Senior Analytics Engineer

Who are we and why should you join us?

The company is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, the company is committed to being part of the solution.

As a Senior Analytics Engineer at the company, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At the company, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way.

What are we looking for?

We are looking for a Senior Analytics Engineer to help us build best-in-class data products that deliver high-quality, trustworthy data and keep pace with our accelerated growth. These products must be built and maintained using best practices so they stay scalable and earn stakeholder trust as we grow in both size and scope. This person will work cross-functionally with technical and business stakeholders across the company, and will optimize our data stack to deliver trustworthy, discoverable, impactful data, served to both people and the AI tools they increasingly rely on.

What will you do?

• Employ your strong SQL and data modeling skills to propose, design, and build trusted tables in our data warehouse via dbt, serving as a single source of truth for business intelligence, data science, and machine learning use cases.

• Lead end-to-end dimensional modeling efforts, from requirements gathering through implementation, testing, and delivery, creating high-quality data experiences and collaborating directly with stakeholders to support their analytical success.

• Design and extend our semantic layer: the governed, metric-driven interface (built as Snowflake semantic views in dbt) that powers Looker and our natural-language BI chatbot, so stakeholders and AI agents get the same trusted answer to the same question. This includes defining canonical metrics, relationships, and verified queries grounded in real business questions.

• Use your experience with business partners and your empathy for users to translate stakeholder needs into well-structured data models and downstream experiences in Looker.

• Act as a subject matter expert (SME) for cross-functional teams, enabling data-driven decision-making through dashboards, self-serve tooling, and ad-hoc analyses, especially for data-forward teams like marketing, international growth, and insurance.

• Uphold data governance and privacy in a healthcare environment, applying PII/PHI classification, masking policies, and data contracts so our data assets stay trustworthy and protected as they scale.

• Build for performance and cost at "big data" scale, using incrementality patterns, sound warehouse and clustering choices, and query optimization so our models stay fast and efficient as volume grows.

• Contribute to the company's data-driven culture by supporting self-service, improving data discovery and lineage, and fostering trust in our data assets.

• Partner closely with data and machine learning engineers in our modern data stack, which includes dbt, Looker, Snowflake, Airflow, Snowplow, and Fivetran.

• Enjoy great teamwork, collaborate with data-minded colleagues who care deeply about mental health, and take pride in building a world-class product that makes a difference in people's lives.

What will you NOT do?

• You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.

• You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.

• You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!

• You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.

Can I work remotely?

Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.

Requirements

• At least 5 years of experience in analytics engineering, data engineering, data analytics, or a related field

• At least 4 years of experience working with business intelligence (BI) tools, preferably Looker or Omni

• At least 3 years of experience using dbt for in-warehouse data transformations

• Strong technical abilities in SQL, including "big data" scale query design, incrementality patterns, and performance optimization

• Deep understanding of frameworks and tradeoffs in building analytical data models (for example star schemas, analytics-ready design patterns, and dimensional modeling)

• Excellent communication skills, strong attention to detail, and effective time management

• Experience providing mentorship, supporting collaborative development, and conducting team pull request (PR) reviews

• Strong knowledge of data testing, including assertion design, coverage, orchestration, and data contracts

• Experience with version control using Git in a collaborative team environment

• Authorized to work in the U.S.

Bonus (Great to have, but not required)

• BS/MA in a quantitative discipline such as Computer Science, Statistics, Mathematics, or Engineering

• Significant experience with dimensional modeling, including building fact and dimension tables at "big data" scale using Kimball-style or denormalized design patterns

• Experience building or maintaining a semantic or metrics layer (for example Snowflake semantic views, the dbt Semantic Layer, or LookML as a semantic layer), or otherwise designing data for AI and natural-language analytics

• Familiarity with data privacy and governance in a regulated or healthcare setting

• Hands-on experience with data pipelines and analytics using a scripting language, preferably Python

• Background working with web-based B2C products, especially in healthcare or marketing analytics

• Experience serving as an agile or technical lead within a data-driven organization

• Strong familiarity with stream event analytics and web event tracking tools (for example Snowplow, Mixpanel, or Amplitude)

Benefits

• Remote work with regular in-person bonding experiences sponsored by the company

• Competitive compensation

• Holistic perks program (including free therapy, employee wellness, and more)

• Excellent health, dental, and vision coverage

• 401k benefits with employer matching contribution

• The chance to build something that changes lives – and that people love

• Any piece of hardware or software that will make you happy and productive

• An awesome community of co-workers

The base salary range for this position is $135,000 - $155,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2025 . Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.

At the company we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.

Notice to Candidates

The company has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page ( the company ) or reputable job boards like our official LinkedIn or Indeed pages, and all official the company recruitment emails will come from the domain @ the company . Our commitment is to ensure a safe and transparent hiring experience for all candidates.  We will never ask you for money, gift cards, or any form of payment during our hiring process, and we will never send money or checks to candidates. If you experience this, it is a scam.