Moody's CorporationRemote
Senior Software Engineer
United States of America
Full-time
1 week ago
$116,000 - $169,000 USD
H1B Sponsor Likely
Key skills
SnowflakeApache AirflowPythonAWSPostgreSQLDynamoDBDatabricksETL processesBig data technologiesCuriosity for AIEffective communicationProblem-solving skillsAIArtificial IntelligenceETLSparkApache SparkKafkaApache KafkaAirflowdbtAmazon Web ServicesKinesisRisk ManagementCommunication
About this role
Moody's Corporation is a global leader in ratings and integrated risk assessment, seeking a Senior Software Engineer to help transform how the world sees risk. The role involves designing, developing, and maintaining scalable data solutions and pipelines for their content delivery platform, while collaborating with technical teams and business stakeholders to deliver effective solutions.
Responsibilities:
- Design, develop, and maintain scalable data solutions for Moody’s content delivery platform
- Architect, develop, and maintain data pipelines and cloud-native solutions for content delivery
- Support continuous improvement of applications, infrastructure, and process controls
- Provide hands-on development and operational support for database deployments across environments
- Collaborate with technical teams and business stakeholders to understand requirements and deliver effective solutions
- Manage individual tasks and time efficiently, ensuring timely delivery of assigned work
- Lead and educate others through code reviews, workshops, and documentation
Requirements:
- Expertise in designing, developing, and maintaining scalable data pipelines using Snowflake, Apache Airflow, dbt (Structured Query Language), and Python with Amazon Web Services
- Strong experience in data integration and Extract, Transform, Load (ETL) processes across diverse data sources and formats
- Proficiency in database engineering, especially with PostgreSQL, DynamoDB, Snowflake, and Databricks
- Ability to lead code reviews, workshops, and documentation to educate and support team members
- Effective communication and problem-solving skills, with the ability to collaborate across technical and non-technical teams
- Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
- Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use
- Bachelor's degree or equivalent experience required
- Experience with AWS database technologies, data governance principles, object-oriented programming, and big data technologies such as Apache Spark, Apache Kafka, and AWS Kinesis
- Master's degree