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Director - Data Engineer (100% Remote - Throughout US)

Company: Moody's Analytics
Location: Hoboken
Posted on: January 15, 2022

Job Description:


As a Database Engineer, you will be a core member of a cross-functional team responsible for developing and executing on a vision for how to grow the KYC/KYS business monumentally through new product innovation. We practice an agile, highly customer focused, and learning-based approach to product development that aims to bring new products to market in 9-12 months.

You will be responsible for building and maintaining high quality data pipelines that drive analytic solutions. These solutions will draw on Moody's Analytics unique and rich data sources to generate insights for innovative products that create a new standard in the KYC/KYS space. You bring not only a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows, but also a passion for translating those skills into business impact for our customers.

Specifically, You Will Have The Opportunity To
Design, develop, optimize, and maintain scalable data architecture and pipelines that adhere to ETL principles and business goals
Solve complex data problems to deliver insights that helps the organization's business to achieve their goals
Create data products for analytics and data scientist team members to improve their productivity
Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
Partner with business analysts and solutions architects to develop technical architectures for strategic projects and initiatives
Improve operational processes and documentation

7-10+ years of experience working in a fast-paced software development environment
Graduate degree in Computer Science, MIS, or Engineering viewed favorably
Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred)
Experience developing and maintaining data warehouses in big data solutions
Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)
Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Experience working on a collaborative product team passionate about Agile software processes, data-driven development, and experimentation
Excellent communication, listening, and influencing skills
Ability to work efficiently with a solid sense for setting priorities
Ability to guide own learning and contribute to domain knowledge building

LOB/Cost Center

Know Your Customer OU (KYC OU)

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.

Job Req ID



Moody's Analytics (MA)

Line of Business

Know Your Customer OU (KYC OU)




Alpharetta, Atlanta, Boca Raton, Boston, Charlotte, Chicago, Dallas, Hoboken, King of Prussia, Miami, New York, Newark, Omaha, San Francisco, South San Francisco, Tallahassee, Walnut Creek, Washington DC

Job Category

Engineering & Technology

Job Sub Category

Database Engineering

Experience Level

Experienced Hire

Working at Moody's

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. With over 11,000 employees in more than 40 countries, Moody's combines international presence with local expertise and over a century of experience in financial markets. Learn more at moodys.com .

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


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.

EEO Policy

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 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 .

Securities Trading Policy (STP)

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.

Regulatory Region


Primary Location

New York - 7 World Trade Center (26400)

Keywords: Moody's Analytics, Hoboken , Director - Data Engineer (100% Remote - Throughout US), Executive , Hoboken, New Jersey

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