop using Pyspark/ SQL
Java (backend) + React/TypeScript (frontend), CI/ CD, testing and optimization.
Data Governance, security, and utilizing reusable frameworks
 

Position Responsibilities:
You will build innovative products that help businesses around the world unlock more value from their data. As a Senior Software Development Engineer within EDE, you will contribute to full-stack, data-intensive, analytics-driven applications that support sophisticated business experimentation and decision-making for some of the world’s largest organizations. You will:

Design, build, and maintain scalable data platforms, distributed systems, and enterprise integration solutions across both on-premises and cloud environments.
Develop and optimize data-intensive applications leveraging Databricks, Spark, and related platforms to efficiently process, transform, and serve data.
Build features that support enterprise data onboarding, exchange, discovery, and consumption capabilities.
Contribute to architecture and system design, collaborating with cross-functional teams to deliver scalable, high-quality solutions aligned with engineering best practices.
Write clean, maintainable, and efficient code, applying strong practices in testing, code reviews, and continuous improvement.
Identify and resolve performance bottlenecks across services, APIs, data-processing workloads, and user experience.
Collaborate with Product, Engineering, Data Governance, Security, and business stakeholders to understand requirements for your area of work.
Mentor and support team members while contributing to a collaborative, growth-oriented engineering culture.
Continuously learn and improve, staying current with technologies and driving enhancements in quality, scalability, and developer productivity.
 

Ideal Candidate Qualifications:

The ideal candidate is a collaborative, technically strong full-stack engineer who is passionate about building scalable, data-intensive platforms.
They are comfortable working across application, service, and data-processing layers and can contribute effectively in a fast-paced, agile engineering environment.

Ideal qualifications include:

Experience as a full-stack Software Engineer, with exposure to building platforms using modern technologies such as Java/Spring Boot, TypeScript, and React.
Experience building large-scale data platforms, distributed systems, and enterprise integration solutions across both on-premises and cloud environments, leveraging technologies such as Spark, Kafka, Flink, NiFi, Hadoop/Cloudera, Databricks, and modern cloud-native data services.
Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce.
Experience building reusable platforms that serve multiple products, teams, or business domains.
Foundational understanding of software engineering principles, including object-oriented programming, API design, and scalable system design, is preferred.
Interest in working with data-intensive applications, including improving performance, scalability, and reliability across services and data-processing layers.
Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams.
Curiosity, self-motivation, and a strong willingness to learn, with a growth mindset and interest in solving analytical, data-driven problems in an agile, fast-paced environment.
Bachelor’s or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience

here is some addl information:

This is enterprise app development, looking for full-stack engineer with experience in Java, rest APIs, some cloud native architecture, CI/CD, and preferably having some AWS or concept knowledge. As far as what the engineer is doing and how the role will work: building platforms – enterprise level – used across multiple teams. How to create a platform, having strong java and REST API knowledge is useful. Mostly a data specific platform, cloud native architecture, how cloud technology connects to the platform and how data can be loaded and returned from there. Using APIs and cloud technology will be useful.

This is a fairly new team, and they do have data engineers. Looking for more of a true software engineer, looking for REST API, java, and springboot knowledge as well as building applications and software engineering development. If they have data engineering principles or cloud fundamentals, it’s nice but not required, looking for a true software engineer

Looking for full stack engineer with data platform experience. The platform experience is not mandatory but nice to have. Someone with good backend or fullstack will be good.
 

Mostly going to be really strong java and rest API backgrounds, really strong CI/CD background, some system design, and front-end they don’t have a super need for, but if they have the knowledge it’s helpful.

Probably working with AWS and Databricks, so some understanding of that, along with Azure, would be good. Any cloud fundamentals are useful.