Experience Level:Experienced Hire

Categories:

Engineering & Technology

Location(s):

Remote - United States, US
Remote - United States, US
Remote - United States, US
7 World Trade Center, 250 Greenwich Street, New York, New York, 10007, US
7575 Gateway Blvd., Suite 300, Newark, California, 94560, US
Remote - United States, US
Remote - United States, 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.

The Compliance & 3rd-Party Risk unit at Moody’s leverages data-driven insights and cutting-edge technologies to help businesses deliver prudent risk management in the KYC, Supply Chain, and Trade Credit space. We are currently seeking a Data Engineer to join our dynamic and motivated Data & Analytics team. The ideal candidate will have a strong foundation in data engineering concepts such as pipelines, orchestration and streaming; as well as a passion for working with cutting-edge technologies to ensure clean, quality, and usable data is democratized to the business.

In this role, you will be highly involved working on creating foundational data models and data products within our data warehouse which supports various business and product reporting needs. In your day-to-day you will be working in a squad consisting of data engineers, analysts, software engineers, and product managers.

The Work:

Develop and maintain product-specific data pipelines to ensure the timely and accurate flow of data from various sources to our Databricks platform.
With the guidance of technical peers, learn to work with business and other cross-functional team members to identify, integrate, and distribute data data from sources to destinations.
Work on project squads adhering to project management best practices and participating in scrum ceremonies
Gain an understanding of data usage patterns and requirements within the organization to design and implement appropriate data models in the data warehouse, ensuring compliance with industry regulations.
Utilize Databricks and AWS/GCP services to manage, store, and process data, ensuring optimal performance, security, and scalability while adhering to data protection standards.
Leverage orchestration tools, such as Databricks Workflows or Airflow, to orchestrate and monitor data pipelines, ensuring seamless integration, data quality, and compliance with regulatory requirements.
Implement data transformation and validation processes using dbt and SQL to ensure data accuracy, consistency, and regulatory compliance across the organization.
Continuously monitor, troubleshoot, and optimize data pipelines to ensure data reliability, performance, and adherence to best practices and industry regulations
Stay current with industry trends, emerging technologies, and regulatory changes to ensure the company remains at the forefront of data engineering best practices in the compliance and AML space.

Qualifications

0-2+ years of experience in data, or backend engineering roles
Bachelor’s degree in Computer Science, Engineering, or a related field.
Some understanding of data engineering concepts such as orchestration & pipelining, data modeling, streaming and warehousing
Excellent problem-solving skills and the ability to work independently or as part of a team.
Eagerness to learn new technologies and adapt to industry trends and changes

For US-based roles only: the anticipated hiring base salary range for this position is $106,600.00 - $154,600.00, 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.