Note: The job is a remote job and is open to candidates in USA. New American Funding is seeking an experienced Sr. Data Engineer to design, build, and enhance modern, scalable, and reliable data platforms. The role focuses on cloud data engineering, enterprise data warehouses, Snowflake capabilities, data quality, automation, and collaboration with cross-functional teams to deliver trusted data solutions.
Responsibilities
- Design, develop, and maintain scalable, reliable, and high-performance cloud-native data pipelines
- Develop and optimize enterprise data warehouse architectures, data models, and reusable data engineering frameworks
- Design and implement dimensional or normalized data models and certified datasets that provide trusted, governed data for analytics, reporting, AI, and operational workloads
- Build metadata-driven and configuration-driven ETL/ELT frameworks that improve development efficiency, consistency, maintainability, and scalability
- Implement and enhance Data Quality, Data Observability, monitoring, lineage, and automated alerting capabilities across data pipelines
- Optimize data pipelines for performance, scalability, reliability, and cost efficiency
- Establish and follow CI/CD practices, including source control, automated testing, code reviews, and deployment automation
- Partner with Data Scientists, Analysts, Product Owners, and business stakeholders to translate requirements into scalable data solutions
- Troubleshoot complex production issues, perform root cause analysis, and implement long-term solutions to improve platform reliability
- Evaluate and leverage emerging Snowflake capabilities such as Pipeline Builder, Openflow, Dynamic Tables, Snowpark, Cortex, and other platform innovations to continuously improve the data ecosystem
- Promote engineering best practices through documentation, knowledge sharing, and mentoring of junior engineers
Skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
- 7+ years of experience designing and developing enterprise ETL/ELT solutions and cloud data warehouse platforms
- Extensive hands-on experience with Snowflake
- Strong proficiency in SQL and Python
- Strong experience designing dimensional and normalized data models and building certified datasets for enterprise consumption
- Experience designing, developing, and optimizing large-scale, high-volume data pipelines
- Hands-on experience implementing Data Quality frameworks, validation processes, reconciliation, and monitoring
- Experience with Data Observability concepts, including pipeline monitoring, alerting, lineage, and proactive issue detection
- Experience with CI/CD workflows, Git-based development, automated testing, and deployment processes
- Experience integrating RESTful APIs and processing semi-structured data formats such as JSON, XML, and Parquet
- Familiarity with NoSQL databases such as Cosmos DB or similar technologies
- Ability to write clean, maintainable, reusable, and well-documented code
- Strong analytical, troubleshooting, and problem-solving skills
- Excellent communication and collaboration skills with the ability to work independently and effectively within a team
- Must be able to verify identity and employment eligibility to work in the U.S
- Must be able to lift up to ten pounds
- Primary functions require sufficient physical ability and mobility to work in an office setting; to stand or sit for prolonged periods of time; to occasionally stoop, bend, kneel, crouch, reach, and twist; to lift, carry, push, and/or pull light to moderate amounts of weight; to operate office equipment requiring repetitive hand movement and fine coordination including use of a keyboard; and to verbally communicate to exchange information
- VISION: See in the normal visual range with or without correction
- HEARING: Hear in the normal audio range with or without correction
- Experience with modern Snowflake capabilities including Snowpark, Dynamic Tables, Streams, Tasks, Openflow, Pipeline Builder, Cortex, Iceberg Tables, or similar technologies
- Experience building reusable metadata-driven and configuration-driven data engineering frameworks or accelerators
- Experience with enterprise Data Governance, Data Catalog, Data Lineage, or Master Data Management solutions
- Experience with Azure cloud services and cloud-native data architectures
- Experience in the mortgage or financial services industry
- Snowflake certifications preferred
Benefits
- Health, dental & vision
- Retirement with company contribution
- Parental leave
- Mental health & wellness benefits
- Generous PTO
- Annual bonus plan for eligible non-sales roles
- Remote – USA
Company Overview