About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer, Payments based in the United States. Join a data engineering team building the trusted data foundations behind large-scale protection programs and critical business operations.
Responsibilities
- Design, build, and maintain scalable data pipelines to ingest, reconcile, transform, and publish data for business-critical products and operational workflows
- Develop robust, analytics-ready data models and metrics supporting financial reconciliation, claims and operations reporting, experimentation, executive dashboards, and self-service analytics
- Collaborate with software engineers and external data partners to understand source systems, integrate third-party data feeds, and transform complex information into reliable datasets
- Establish and maintain high standards for data quality, accuracy, consistency, documentation, and ownership
- Improve pipeline reliability, maintainability, and observability through automated testing, monitoring, validation, and engineering best practices
- Partner with Product, Engineering, Finance, Operations, Analytics, and Data Science teams to translate business needs into effective data solutions
- Contribute to the broader data engineering community by sharing expertise and influencing technical standards
- Build foundational data systems capable of supporting new markets, evolving product offerings, and changing regulatory needs
Requirements
- At least 6 years of relevant professional experience in data engineering, software engineering, or a closely related technical field
- Strong experience designing, developing, and maintaining production-grade ETL or ELT pipelines
- Proven expertise in data modeling for business analytics, operational workflows, and decision-making
- Hands-on experience with large-scale distributed data processing technologies such as Apache Spark and distributed storage systems
- Advanced SQL skills and proficiency in at least one programming language commonly used in data engineering, such as Python, Scala, or Java
- Experience with workflow orchestration and pipeline scheduling frameworks such as Apache Airflow
- Ability to work with structured and third-party data sources, reconcile inconsistencies, and transform raw information into trustworthy warehouse models
- Strong written and verbal communication skills
- Sound technical judgment regarding data quality, testing, documentation, ownership, observability, and long-term maintainability
- Nice to have: experience with insurance, payments, financial services, risk management, trust, or compliance-related data; familiarity with external partner data feeds and financial reconciliation; experience supporting experimentation frameworks or BI dashboards; knowledge of data quality frameworks and observability practices
Conditions
- Annual base salary ranging from $196,000 to $227,000 USD, depending on experience, skills, qualifications, and business needs
- Potential eligibility for additional bonuses and equity
- Comprehensive employee benefits supporting health, well-being, and financial security
- Potential eligibility for travel credits
- US-remote-eligible position, with occasional office visits or team offsites
- Opportunities to influence data engineering standards and collaborate with experienced professionals
- Commitment to equal employment opportunities, diversity, accessibility, and reasonable accommodations