Sr. Data Engineer

Sr. Data Engineer

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True leaders are always learning. Moody’s is home to information architects, thinkers, builders, and passionate problem solvers, a collection of diverse viewpoints working together to bring out our best. Join us. Forward Together.

Moody’s (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. Moody’s combines international presence with local expertise and over a century of experience in financial markets. Learn more

At Moody’s, we’re taking action. We’re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We’re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at

Moody’s Analytics provides financial intelligence and analytical tools supporting our clients’ growth, efficiency and risk management objectives. The combination of our unparalleled expertise in risk, expansive information resources, and innovative application of technology, helps today’s business leaders confidently navigate an evolving marketplace.




Job Description:
Predictive Analytics Organization Unit builds products in the Quantitative Credit Risk Assessment space, helps Financial Institutions like Banks, Insurance and Asset Management companies make better decisions. You will be part of the development team working on building our Flagship EDFX product providing credit risk measures on over 400 million public and private global companies. You will be building responsive web applications, high performance API platform backed by huge volume of structured and unstructured data. You will have opportunity to work in an agile environment working on latest serverless technologies and solving business challenges.

Financial modeling is at the core of our Product offering. We are seeking a Data Engineer with strong experience in developing financial models and being able to deploy them in a high performance pipeline. The candidate will be part of a global development team working on building a world-class solution that consists of an API Platform targeted for internal and external customers, Next Generation web application and large scale data processes.


  • Build performant calculation engines in R
  • Refactor and optimize code from Research for production
  • Build calculation engines with Docker
  • Deploy containers into AWS with CI/CD processes
  • Collaborate with Product teams to understand the customer requirements, provide accurate estimates and adhere to the project deadline
  • Build Unit Tests Design, implement, test and maintain application components
  • Participate in all scrum team activities and work closely with peers to achieve continuous improvement
  • Participate in grooming/design forums to provide recommendations; incorporate security requirements into design; provide input to information/data flow and understand and comply with architectural standards in all phases
  • Participate in code reviews and ensure that all solutions are aligned to pre-defined architectural specifications; identify/troubleshoot application code-related issues
  • Identify and embrace new technologies to enhance the customer experience, improve the platform stability, scalability and availability
  • Collaborate with global teams Development, QA, DevOps, Program Management teams to successfully deliver projects


  • Bachelor’s Degree in Computer Science or relevant field
  • 5+ years of experience in R development
  • 5+ years of relevant Python development experience
  • Experience building and/or deploying financial models or calculators
  • Proficient in SQL and experience accessing data from SQL Server, Postgres
  • Knowledge of NoSQL Technologies like DynamoDB/MongoDB
  • Experience with AWS technologies like Lambda, S3
  • Familiarity with Containerization technologies like Docker/ECS/Fargate/Kubernetes
  • Familiarity with modern build pipelines, tools, CI/CD concepts.
  • Proficiency in Git, including the ability to evaluate and maintain the codebase during code reviews via GitHub Pull Requests

Must be fully vaccinated for COVID-19 (i.e., at least 2 weeks after last dose) and, if hired, present proof of vaccination on start date, as determined by Moody’s.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.

For Colorado-based roles only: the anticipated base salary range for this position is $90,800 to $131,750, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for annual performance incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Candidates for Moody’s Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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