Data Platform Software Engineer - Cloud & AI

Epsilon; Westminster (CO); On-site; USD 74,000 - 137,000; Full time

Benefits offered by this job

Flexible time off

Parental leave

401(k)

Tuition assistance

Commuter benefits

Professional development

Job summary

Epsilon, a global leader in data and identity, is seeking an experienced Software Engineer to join our Development Team in the Data Practice. You will work on high-volume production applications using Java, C++, Python, SQL, and AWS services, collaborating across teams and with clients.

You will participate in design, testing, deployment, and continuous improvement while adhering to coding standards and best practices.

Qualifications

• B.S. in Computer Science, Computer Engineering, or a similarly related field.
• Dependable with the ability to learn quickly, to work well individually and/or part of a team.
• Excellent written and verbal communication skills.
• Professional exposure to web services, APIs, and data integration concepts.
• Experience with Git, Jira and modern development tools.
• 1-3 years of job related experience and/or directly related college coursework in most if not all of the following areas:
• • Application programming experience using Java, .NET, UNIX scripting, C++/C#, Python, JavaScript or SQL.
• • Familiarity with relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL.
• • Familiarity with prompt engineering concepts and effective AI collaboration techniques.
• • Exposure to AWS cloud services and cloud-native application concepts.
• • Familiarity with cloud deployment, monitoring and CI/CD practices.
• • Interest in learning AWS services such as EC2, ECS, Lambda, RDS, S3 or related technologies.
• • Familiarity with multi-threaded parallel system application components.
• • Experience with build and test automation tools and practice.
• • Exposure to building metadata driven front-end application.
• • Knowledge of object-oriented programming concepts and software design principles.

Responsibilities

• Interacting with the project manager and client representatives to clarify business rules as outlined in the business requirements document.
• Participates in the development, testing and maintenance of software applications under the guidance of senior engineers to implement robust high volume production applications using, Java, C++, Perl, SQL, UNIX, and various ETL tools.
• Assists in the creation of technical specifications, design documentation, and process flows.
• Adhering to production standards in all work products and participating in the refinement of those standards to improve quality and productivity
• Documenting all work and facilitating transfer of ongoing operational responsibility to the production staff.
• Follows established coding standards, development processes, and best practices while contributing reusable code components where appropriate.
• Participates in release retrospectives and continuous improvement activities.
• Participates in technical design discussions and code reviews and incorporates feedback.
• Collaborates with senior engineers, business analysts, and project team members to understand requirements.
• Writes clean, maintainable, and well-documented code. Develops tests, debugs, troubleshoots and resolves software defects to support software solutions.
• Learns and applies architectural, security, and development best practices.
• Effectively manages assigned work items and priorities using Jira.
• Demonstrates a willingness to learn new technologies and development practices.

Skills

Java

C++

C#

.NET

Python

JavaScript

SQL

UNIX scripting

Git

Jira

AWS

Docker

Education

Bachelor's degree in Computer Science

Tools

Git

Jira

AWS

Job description

Epsilon, a global leader in data and identity, is seeking an experienced Software Engineer to join our Development Team in the Data Practice. You will work on high-volume production applications using Java, C++, Python, SQL, and AWS services, collaborating across teams and with clients.

You will participate in design, testing, deployment, and continuous improvement while adhering to coding standards and best practices.