Data Engineer

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A leading global financial technology company provides an intelligent finance platform that helps businesses manage spending, corporate cards, banking, bill payments, travel, and financial operations across more than 200 markets. Its AI-native automation and technology help organizations reduce manual expense and accounting work while gaining greater visibility and control over their finances.

The organization is seeking a Data Engineer to transform raw data into actionable insights across the business. The role will involve close collaboration with Data Scientists, Data Analysts, Software Engineers, and business teams to develop scalable data models, pipelines, and analytics frameworks.

The Data Engineering function plays an important role in building infrastructure, data products, and analytical capabilities that support business decision-making, operational efficiency, risk management, and customer experiences. The successful candidate will also contribute to the design, implementation, and maintenance of high-quality, curated Core Data tables used across a wide range of analytical applications.

Where You’ll Work

This role will be based in San Francisco in a hybrid working environment that combines in-office collaboration with the flexibility of working remotely. The position currently requires a minimum of three coordinated days in the office per week, on Monday, Wednesday, and Thursday. The role also provides an opportunity for up to four weeks of fully remote work per year.

Key Responsibilities

• Design, build, and maintain scalable data models and pipelines that support the organization’s growing number of services, products, and business requirements.
• Collaborate with Data Scientists, Data Analysts, and business teams to understand data requirements and translate them into reliable, efficient, and scalable solutions.
• Develop data solutions that enable predictive analytics, data analysis, and accurate metrics formulation.
• Maintain data documentation and definitions while ensuring source-of-truth tables remain accurate and reliable for data science and reporting applications.
• Develop and enable integrations with a variety of data sources to support data-driven initiatives across the organization.
• Apply data management best practices to ensure the reliability, quality, and robustness of data used across analytics applications.
• Establish and promote company-wide standards for data structure, quality, documentation, and expectations.
• Serve as a liaison between technical and non-technical stakeholders, ensuring that data solutions align with business objectives.
• Leverage agentic AI where it can accelerate data pipeline development and quality-related work while maintaining appropriate validation and data integrity standards.

Requirements

• 3+ years of experience in Data Engineering, Data Analytics, Analytics Engineering, or a related field.
• Advanced knowledge of databases and SQL, including the ability to efficiently stage, process, and transform data.
• Experience integrating and orchestrating data workflows using modern data tools and systems.
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
• Experience working with a data warehouse such as Snowflake.
• Experience with a data workflow orchestration platform such as Airflow.
• Experience with a programming language such as Python.
• Experience working with agentic AI.
• Exceptional quantitative and analytical skills.
• Strong communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.

Nice to Have

• Familiarity with BI tools such as Looker, Tableau, or similar platforms.
• Production experience with dbt, including models, tests, documentation, and collaboration within a shared repository.
• Experience developing AI-ready data, with clearly defined and reusable metrics and dimensions that support consistent AI-assisted analysis.
• Experience integrating Salesforce data.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
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