Who we are  

M1 Finance has created a personal wealth-building platform made for the modern era, uniting personal perspective and automated ease. We seamlessly combine free investing, low cost borrowing and digital checking all in one intuitive, automated Finance Super App, and we’re driven by a mission to empower personal financial well-being. We believe that financial well-being is fundamental to overall well-being, and we strive to deliver products that are simpler, smarter, and stronger than those created by our staid, boring, entrenched, slow-moving competitors in the personal finance industry.    

Our clients have already trusted us with over $2 billion of assets, we’re currently helping more than 500,000 people grow and manage their wealth with our industry leading automation and tools, and we’re adding thousands of new clients every day.   

We’re looking for passionate people who want to improve and build on what we’ve created and take responsibility to help others build something meaningful and sustainable for their futures.    

We mean it when we say. “M1 is yours to build.”  

If this sounds interesting to you, we’d love to have you read on. 

What we’re looking for 

We are a team of driven engineers committed to executing a clear and exciting vision. We adopt an iterative approach, believe in continuous improvement, and embrace first-principles thinking. While we value creative dissent in problem solving and eschew the idea of adopting a solution just because "it has always been done that way," we also believe in respect, support, and enabling each team members’ best contributions however we can. Everyone plays an integral part in developing our product and is empowered to make impactful decisions on features, architecture, and implementation. 

Data engineering at M1 is responsible for the transport, storage, curation, and governance of data across the organization; we work closely with analysts and stakeholders on every team at M1 to provide the data and tools they need to make decisions. To achieve this, we rely on industry-leading tools - Kubernetes, a variety of AWS offerings like S3 and Redshift, and a Python-based programming stack. 

We are looking for an experienced engineer ready to take the next step in their career – someone who is ready to take ownership of industry-leading solutions to challenging problems and advancing the state of the art; someone who realizes the value in code reviews, pair programming, and continuous self improvement; someone who shares our company vision, embodies our values, and also recognizes that software development is more than just a job, it is a craft. 

As a member of the data engineering team, you’ll: 

  • Design systems that deliver data to users in minutes, rather than days
  • Work closely with application developers on domain modeling and data export processes
  • Collaborate with team members across functional areas to design solutions to pressing business problems 
  • Identify valuable new sources of data and integrate them into M1's data lake and data warehouse
  • Work with brokerage and banking operatives to architect automated business processes
  • Design and implement cloud-native data pipelines with Python and Kubernetes
  • Develop SQL-based transformation workflows for enriching and de-duplicating data
  • Create curated reports of complex business processes for end-user consumption
  • Implement clean and maintainable code that adheres to industry best practices
  • Identify and execute on opportunities to improve existing systems
  • Contribute product ideas to overall company growth
  • Grow alongside an exciting, committed team of engineers who will always help you be your best

Required Qualifications  

  • 5+ years of experience in data engineering, data science, or similar fields
  • Bachelors or Masters degree in Computer Science, Data Science, or another quantitative field 
  • Highly proficient with Python and SQL 
  • Experience with S3, Presto, Redshift, Spark, or other big data systems.
  • Experience with AWS, Kubernetes, or another cloud environment.
  • Knowledge of or interest in Scala
  • Demonstrated ability to collaborate with not only engineering teams but also stakeholders to deliver complex projects from start to finish
  • Strong mentorship skills with demonstrable experience elevating fellow team members
  • Entrepreneurial spirit, self-motivated, growth-minded
  • Excellent communicator and collaborator
  • General knowledge of investing and personal finance or desire to learn

Preferred Qualifications 

  • Experience with Apache Kafka, Amazon Kinesis, SQS, or other streaming data platforms.
  • Experience with CloudFormation, Terraform, or other IAC cloud infrastructure tools
  • Familiarity or interest in functional programming
  • General knowledge of investing and personal finance or desire to learn
  • Experience leading a team of data engineers
  • Experience with agile project planning methodologies

M1's Commitment to Diversity

M1 is proud to be an equal opportunity employer. We celebrate different experiences and we're committed to diversity, equity, and inclusion (DEI) at all levels of the company. Women, minorities, veterans, members of the LGBTQIA+ community, and individuals with disabilities are strongly encouraged to apply. With our three DEI task forces (internal education, recruiting, and community involvement), M1 employees and leaders set aside company time to tackle DEI projects and achieve goals every quarter.

Our Values 

Our team embodies our eight core principles and if these principles speak to you – we’d love to talk with you.  

  • Mission Driven: We will passionately apply ourselves to deliver immense value to our customers, knowing if they succeed, so too will the company 
  • Extreme Ownership: We think and act like owners. Our focus is building long-term value, not scoring short-term marks. We own everything in our domain, including the outcome and everything that affects it 
  • Boldness: We want to do things of consequence. Make a difference. We would rather fail at something meaningful than succeed at something trivial 
  • Bias for action: The best way to make progress is to act 
  • Economical: Efficiency is important, and we consider both the costs and benefits to our actions 
  • Team oriented: In working together, we maintain low ego, make everyone feel welcome, assume good intent, trust one another, and seek out different perspectives. We empower our teammates to be at their best.  
  • Challenged, but not overwhelmed: We are curious people who always want to grow. Growth happens outside our comfort zone. We achieve our potential through consistent, manageable growth 
  • Integrity: We do the right thing. When we make mistakes, we own and correct them. We would be proud if our actions are shared with our family, friends, and strangers. Everyone can count on us to act according tour values, beliefs, and principles we state we hold. This trust must never be broken.  

Our Perks 

  • Unlimited PTO 
  • Comprehensive health, dental, vision, disability, and life insurance 
  • Stock options for all employees 
  • Retirement benefit with employer match 
  • $500 to spend on home office equipment while working from home 
  • Stylish M1 swag 
  • Socially distant team outings, celebrations, and events 
  • Transparent and open communication 
  • Office in the Loop with a Game Room and Gym

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