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Analytics Engineer II

Alma
Full TimemidRemote
Remote, Contiguous USRemotePosted February 12, 2026

Job Description

Alma is on a mission to simplify access to high-quality, affordable mental health care. We do this by making it easy and financially rewarding for therapists to accept insurance and offer in-network care. When a provider joins Alma, they gain access to a suite of tools that not only help them better run their business, but also grow it sustainably and develop as a provider. Alma is available in all 50 states, with over 20,000 therapists in our growing network. Anyone looking for a therapist can browse Alma’s free directory. Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures. Alma was also named one of Inc’s Best Workplaces in 2022 and 2023.

 
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Analytics Engineer II

Alma is seeking a mission-oriented Analytics Engineer to join our team. This person will work to build out and maintain Alma’s information systems that collect, manage and convert raw data standardized models for use by analysts and stakeholders across the company.  This person will play an integral role in making data accessible to the organization so it can evaluate and operate effectively and successfully.

What you’ll do:

  • Build models and queries to transform data into standardized formats that power our business analytics.
  • Maintain and develop Alma’s data pipeline architecture
  • Proactively identify, diagnose, and resolve data quality, reliability, and performance issues across the data lifecycle.
  • Collaborate with stakeholders to define requirements and implement robust processes for ingesting data from diverse internal and external sources.
  • Implement data governance best practices and ensure compliance with data policies.
  • Work with the data team and cross-team stakeholders to evaluate the priorities and needs of the company.

 

Who you are:

  • You have 3+ years of progressive experience in data engineering or analytics engineering, with a strong emphasis on building and optimizing data pipelines and data warehouses.
  • You possess advanced SQL skills, with proven experience in writing complex, performant queries and optimizing them in a data warehouse environment like Redshift.
  • You have a strong understanding of data warehousing and business intelligence tools.
  • Experience wit

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