Senior Analytics Engineer

About SonderMind

At SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises. Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android. To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter.

About the Role

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.

What you’ll do

• 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.

What does success look like?  

• 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.

Who You Are

Critical Competencies:

• 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. 

Experience:

• 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.

Our Benefits 

The anticipated base salary range for this role is $116,000 - $145,000 annually.

As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people’s careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work.

Our benefits include:

• A generous PTO policy with a minimum of three weeks off per year
• Free therapy coverage benefits to ensure our employees have access to the care they need (must be enrolled in our medical plans to participate)
• Competitive Medical, Dental, and Vision coverage with plans to meet every need, including HSA ($1,100 company contribution) and FSA options
• Employer-paid short-term, long-term disability, life & AD&D to cover life's unexpected events. Not only that, we also cover the difference in salary for up to seven (7) weeks of short-term disability leave (after the required waiting period) should you need to use it.
• Eight weeks of paid Parental Leave (if the parent also qualifies for STD, this benefit is in addition, which allows between 8-16 weeks of paid leave)
• 401K retirement plan with 100% matching which immediately vests on up to 4% of base salary
• Travel to Denver 1x a year for annual Shift gathering
• Fourteen (14) company holidays
• Company Shutdown between Christmas and New Years
• Supplemental life insurance, pet insurance coverage, commuter benefits and more!

Application Deadline

This position will be an ongoing recruitment process and will be open until filled.

Equal Opportunity 

SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.