Senior Analytics Engineer, SonderMind
$116-145k
In-person and online therapy platform
Job no longer available
In-person and online therapy platform
1001+ employees
Job no longer available
$116-145k
1001+ employees
Company mission
To improve mental health care – through easier access, use of individualized care, and life-changing outcomes.
Role
Who you are
- Technical Expertise: You possess deep technical skills in SQL and data warehousing principles (e.g., dimensional modeling, ETL/ELT). You are proficient in designing, building, and maintaining data pipelines and data models. Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift) and data orchestration tools (e.g., Airflow, dbt) is highly valued
- Data Advocate: You have a strong understanding of data quality, data governance, and data security best practices. You are passionate about ensuring data accuracy, reliability, and accessibility for all data consumers
- Problem Solver: You are adept at identifying data-related challenges, troubleshooting issues, and implementing effective solutions. You have a strong analytical mindset and the ability to translate business requirements into technical data solutions
- Collaborative Partner: You work effectively with cross-functional teams, including data analysts, data engineers, and business leaders. You communicate technical concepts clearly and concisely to both technical and non-technical audiences
- Detail-Oriented: You have a meticulous approach to data management and development, ensuring accuracy and consistency in all data-related work
- Drive for Efficiency: You are constantly looking for ways to optimize data pipelines, improve data processing performance, and automate repetitive tasks
- Learning Agility: You are eager to learn new data technologies and methodologies and adapt to the evolving data landscape
- 5+ years of experience in an Analytics Engineer, Data Engineer, or similar role focused on building and maintaining data infrastructure
- Proven experience with data orchestration using dbt
- Strong proficiency in SQL and experience working with relational databases and data warehouses
- Experience designing and implementing ETL/ELT processes
- Familiarity with data modeling concepts and techniques
- Experience with at least one cloud-based data platform (e.g., Snowflake, BigQuery, Redshift)
- Previous experience in a fast-paced or startup environment is a plus
- Experience with BI tools such as Looker, PowerBI, or Tableau (Looker preferred)
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field, or equivalent combination of education and experience
What the job involves
- SonderMind is looking for a talented and driven Senior Analytics Engineer to build and maintain the data infrastructure that empowers our analytics and business intelligence functions. Reporting to the Manager of Analytics and Analytics Engineering, you will play a crucial role in transforming raw data into reliable, well-structured datasets for analysis and reporting.
- This individual will be responsible for designing, building, and optimizing our data pipelines, data models, and data warehousing solutions. We’re looking excitedly to welcome a new technical superstar to an awesome, driven, and innovative Data Analytics team to shape our data infrastructure and contribute significantly to the growth and success of SonderMind
- Design and Build Scalable Data Models: Develop and maintain well-structured, efficient, and reliable data models that support business intelligence, reporting, and advanced analytics use cases
- Develop and Optimize Data Pipelines: Build and manage robust, scalable data pipelines using modern data processing tools to transform raw data into clean, analytics-ready datasets
- Define and Promote dbt Best Practices: Establish standards for modeling, testing, and documentation to ensure scalable and reliable data transformations
- Own and Evolve the Data Warehouse Architecture: Maintain and improve our data warehousing solutions (e.g., Snowflake), ensuring performance, scalability, and alignment with evolving business needs
- Partner Cross-Functionally on Data Requirements: Work closely with data analysts, engineers, and business stakeholders to gather data needs and translate them into effective data solutions and infrastructure improvements
- Champion Data Quality and Governance: Implement and champion best practices in data validation, documentation, version control, and monitoring to establish strong trust and reliability in our data assets
- Mentor and Lead: Provide technical guidance and contribute to a culture of learning and collaboration within the broader data analytics team
- Within one month, gain a solid understanding of our existing data infrastructure, key data sources, and reporting needs; establish strong working relationships with the Analytics and Data Engineering teams
- Within two months, contribute to the optimization of existing data pipelines and begin working on the design and implementation of new data models or transformations to support ongoing analytical projects
- Within three months, independently build and deploy reliable data pipelines, actively monitor data quality and performance, and contribute to the development of data documentation and best practices
Our take
Demand for mental health services in the U.S. is soaring, yet therapeutic services are generally expensive, uniform, and hard to access for the majority of people. This is mainly due to the fact that most mental health practitioners don't accept insurance or work within a healthcare infrastructure.
SonderMind tackles the shortage of accessible mental health services by providing a digital network that matches the specific needs of patients with mental health specialists. What's more, the patient’s insurance coverage network is considered when determining a match, allowing users to find personalized therapeutic services that fit within their budget.
In addition to its therapy recommendation service, Sondermind also provides tools for therapy booking, organization, and billing. Ultimately, the startup has taken an interesting stance within the therapy landscape by focusing on providing personalized and easy-to-use booking services that are flexible within different budgets and insurance plans.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jul 2021
$150m
SERIES C
Apr 2020
$27m
SERIES B
Total funding: $183.2m
Company benefits
- Flexible work: Most SonderMind positions are fully-remote and can work from most states. We also have a Denver-based headquarters for those craving in-office options.
- Whole-person wellness: Access SonderMind care or get up to 100% coverage on mental health support. Plus, competitive medical, dental, and vision coverage, including and HSA plans with a $1,100 match and FSAs.
- Required vacation time: Yes, you read that right. Our flexible PTO requires each employee to take a minimum of 3 weeks off each year, plus additional paid company holidays.
- Retirement and more: All employees receive a 401K retirement plan with a 100% company match on up to 4% of their base salary. Plus, discounts on pet insurance plans, and more.
- Plan for the unexpected: With employer-paid life insurance, short-and-long-term disability, and AD&D, we also cover the difference in salary for up to 8 weeks of short-term disability leave.
- Family leave: We offer eight weeks of paid parental leave to any new parent. And, if the parent also qualifies for short-term disability (which can be up to 8 weeks), this benefit is additional.
Company HQ
Capitol Hill, Denver, CO
Leadership
Mark Frank
(Co-Founder & CEO)Co-founded SafeImageMD in 2012. Former Chairman on the Board of Directors for AfterOurs Urgent Care prior to co-founding SonderMind.
Shouvick Mukherjee
(Co-Founder & CTO)They have extensive experience in engineering and have held many VP roles in various companies, including Yahoo and Walmart eCommerce.
Salary benchmarks
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