Senior Data Engineer, Global Card Platform (Hybrid)

Careers at Remitly Nicaragua; Arlington (VA); Hybrid; USD 180,000 - 225,000; Full time

Job summary

Remitly is building the Global Card platform. As a Senior Data Engineer on the Global Card team, you will own the data foundation end to end—designing pipelines, schemas, and data marts for card, credit, and payments, and shaping feature pipelines with data scientists.

You will set architecture, monitor data quality, backfill safely, and partner with product, analytics, and data science to translate business needs into reusable data contracts.

Qualifications

• A degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Expert SQL and strong data modeling skills, including dimensional modeling, schema evolution, and designing tables that analysts and data scientists can use at scale.
• Experience building and operating large-scale data pipelines, including orchestration, incremental batch loads, and streaming, using distributed processing or query engines (e.g., Spark, Trino, EMR) on cloud infrastructure (e.g., AWS), with data quality checks, testing, and monitoring built in.
• Proficiency in at least one programming language used for data and backend work (e.g., Python, Scala, Java, Go), and experience building and operating backend services.
• Experience leading projects at the team level, including setting technical direction, breaking work into parallel workstreams, estimating timelines, and mentoring other engineers.
• Demonstrated ability to partner with product, analytics, and data science stakeholders to turn ambiguous business needs into clear technical plans and drive decisions to resolution.
• Experience using AI tools throughout your development workflow, with sound judgment about reviewing and testing generated code and protecting sensitive data.
• 5+ years of data engineering experience in a collaborative, cross-functional team environment.
• Bonus: Experience with financial data in fintech, lending, or payments, where accuracy, security, and compliance shape engineering decisions.

Responsibilities

• Own the data foundation: Design, build, and operate the schemas, pipelines, and data marts behind Remitly Global Card across card, credit, and payments, including the feature pipelines that supply our credit and fraud models.
• Lead technical direction: Define the architecture and roadmap for our data systems, anticipate where the business is headed, and choose designs that fit the problem and stay fast, reliable, and cost-efficient as we scale.
• Build trust in our data: Put data quality and monitoring in place across our marts and model features: testable freshness and reliability targets; completeness, consistency, and business-rule checks; automated tests for pipeline changes; and alerts with clear owners.
• Turn business needs into data products: Partner with product managers, analysts, and data scientists to shape requirements and turn them into reusable schemas and data contracts, well-modeled tables, shared metric definitions, and documentation, including lineage, so that people and AI tools can run their own queries and build their own dashboards.
• Raise the engineering bar: Set standards for data modeling, design and code review, CI/CD, access control, and sensitive data handling, including retention and deletion.
• Work across the stack: Build and improve the backend services that power our products as the need arises, and work with platform teams to reuse and extend shared data infrastructure, tooling, and standards.
• Mentor and grow the team: Guide engineers and analysts through design reviews, code reviews, and pairing. Represent Remitly's cultural values and technical competencies in interviews.

Skills

SQL

Data modeling

Data pipelines

Python

Scala

Java

Go

Big data

Team leadership

Mentoring

Education

Bachelor's degree in Computer Science

Tools

Spark

Trino

EMR

AWS

CI/CD

Job description

Remitly is building the Global Card platform. As a Senior Data Engineer on the Global Card team, you will own the data foundation end to end—designing pipelines, schemas, and data marts for card, credit, and payments, and shaping feature pipelines with data scientists.

You will set architecture, monitor data quality, backfill safely, and partner with product, analytics, and data science to translate business needs into reusable data contracts.