{"id":4029304,"url":"https://alion.io/job/morningstar-associate-software-engineer-3","title":"Associate Software Engineer","company":{"id":12394,"name":"Morningstar","domain":"morningstar.com","url":"https://alion.io/company/morningstar","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":17,"ghost_share":0,"stale_share":0.412,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"IAM","optional":false},{"name":"Presto","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-11-10T18:04:14Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T18:04:14Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Morningstar’s Analytics builds the data and quantitative models behind products that investors rely on. Our analysts and researchers are strong in Python, SQL and finance. We’re looking for an engineer who brings complementary strengths in cloud infrastructure, automation and production systems. You’ll work side by side with them to turn research into reliable, scalable, customer-facing analytics.\nYou’ll start on our Risk Analytics suite, supporting and improving the production pipelines that compute risk metrics for our clients. You’ll join the team’s on-call rotation, which is the fastest way to learn how large-scale financial analytics run in production. Over time, you’ll take on more design and build work.\nResponsibilities:\nBuild and maintain cloud infrastructure on AWS using infrastructure as code (e.g., Terraform)\nMonitor, troubleshoot and improve production data pipelines, and take part in an on-call rotation\nPartner with analysts and researchers to productionize their models and calculations\nDevelop CI/CD pipelines, automated tests and deployment tooling \nImprove observability, data quality checks and documentation across our systems\nHands-on exposure to AWS (e.g., S3, Lambda, ECS, IAM, Step Functions) through work, internships or projects \nExperience with infrastructure as code, ideally Terraform \nProficiency in Python and SQL, with good engineering habits: version control, testing, code review and writing maintainable code \nFamiliarity with CI/CD practices and tooling \nStrong communication and collaboration skills. You’ll work daily with analysts, so explaining technical ideas clearly and listening well are essential. \nA real interest in quantitative finance and in how analytics drive investment decisions \nBachelor’s degree in computer science, engineering, mathematics or a related field, or equivalent experience\nQualifications:\nExperience with modern data platforms (e.g., Spark, Presto/Trino/Athena, data lakes or lakehouses) \nComfort with quantitative work: descriptive statistics, plus basic knowledge of linear algebra and calculus as applied to things like returns, volatility, correlation and regression \nFinance coursework or knowledge of markets, investment types, risk measures or performance attribution \nExperience with containers (Docker) or monitoring and alerting tools \nCompensation and Benefits\nAt 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:\nFinancial Health\n100% 401k match up to 6% of salary\n\nStock Ownership Potential\n\nCompany provided life insurance - 1x salary + commission\n\nPhysical Health\nComprehensive 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\n\nAdditional medical Wellness Incentives - up to $300-$600 annual\n\nCompany-provided long- and short-term disability insurance\n\nEmotional Health\nTrust-Based Time Off\n\n6-week Paid Sabbatical Program\n\n6-Week Paid Family Caregiving Leave\n\nCompetitive 8-24 Week Paid Parental Leave\n\nAdoption Assistance\n\nLeadership Coaching & Formal Mentorship Opportunities\n\nAnnual Flex Stipend - $1000 annually to cover personal education & well-being expenses\n\nTuition Reimbursement\n\nSocial Health\nCharitable Matching Gifts program\n\nDollars for Doers volunteer program\n\nPaid volunteering days\n\n15+ Employee Resource & Affinity Groups\n\nTotal Cash Compensation Range\n$72,950.00-107,000.00Inclusive of annual base salary and target incentive\nMorningstar'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.\n001_MstarInc Morningstar Inc. 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