Senior Data Engineer

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 based in United States.

This role offers the opportunity to shape the future of a modern data platform within a fast-growing fintech environment.
You will design, build, and scale reliable data infrastructure that powers products, analytics, reporting, and AI-driven capabilities.
As a technical leader within the data organization, you will influence architecture decisions and establish best practices for production data systems.
The position combines hands-on engineering, platform ownership, governance, and collaboration with teams across the business.
You will work with modern cloud technologies while helping evolve data accessibility, reliability, and AI readiness.
This is a high-impact opportunity for an experienced engineer who enjoys solving complex challenges and driving technical excellence.

The Senior Data Engineer will serve as a technical anchor for the data platform, responsible for building scalable infrastructure, improving data reliability, and enabling trusted access to business-critical information. This role requires strong ownership, architectural thinking, and collaboration across technical and business teams.

• Define and maintain data governance standards, including access controls, data lineage, data contracts, and best practices for managing production data assets.
• Lead the technical evolution of the data platform toward an AI-ready architecture that supports advanced data consumption and emerging AI capabilities.
• Design, develop, and maintain scalable data pipelines across ingestion, orchestration, transformation, and delivery workflows.
• Build reliable data infrastructure using technologies such as AWS, Terraform, Airflow, Snowflake, dbt, Meltano, and Python.
• Improve platform performance, reliability, and data quality through monitoring, optimization, and SLA-based prioritization.
• Create solutions that make data accessible and valuable for analysts, business teams, applications, and AI systems.
• Champion the adoption of AI-assisted development tools and automation practices to improve engineering productivity.
• Mentor data engineers and analysts by sharing technical knowledge and helping raise engineering standards.
• Collaborate closely with product, finance, analytics, and engineering teams to ensure data solutions meet evolving business needs.

Requirements:

The ideal candidate is an experienced data engineering professional with strong expertise in cloud-based data platforms, production pipelines, and modern data architecture. They should be comfortable taking ownership of complex technical challenges while contributing to a collaborative, innovative environment.

• 5+ years of experience as a Data Engineer focused on production data pipelines and data infrastructure.
• Strong hands-on experience with AWS data services, including cloud storage, compute, and pipeline development.
• Experience managing cloud data warehouses such as Snowflake or equivalent platforms, including access management, performance optimization, and cost control.
• Advanced Python skills with the ability to independently develop and maintain complex production systems.
• Experience with workflow orchestration tools such as Airflow or similar technologies.
• Familiarity with data governance, observability, monitoring, and data quality frameworks.
• Understanding of event sourcing, change data capture, or similar data architecture patterns.
• Strong interest in leveraging AI tools and workflow automation to improve engineering efficiency.
• Experience with data lakehouse architectures and open table formats such as Apache Iceberg or Delta Lake is a plus.
• Experience with dbt-core in production environments is preferred.
• Experience building infrastructure for AI-driven data access, governance frameworks, or AI data quality evaluation is a plus.
• Background in fintech, financial services, or other regulated industries is beneficial.

Benefits:

• Competitive base salary range of $171,000–$207,000 USD depending on location, skills, and experience.
• Potential additional compensation through bonuses, equity, or other rewards depending on the role.
• Comprehensive health, dental, and vision insurance plans.
• 401(k) plan with employer matching contributions.
• Paid time off and parental leave programs.
• Financial wellness support with access to financial tools and professional guidance.
• Mental health support resources for employees and dependents.
• Fertility and family-building benefits.
• Student loan planning and repayment resources.
• Monthly work-from-home stipend and quarterly lifestyle stipend.
• Remote-friendly work environment with opportunities for team-building activities and company events.
• Opportunity to contribute to a mission-driven organization improving retirement access for businesses and employees.