Lead Data Engineer

Marvik • Colorado Springs, CO

4d • Hybrid

About The Position

Do you enjoy owning data platforms end-to-end—from ingestion and modeling to infrastructure and analytics consumption?
Join us to lead high-impact data initiatives, combining deep analytical modeling with cloud-native infrastructure, while guiding teams and stakeholders toward scalable, reliable data solutions. 🚀
🌟 What do we offer?
Challenging projects
Use state of the art machine learning algorithms and techniques
Opportunity to join a growing startup with multiple professional development opportunities
Work on stuff other people only read about
Excellent work environment, full of highly motivated and talented young professionals.
Opportunity to work on-site and remotely.

Requirements

• Strong seniority in Data Engineering, with a proactive and ownership-driven mindset
• Solid experience in analytics engineering and data modeling, not just ingestion
• Hands-on experience with AWS-based data stacks
• Proven use of Airflow, dbt, Redshift, and DMS in production environments
• Strong SQL skills and experience maintaining analytical warehouses
• Ability to reason about infrastructure, cost, and scalability trade-offs
• Advanced English

Nice To Haves

• Experience consuming data from SaaS platforms such as HubSpot (CRM), Braze, or Intercom
• Background in fintech or high-growth startups (non-traditional banking environments)
• Experience collaborating directly with product, analytics, or growth teams
• Familiarity with data quality frameworks, observability, or FinOps practices
• Experience leading or mentoring other data engineers

Responsibilities

• Lead the design and evolution of analytical data platforms, balancing data modeling, performance, and maintainability
• Build and maintain robust data pipelines using Airflow, dbt, and AWS-native services
• Design and own dimensional data models that power analytics, reporting, and downstream use cases
• Manage and maintain cloud data infrastructure on AWS, including Redshift and ingestion workflows (DMS)
• Ensure data reliability, quality, and scalability through proactive monitoring and continuous improvement
• Act as a technical leader, guiding decisions, mentoring peers, and collaborating closely with analytics and business stakeholders

Benefits

• Challenging projects
• Use state of the art machine learning algorithms and techniques
• Opportunity to join a growing startup with multiple professional development opportunities
• Work on stuff other people only read about
• Excellent work environment, full of highly motivated and talented young professionals.
• Opportunity to work on-site and remotely.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed