Mon Ami

Palo Alto
11-50 employees
Meet the operating system for aging and disability services. Mon Ami is a trailblazing SaaS startup dedicated to revolutionizing the senior services market.

Senior Analytics Engineer @ Social Venture SaaS Startup

Senior Analytics Engineer @ Social Venture SaaS Startup


Mon Ami is a trailblazing SaaS startup dedicated to revolutionizing the senior services market. With innovative software solutions and over $15M in backing from top VCs, we're transforming how social services are delivered to older adults and people with disabilities. Our mission is to empower agencies that provide essential services through Medicare, Medicaid and the Older Americans Act, enhancing the well-being of our most vulnerable disabled and older americans.

We value high performance and high enjoyment. In addition to having the privilege of working hard on a mission we believe in, we get to do it on a team we genuinely respect and like being around. Our hybrid/remote company of 25 people gets together in person 2x per year for board games, cooking competitions, and time outdoors. In between those retreats, we make time for 1-1 connections across the company. We have a truly flat hierarchy: ideas for innovation that come from our interns make it into the hands of our users. Founded by two women of color, we know diversity in our team leads to higher quality decisions, so we continually invest in recruiting from under-represented groups and maintaining an inclusive environment.


Mon Ami seeks a full-time position of Senior Analytics Engineer as part of the Data and Analytics team. You will have ownership over the structure of our data warehouse from day one, thinking about how to make it better for us and our customers (who will use it directly)
The focus of the position will be:

  • Reliably transforming data in our warehouse and owning data modeling decisions to improve the value we and our customers can get from the data
  • Building performant pipelines – we have both operational/streaming use cases and traditional batch ones
  • Writing scripts for important tasks like large scale data migrations or interacting with the APIs of our BI tools.
  • Working closely and collaboratively with the analysts and data scientists on the team who rely on our warehouse, data engineers who will be close and sometimes overlapping peers in many of the areas you own, and with the rest of the Mon Ami team including Customer Success, Product and Software Engineering.


You will be part of the Data and Analytics team, and work with many mes-amis. You will work with data directly from our core technology platform, ingested data from external sources and in both the data layer and BI layer as needed. Below is a sampling of projects:

  • Use transformation tools like Python, DBT, and Looker to maintain a well-tested analytical layer (e.g., creating useful data marts for our clients to do self-service reporting alongside our teams who do more complex work)
  • Use and mentor others on the team use data warehousing and SQL best practices to keep our analytics swift and reliable
  • Advise our engineering and product teams on architecture decisions that impact data quality
  • Collaborate with colleagues on the team to architect complex data pipelines, plan work, and set team policy
  • Communicate complicated technical solutions to mes-amis in a friendly and easy to understand way
  • Engage in special projects and other duties as assigned


  • 5+ years experience or equivalent capability with databases (e.g., BigQuery, Postgres, etc.) and associated SQL expertise.
  • 5+ years experience or equivalent capability with ELT (eg DBT, DataMesh, etc.).
  • 3+ years working in an environment focused on data and analytics (e.g., as an analyst, within a reporting focused team, an engineer supporting reporting or data science, etc.)
  • 3+ years experience or equivalent capability using a scripting language (e.g. Python, R, etc.) for problems such as job orchestration, data wrangling, interacting with APIs, etc.
  • Familiarity with designing data systems from an overall architecture perspective, with opinions about optimizing for both performance and ease of use
  • Comfort with managing a semantic layer (eg in dbt, Looker, etc.) and interacting with BI tools and their management
  • Expert in common software engineering best practices (e.g. interacting with file system, using version control, github workflows, test driven development, etc.)
  • Some experience in automating data related tasks, and building out effective CI/CD pipelines


  • Knowledge of CRM technologies and the type of data challenges they produce
  • Familiarity with AWS and cloud services such as S3, IAM, EC2
  • History of providing technical mentorship
  • Experience with health related data (HIPAA and security compliances)


Benefits include health insurance, 15 days PTO (20 days after year two), sick leave, 401K, disability insurance, FSA, HSA, generous paid family leave, and more. Some benefits are available only to US residents.


Send a resume or LinkedIn and cover letter to A word about cover letters: short ones are great -- we just want to know what drew you to this opportunity and why you could be a good fit.

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