Job details

Asst Dir – Software Engineer (Data Engineer)

The Know Your Customers (KYC) unit at Moody’s Analytics is dedicated to leveraging data-driven insights and cutting-edge technologies to drive the compliance and Anti-Money Laundering (AML) industry forward. We are currently seeking a Data Engineer to join our dynamic and motivated Data Strategy team. The ideal candidate will have a strong foundation in data engineering concepts and a passion for working with cutting-edge technologies while ensuring clean, usable data is democratized to the business.The Work:

Develop and maintain product-specific data pipelines to ensure the timely and accurate flow of data from various sources to our Databricks Lakehouse platform.
Collaborate with cross-functional stakeholders, including KYC/AML experts, to understand their data needs, deliver automation solutions, and build efficient data pipelines to support data access and analysis.
Gain a deep 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 AWS services to manage, store, and process data, ensuring optimal performance, security, and scalability while adhering to data protection standards.
Leverage workflow management tools, such as Prefect 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.

Bachelor’s degree in Computer Science, Engineering, or a related field.
Strong understanding of data engineering concepts, including data modeling, ETL processes, and data warehousing
Familiarity with the core technology stack, including Databricks Lakehouse (Delta Lake) or equivalent such as BigQuery/Snowflake, SQL/Python/Spark, AWS, Prefect/Airflow, dbt
Excellent problem-solving skills and the ability to work independently or as part of a team.
Strong communication skills, with the ability to effectively collaborate with stakeholders at various levels within the organization and communicate complex data concepts to non-technical audiences.
Eagerness to learn and adapt to new technologies.

Moody’s Analytics – Know Your Customer OU (KYC OU)

https://kyc.moodys.io/

At Moody’s Analytics Know Your Customer (KYC) / Know Your Supplier (KYS), we solve problems that matter. We are a cross-functional team of sales and marketing, technology and product professionals who are all passionate about preventing criminal infiltration of the world’s financial system and bringing transparency to global supply chains by detecting fraud, terrorism, human trafficking, and other criminal threats.

We combine the agility, passion, and dynamism of a startup with the strong positioning and stability of an established institution, providing our people with dynamic career paths and mobility options across the globe, all while having access to the entire Moody’s network. We empower our people and are committed to helping them reach their goals.

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.

Moody’s is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don’t meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.

Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.

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 moodys.com/diversity

For US-based roles only: the anticipated hiring base salary range for this position is $ [123,800] to $ [179,600], 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.