Job Title: Senior Data Engineer
Location: New York NY (Hybrid)
Job Type: Contract
Responsibilities
- Design build and maintain scalable data ingestion frameworks using AWS native services (e.g. Glue Lambda S3 Step Functions) and SnapLogic to data into the data lake.
- Architect and manage the enterprise data lake on Amazon S3 using Apache Iceberg including partitioning strategies schema evolution metadata optimization and lifecycle management.
- Develop robust data transformation pipelines (ELT/ETL) to standardize cleanse and enrich source system data for downstream analytics and operational use cases.
- Develop and maintain reporting-ready views and queries using Amazon Athena and AWS Glue metadata.
- Implement and monitor data quality frameworks including validation rules reconciliation checks and anomaly detection to ensure integrity and reliability of enterprise data asset
- Collaborate with Finance Technology and Operations stakeholders to translate business requirements into scalable data architecture and transformation logic.
- Establish data governance best practices including documentation lineage tracking access controls and change management processes.
- Monitor pipeline health and data quality investigate data issues and support recurring reporting cycles.
Qualifications required:
- Bachelors degree in Computer Science Engineering Information Systems or equivalent experience.
- 7 years of experience in data engineering analytics engineering or related roles.
- Strong SQL skills and experience building analytical datasets for reporting.
- Hands-on experience with AWS data platforms including S3 Athena Glue AWS Unified Catalog.
- Experience integrating data from SaaS or enterprise systems using ETL tools such as SnapLogic
- Experience supporting BI tools such as Amazon QuickSight Tableau or Power BI.
- Ability to work independently while collaborating effectively with technical and non-technical partner
Qualifications desired:
- Experience with payment systems networks and protocols (i.e. ISO2022 SWIFT NACHA etc.) is a plus.
- Experience working in a highly regulated development environment and understanding of advanced data security concepts.
Essential functions and responsibilities:
- Work with Architects Development teams Information Security Infrastructure and Operations to develop requirements for common services and work with the team to create and maintain detailed functional and technical specifications and user guides.
- Ensure Common Services acts like a product with regular updates and a focus on the customer.
- Support the operation of the common components and services that the team is responsible for.
- Ensure adherence to change management and risk policies.
- Continue to drive modern enterprise application development with a focus on the cloud.
Success factors/job competencies: The candidate must be detail-oriented while also understanding the broader enterprise environment and how data supports business decision-making.
This role requires a strong team player who can work effectively across organizations and communicate clearly with technical teams business partners and leadership. The ability to balance hands-on execution with collaboration and operational responsibility is critical to success.
Performance standards:
- Deliver tasks and projects accurately and on schedule.
- Maintain high standards of professionalism and accountability.
- Demonstrate effective teamwork and cross-functional collaboration.
- Adhere to and support Technology & Operations and client strategic goals.
- Communicate clearly and effectively with internal stakeholders and external partners as needed.
Job Title: Senior Data Engineer Location: New York NY (Hybrid) Job Type: Contract Responsibilities Design build and maintain scalable data ingestion frameworks using AWS native services (e.g. Glue Lambda S3 Step Functions) and SnapLogic to data into the data lake. Architect and manage the enter...
Job Title: Senior Data Engineer
Location: New York NY (Hybrid)
Job Type: Contract
Responsibilities
- Design build and maintain scalable data ingestion frameworks using AWS native services (e.g. Glue Lambda S3 Step Functions) and SnapLogic to data into the data lake.
- Architect and manage the enterprise data lake on Amazon S3 using Apache Iceberg including partitioning strategies schema evolution metadata optimization and lifecycle management.
- Develop robust data transformation pipelines (ELT/ETL) to standardize cleanse and enrich source system data for downstream analytics and operational use cases.
- Develop and maintain reporting-ready views and queries using Amazon Athena and AWS Glue metadata.
- Implement and monitor data quality frameworks including validation rules reconciliation checks and anomaly detection to ensure integrity and reliability of enterprise data asset
- Collaborate with Finance Technology and Operations stakeholders to translate business requirements into scalable data architecture and transformation logic.
- Establish data governance best practices including documentation lineage tracking access controls and change management processes.
- Monitor pipeline health and data quality investigate data issues and support recurring reporting cycles.
Qualifications required:
- Bachelors degree in Computer Science Engineering Information Systems or equivalent experience.
- 7 years of experience in data engineering analytics engineering or related roles.
- Strong SQL skills and experience building analytical datasets for reporting.
- Hands-on experience with AWS data platforms including S3 Athena Glue AWS Unified Catalog.
- Experience integrating data from SaaS or enterprise systems using ETL tools such as SnapLogic
- Experience supporting BI tools such as Amazon QuickSight Tableau or Power BI.
- Ability to work independently while collaborating effectively with technical and non-technical partner
Qualifications desired:
- Experience with payment systems networks and protocols (i.e. ISO2022 SWIFT NACHA etc.) is a plus.
- Experience working in a highly regulated development environment and understanding of advanced data security concepts.
Essential functions and responsibilities:
- Work with Architects Development teams Information Security Infrastructure and Operations to develop requirements for common services and work with the team to create and maintain detailed functional and technical specifications and user guides.
- Ensure Common Services acts like a product with regular updates and a focus on the customer.
- Support the operation of the common components and services that the team is responsible for.
- Ensure adherence to change management and risk policies.
- Continue to drive modern enterprise application development with a focus on the cloud.
Success factors/job competencies: The candidate must be detail-oriented while also understanding the broader enterprise environment and how data supports business decision-making.
This role requires a strong team player who can work effectively across organizations and communicate clearly with technical teams business partners and leadership. The ability to balance hands-on execution with collaboration and operational responsibility is critical to success.
Performance standards:
- Deliver tasks and projects accurately and on schedule.
- Maintain high standards of professionalism and accountability.
- Demonstrate effective teamwork and cross-functional collaboration.
- Adhere to and support Technology & Operations and client strategic goals.
- Communicate clearly and effectively with internal stakeholders and external partners as needed.
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