Senior Software Engineer - Data Engineering
Our client is a global credit ratings and risk analytics firm. Ensure all your application information is up to date and in order before applying for this opportunity.
We unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Our client is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, were advancing AI to move from insight to actionenabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
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. Skills and Competencies
3+ years of experience within a data engineering or software development team
Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats
Hands-on experience with Apache Airflow, dbt, and Python
Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks
Experience collaborating with Agile teams, product owners, and cross-functional stakeholders, with strong communication skills for both technical and non-technical audiences
Experience applying AI-assisted development tools (e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency
Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements
Education
Bachelors degree or equivalent experience; Masters degree is a plus
Responsibilities
In this role, you will design, build, and support highly scalable data engineering solutions that power our client next-generation digital content platform.
Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS
Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades
Collaborate with our client technical teams and business partners throughout design and implementation phases
Engage cross-functional teams to understand data requirements and deliver scalable solutions
Educate and mentor others through code reviews, documentation, and workshops
About the Team
The Digital Content & Innovations Data Engineering team is a collaborative, forward-thinking group focused on building highly available, cloud-native data solutions that power our client digital content ecosystem. The team partners closely with multiple engineering and product teams to drive modernization, implement scalable architectures, and deliver innovative solutions that enable reliable, high-quality content experiences for users Our client is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for our client may be asked to disclose securities holdings pursuant to our Policy for Securities Trading and the requirements of the position. xehkeey Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
We unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Our client is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, were advancing AI to move from insight to actionenabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
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. Skills and Competencies
3+ years of experience within a data engineering or software development team
Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats
Hands-on experience with Apache Airflow, dbt, and Python
Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks
Experience collaborating with Agile teams, product owners, and cross-functional stakeholders, with strong communication skills for both technical and non-technical audiences
Experience applying AI-assisted development tools (e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency
Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements
Education
Bachelors degree or equivalent experience; Masters degree is a plus
Responsibilities
In this role, you will design, build, and support highly scalable data engineering solutions that power our client next-generation digital content platform.
Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS
Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades
Collaborate with our client technical teams and business partners throughout design and implementation phases
Engage cross-functional teams to understand data requirements and deliver scalable solutions
Educate and mentor others through code reviews, documentation, and workshops
About the Team
The Digital Content & Innovations Data Engineering team is a collaborative, forward-thinking group focused on building highly available, cloud-native data solutions that power our client digital content ecosystem. The team partners closely with multiple engineering and product teams to drive modernization, implement scalable architectures, and deliver innovative solutions that enable reliable, high-quality content experiences for users Our client is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for our client may be asked to disclose securities holdings pursuant to our Policy for Securities Trading and the requirements of the position. xehkeey Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.