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.

\n

Accountabilities: 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.

\nHow Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1