We are seeking a highly skilled Staff Data Engineer to join our team. In this role, you will lead the design, implementation, and optimization of our data infrastructure, leveraging Google Cloud Platform (GCP) and Amazon Web Services (AWS). You will play a critical role in developing scalable data pipelines, ensuring data integrity, and providing robust solutions that empower analytics and machine learning teams.

REQUIRED QUALIFICATIONS:

• 8+ years of experience in data engineering or a related field.
• Proven experience designing and implementing scalable data architectures (e.g., data lakes, data warehouses, real-time pipelines).
• Strong expertise in GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.) and AWS (Redshift, S3, Glue, Lambda, etc.).
• Expert in SQL and programming languages such as Python.
• Proficient in data warehousing concepts, data lakes, and distributed computing.
• Hands-on experience with Terraform or similar infrastructure-as-code tools.
• Demonstrated experience in technical decision-making, stakeholder engagement, and strategic planning.
• Strong analytical and problem-solving skills
• Understanding of data quality, lineage, observability
• Familiar with privacy and compliance (GDPR, HIPAA, etc.).
• Excellent communication and leadership skills, with the ability to influence technical and business leaders.
• Startup mindset — comfortable with ambiguity, rapid iteration, and limited resources.
• Leadership without authority — mentoring junior engineers, influencing architectural decisions.
  Come join a growing fintech company and grow your tech career!

ABOUT US

We enable our partners with choice, and challenge the one-size-fits-all approach to payment. You’ve probably used NMI in the last 24 hours without even realizing it. We’re the platform that powers success for innovative tech created by SMBs, entrepreneurs and fintech startups. We’re creative problem solvers who help visionaries smash through boundaries and think beyond what’s possible so they can think about what’s next. But we’re not just built for the tech savvy. We democratize the latest payments technology so that everyone can realize the benefits of easy payments across the full spectrum of commerce. We’re all about enabling more payments in more ways and more places.
We believe that having a diverse group of employees strengthens both our work and our workplace. We’re focused on making NMI more diverse and welcoming with initiatives like having a dedicated Diversity, Equity & Inclusion action group, diversity goals for hiring, anonymized resume screening, affinity groups such as our Women’s network and LGBTQ+ Network, open forums for discussions on diversity and social justice, and measuring inclusion and belonging as part of our regular employee engagement surveys.
Do you feel like you have a slightly out of the ordinary career path or history? We are open to all walks of life and very willing to hear your story. Please don’t feel like this should be a barrier to securing a great career at NMI! We appreciate success can come in all shapes and sizes. Fill in the ‘Additional Info’ box on our application to tell us more about your path.

KEY RESPONSIBILITIES

• Architect, build, and maintain scalable, reliable, and secure data infrastructure using GCP and AWS services.
• Design and implement ETL/ELT pipelines to process and transform large datasets efficiently.
• Develop and optimize data models, warehouses, and lakes for analytical and operational use cases.
• Set up and maintain CI/CD processes for automated deployment, integration, and testing
• Identify and address bottlenecks and opportunities for improvement in data pipelines and systems
• Implement data governance, security, and compliance best practices.
• Automate and monitor data ingestion, transformation, and storage processes.
• Ensure high availability and disaster recovery strategies for critical data systems.
• Stay updated with the latest advancements in cloud data technologies and advocate for best practices.
• Optimize and manage cloud-based data platforms, ensuring security, performance, and cost-effectiveness.
• Collaborate with partners and stakeholders to understand customers’ business challenges and key requirements.
• Clearly articulate technical trade-offs and recommendations to both technical and non-technical stakeholders.
• Mentor peers and foster continuous learning of new technologies within the team and the broader organization, consistently upholding high technical standards.