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Insurance Document Automation & Analytics

Data Engineer

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Who We Are

Groundspeed Analytics, Inc. is a data analytics firm that is making sense of the unstructured information driving most decisions in the commercial insurance industry. We are team of insurance experts, data scientists, software engineers, and analysts working in a collaborative and fun environment. We work with some of the largest insurance companies in the world. Our clients treat us like partners and friends, and we are deeply committed to them.

We are also one of the fastest growing InsurTech firms in the world, recently recognized as one of the 250 fastest growing FinTech startups in 2018 by CB Insights. We are co-located in Ann Arbor, Michigan (named the Best Place to Live in 2018 by Livability) and Atlanta, Georgia.

What We Do

Groundspeed is a data science and artificial intelligence (AI) company serving commercial property and casualty insurance carriers, brokers and managing general agents (MGAs). Our solutions unlock the value in unstructured information such as loss runs, exposure schedules, and policy data to automate core processes and provide powerful predictive risk analytics that improve margins, identify profit pools, and improve customer experience.

We are committed to building innovative solutions that apply approaches from the fields of deep and classical machine learning, natural language processing, and analytics. Our insurance industry domain knowledge paired with our technology expertise positions us uniquely in the market to address this challenging and high-value problem space. To meet that goal, we are working to create a world-class engineering and data science team.

Job Summary

We are looking for creative, enthusiastic, and collaborative professionals who don't shy away from hard problems. Our team is made up of people from a diverse set of fields, industries, and backgrounds — all of whom are focused on bringing everything they can offer to make this a successful team. We look for people who have a personal sense of responsibility to produce the best products and services possible, and expect the same from their team members. We are a culture that believe in iteration and strives to add value each and every sprint, and to do so without ego.

Our ideal candidate is an experienced data engineer with a proven track record of owning the data flow of an organization for at least, the last five years. This isn't a "connect-the-dots" dev position — our engineers must be able to take loosely defined, complex ideas and run with them, working toward elegant results. You'll work with small teams to help define and, most importantly, build the systems and tooling for our data pipeline and analytics products,facilitating AI-driven automation, big data systems, analytical models, and the applications that tie it all together.


  • Provide hands-on technical leadership designing, developing, testing, deploying, and improving software
  • Write reliable, scalable, maintainable software primarily using JavaScript (though we use other languages as well)
  • Build systems that empower internal clients to accomplish more
  • Manage individual projects priorities, deadlines and deliverables with your technical expertise
  • Participate in code reviews and provide mentorship in a variety of software engineering areas to other team members
  • Contribute to product design and architecture planning of major systems and features
  • Help lead and scale our engineering organization by collaborating with leadership and stakeholders on a regular basis


  • At least three years of experience contributing significantly to the creation and maintenance of data models and ETL systems
  • Knowledge of agile software development and continuous integration / deployment principles
  • Persistent against challenges, quick to debug, and identifies problems to solve before users encounter issues
  • Chooses tools and technologies for efficiency and performance, and understands trade-offs associated with those choices
  • Understands the business impact of technical decisions and is empathetic to the user experience
  • Demonstrates knowledge through practice of documentation, code reviews, mentoring, and contextualizing work across teams
  • Ability to communicate with multiple stakeholders and enforce data standards and quality

Why Choose Groundspeed?

  • Participate in the engineering process from start to finish — we value a culture of responsibility
  • A collaborative team with mentors for every skill-level
  • Use the best tools — productivity is key
  • Immediate impact on challenging engineering tasks — rapid prototyping and iteration are essential to an efficient engineering process
  • A culture that is committed to work-life balance
  • A broad and growing benefits package that includes 3% contribution to a 401K plan, amazing health insurance, wellness reimbursement, snacks and drinks, and lunches every Friday
  • Contribute to one of the fastest growing startups in Michigan in terms of revenue, headcount, and tech
Chicago • San Francisco • Ann ArborRemote
Hires remotely
Job type
Visa sponsorship
Not Available

Healthcare benefit

A broad and growing benefits package that includes 3% contribution to a 401k plan, amazing health insurance, wellness reimbursement, etc.

Wellness benefit

A culture committed to work-life balance.

Professional_development benefit

A highly collaborative team with mentors for every skill-level.

Miscellaneous benefit

The opportunity to make a real impact on the insurance industry by being an early player in our market.

Groundspeed Analytics at a glance

Insurance Document Automation & Analytics

Groundspeed Analytics focuses on Analytics, Machine Learning, Insurance, and Insurtech. Their company has offices in Ann Arbor. They have a mid-size team that's between 51-200 employees. To date, Groundspeed Analytics has raised $32M of funding; their latest round was closed on July 2018.

You can view their website at http://groundspeed.com/ or find them on Twitter, Facebook, and LinkedIn.

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