Job Description We are seeking a Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments to AWS.
This person should be technically strong in Python and SQL, have hands-on AWS migration experience, and be comfortable partnering directly with business stakeholders. Experience with Machine Learning and MLOps is a strong plus, particularly supporting models through integration and production environments. The scope of work will be contributing to Commercial Banking's Underwriting AI enablement/automation vision
Key Responsibilities
- Design, develop, and maintain data pipelines.
- Migrate existing data pipelines and workloads from on-premises infrastructure to AWS.
- Gather, integrate, transform, and prepare data from multiple sources.
- Use Python and SQL extensively for data development and manipulation.
- Support integration of data into existing enterprise platforms and applications.
- Partner with business and technical stakeholders to understand requirements and translate them into technical solutions.
- Support ML/MLOps integration into production environments where applicable.
- Work within an enterprise environment supporting business-critical applications and workflows.
- Communicate technical concepts clearly to both technical and non-technical stakeholders.
Must-Have Skills
- Strong Python development experience.
- Advanced SQL skills.
- 3+ years of Data Engineering experience
- Hands-on experience developing and migrating data pipelines.
- Proven experience migrating data/workloads from on-premises environments to AWS.
- Strong hands-on experience working within the AWS ecosystem.




- Experience integrating and transforming data from multiple sources.
- Strong communication and stakeholder-management skills.
- Ability to operate in a consultative capacity, working directly with the business.
- Experience working within a large enterprise environment. Skills and Requirements Must-Have Skills
- Strong Python development experience.
- Advanced SQL skills.
- 3+ years of Data Engineering experience
- Hands-on experience developing and migrating data pipelines.
- Proven experience migrating data/workloads from on-premises environments to AWS.
- Strong hands-on experience working within the AWS ecosystem.
- Experience integrating and transforming data from multiple sources.
- Robust communication and stakeholder-management skills.
- Ability to operate in a consultative capacity, working directly with the business.
Experience working within a large enterprise environment.
Banking / FS experience
Commercial Banking We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

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