Job Description

Experience Level: Experienced Hire

Categories:

  • Engineering & Technology

Location(s):

  • 1414 S Tryon Street, 7th Floor, The Railyard Floors 5-8, Charlotte, North Carolina, 28203, US

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. 

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. 

About the Department:

Technology Services Group - Digital Workplace Services - Endpoint Engineering

About the Role:

We are seeking a motivated and detail-oriented Associate Data Engineer to join our Digital Workplace Services Endpoint Engineering team. The ideal candidate will have foundational knowledge in SQL, Python, and Power BI, with a strong interest in data modeling, processing, and analysis. You will support the team in architecting and deploying data models and processes, ensuring data quality and accuracy, and interfacing with cross-functional teams.

Key Responsibilities:

- Assist in architecting, implementing, and deploying data models and processes in production environments.

- Perform data analysis to generate business insights.

- Interface with Engineers, Product Managers, and Product Analysts to gather requirements and provide support.

- Help manage Data Warehouse plans and process large datasets with strong data modeling skills.

- Translate data requirements into data pipeline development with guidance from senior team members.

- Gain proficiency in SQL, Data Model Design, ETL/ELT, and data analysis.

- Prepare data and create data models for use in Power BI under supervision.

- Work with varied data infrastructures including relational databases, data lakes, Spark, and column stores.

- Understand Data Engineering tools, frameworks, and standards.

- Adopt and apply Infrastructure as Code (IaC) practices.

-Design, develop and maintain pipelines using Azure tools such as Synapse, Azure Machine Learning, ADF, and Microsoft Fabric.

- Ensure data accuracy and quality while querying from relational databases, data lakes, and data warehouses with oversight.

- Apply basic knowledge of Python libraries (Numpy, Pandas) for data processing and visualization.

- Utilize Agile methodologies (Jira/Confluence) under supervision.

- Use Git/Azure DevOps for CI/CD activities- Assist in creating and maintaining technical and process documentation.

- Experience working with Generative AI tools (OpenAI, Llama2).

- Develop strong troubleshooting, analytical, and problem-solving skills.

Behavioral / Professional Skills:

- Be curious and eager to learn modern technologies.

- Demonstrate tech-savviness with an ability to quickly implement and utilize new tools.

- Show fearlessness by not shying away from big ideas.

- Exhibit digital dexterity to utilize digital workplace technologies effectively.

- Take a pragmatic and detail-oriented approach to work.

- Influence others to gain agreement and support for ideas and initiatives.

- Have a business-results orientation, understanding business needs, and anticipating, identifying, and meeting end-user needs.

Qualifications:

- Bachelor's or master's degree in related field.

- Advanced proficiency in SQL.

-1+ year experience working with Python and Power BI.

- Experience with the Azure cloud platform; Azure certification is a plus.

- Intermediate knowledge of scripting with PowerShell or Bash.

- Knowledge of programming languages are a plus.

- Basic understanding of Azure Synapse Analytics and Azure Data Factory (ADF) / Microsoft Fabric

- Experience working in an agile environment.

For US-based roles only: the anticipated hiring base salary range for this position is $78,000 - $113,100, 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 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.

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 accommodations@moodys.com. 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. Click here to view our Notice to New York City Applicants.
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.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.

Application Instructions

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!

Apply Online