Location: Remote (US-based) Duration: Up to 1-Year Contract (via Consultancy) Technologies: ETL, Snowflake, SQL, AWS Industry: Financial Services / Payments About the Role: We are seeking a skilled Data Engineer to support ongoing data infrastructure initiatives for a leading financial payments platform. This is a remote, US-based contract opportunity (up to one year) delivered through a consultancy, ideal for mid-level data engineers looking to grow their experience in a high-impact, regulated environment. The role will focus on building and optimizing data pipelines across a modern data stack with an emphasis on Snowflake and AWS. Key Responsibilities: • Design, develop, and maintain robust ETL/ELT pipelines to support data ingestion, transformation, and delivery. • Work with large-scale data sets in Snowflake and optimize performance and scalability of SQL-based queries and data models. • Collaborate with data analysts, engineers, and business stakeholders to ensure data solutions meet financial reporting and compliance requirements. • Integrate data from various sources (structured and unstructured) using AWS-native services and third-party tools. • Monitor, troubleshoot, and improve data workflows, ensuring data quality, consistency, and reliability across systems. • Contribute to documentation and best practices for scalable data engineering processes. Qualifications: • 4–6 years of hands-on experience in data engineering or a related field. • Proficient in developing ETL pipelines using modern tools and techniques. • Strong experience with Snowflake, including performance tuning and schema design. • Proficient in SQL with the ability to write complex queries and optimize them for performance. • Hands-on experience with AWS services (e.g., S3, Glue, Lambda, Redshift, etc.). • Understanding of data governance, privacy, and security in a financial or regulated environment. Preferred Qualifications: • Prior experience working in or with financial services or payments platforms. • Familiarity with CI/CD workflows, orchestration tools (e.g., Airflow), and version control (Git). • Experience working in a consulting or client-facing environment.