
Senior Data Engineer
Posted 14 hours ago

Posted 14 hours ago
This is a fully remote position, open to applicants in United States.
• Design, develop, and sustain cloud-native data pipelines and data lake architectures in Snowflake for ABF investment and portfolio analytics.
• Create and oversee scalable, automated ETL/ELT workflows to ingest, transform, and curate both structured and unstructured data.
• Facilitate the comprehensive migration from legacy systems to a contemporary data platform.
• Construct complex data mapping and transformation logic while ensuring alignment of data architecture.
• Execute data cleaning, de-duplication, reconciliation, validation, and ensure financial data integrity checks.
• Convert high-level business requirements into Epics and User Stories within Jira.
• Assist in project planning, timeline estimation, risk management, and cross-functional collaboration.
• Support integration testing, cutover planning, and readiness for go-live.
• Collaborate with business, finance, and operations teams to ensure stakeholder alignment and promote operational adoption.
• Over 5 years of expert-level SQL experience, including complex queries, CTEs, advanced window functions, conditional logic, intricate joins, and performance enhancement.
• More than 5 years of professional Python development experience, efficiently processing complex datasets and automating workflows using Pandas, Polars, or similar data libraries.
• Practical experience in designing and optimizing cloud-native data warehouses/data lakes, particularly Snowflake.
• Proven track record in building, maintaining, and optimizing scalable ETL/ELT workflows and data pipelines.
• Specialized knowledge in Asset-Based Finance (ABF) and mortgage servicing, covering settlements, remittances, cash consolidation, and servicing workflows.
• Demonstrated success in managing full lifecycle project delivery, from design and build through to testing and deployment.
• Outstanding communication and change management skills, with a strong ability to connect technical teams and business leadership.
• Opportunity to work with Fortune 500 companies and innovative market disruptors.
• Exposure to cutting-edge technologies related to artificial intelligence, machine learning, data, and cloud.
• Opportunities for learning, growth, and interaction with colleagues from diverse experiences and backgrounds globally.
• Energetic team of highly dynamic and talented individuals.
• Enjoyable, diverse, and hybrid work culture.
Railroad19
GFT Technologies
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