Associate Software Engineer

• Posted 11 days ago • Updated 11 days ago

Full Time

On-site

USD $70,825.00 - 120,425.00 per year

Fitment

Dice Job Match Score™

🎯 Assessing qualifications...

Job Details

Skills

Data Processing
Software Maintenance
Reliability Engineering
Optimization
Scalability
DevOps
Productivity
Conflict Resolution
Problem Solving
Agile
Scrum
Security Awareness
Service Design
Computer Science
Software Development
Backend Development
Cloud Computing
C#
.NET
Amazon Web Services
Amazon SQS
API
Amazon S3
Amazon RDS
Remote Desktop Services
Continuous Integration
Continuous Delivery
Terraform
SQL
NoSQL
Database
Scripting
Python
Vue.js
JavaScript Frameworks
Machine Learning (ML)
GitHub
Prompt Engineering
Artificial Intelligence
Automated Testing
Workflow
Finance
Life Insurance
Insurance
Leadership
Coaching
Mentorship
Apache Flex
Collaboration
Value Engineering
SAP BASIS

Summary

Responsibilities:

Backend & Data Development: Support designing and building backend services that help with data processing, publication, and delivery to downstream applications. Assist in developing APIs and cloud-native components using AWS services.
Application Maintenance & Modernization: Help maintain, refactor, and migrate existing applications and services to modern, scalable, AWS-based architectures.
System Reliability: Contribute to improving performance, resiliency, and delivery speed by assisting with monitoring, logging, and optimization following best practices for scalability and maintainability.
Collaboration: Work closely with senior engineers, product teams, data engineers, and DevOps/SRE partners to align backend and cloud solutions with business needs.
Engineering Practices: Write clean, maintainable, and testable code. Participate in code reviews and follow modern engineering standards.
Learning & Growth: Stay current on AWS cloud technologies and AI-assisted development tools. Demonstrate curiosity about applying AI and automation to improve engineering productivity and system efficiency.

Qualifications:

Problem-Solving: Ability to analyze technical challenges, propose solutions, and deliver reliable results with guidance.
Methodology: Familiarity with Agile/Scrum and modern software development practices.
Security Awareness: Basic understanding of secure service design, API security concepts, and AWS security best practices.
Education: Bachelor's degree in computer science or related field (or equivalent practical experience).
Experience: 0-2 years of professional software development experience, with exposure to backend development and cloud-based systems.

Technical Skills:

Solid programming foundation in C#/.NET (preferred) or another backend language.
Experience building or consuming REST APIs; familiarity with event-driven patterns is a plus.
Hands-on exposure to AWS services such as Lambda, SQS, SNS, API Gateway, S3, and RDS. Basic understanding of serverless patterns is preferred.
Experience with CI/CD workflows and Infrastructure as Code tools (e.g., Terraform, CloudFormation) is a plus.
Familiarity with SQL/NoSQL databases and basic data workflows (plus).
Scripting experience with Python for automation, small data tasks, or AI experimentation (plus).
Frontend exposure with Vue.js or other modern JavaScript frameworks (plus).
AI/ML Exposure: Interest or basic experience with AI-assisted development tools (e.g., GitHub Copilot), prompt engineering, or integrating simple AI APIs. Understanding of how AI can support automation, testing, or data workflows is a strong plus

We're only considering candidates who are authorized to work permanently in the US.

Total Compensation Range:

$70,825 - $120,425

Inclusive of annual base salary and target incentive

Compensation and Benefits

At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:

Financial Health
- 100% 401k match up to 6% of salary
- Stock Ownership Potential
- Company provided life insurance - 1x salary + commission
Physical Health
- Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
- Additional medical Wellness Incentives - up to $300-$600 annual
- Company-provided long- and short-term disability insurance
Emotional Health
- Trust-Based Time Off
- 6-week Paid Sabbatical Program
- 6-Week Paid Family Caregiving Leave
- Competitive 8-24 Week Paid Parental Leave
- Adoption Assistance
- Leadership Coaching & Formal Mentorship Opportunities
- Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses
- Tuition Reimbursement
Social Health
- Charitable Matching Gifts program
- Dollars for Doers volunteer program
- Paid volunteering days
- 15+ Employee Resource & Affinity Groups

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

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: 90922487
Position Id: 23860723
Posted 11 days ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Databricks Data Engineer - Consultant

Arlington, Virginia

•

Today

Job Title: Consultant - Databricks Data Engineer Job Summary As a Databricks Data Engineer, you will design, build, and optimize enterprise-scale data engineering solutions using Databricks on AWS, Azure, or Google Cloud Platform (Google Cloud Platform). You'll help clients modernize data platforms using Lakehouse patterns, deliver reliable and performant pipelines, and translate technical design into measurable business outcomes. You'll contribute to engineering standards, data governance, an

Full-time

USD 84,400.00 - 155,400.00 per year

Lead Machine Learning Engineer

Chicago, Illinois

•

Today

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and pe

Full-time

USD 179,400.00 - 204,700.00 per year

Sr. Manager, Software Engineering, Back End (Java, Python, AWS)

Chicago, Illinois

•

Today

Sr. Manager, Software Engineering, Back End (Java, Python, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging

Full-time

USD 209,000.00 - 238,500.00 per year

Director, Software Engineering (Card Payments Tenant Experience)

Chicago, Illinois

•

Today

Director, Software Engineering (Card Payments Tenant Experience) As a Capital One Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems and Machine learning models using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.js, Java, GO, AngularJS, React, Pyth

Full-time

USD 244,700.00 - 279,200.00 per year

Search all similar jobs