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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer - **Company:** BetterHelp - **Location:** San Jose, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $135,000 - $155,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Big Data, Code Review, Data Discovery, Information Engineering, Data Governance, Data Warehousing, Database Testing, Software Design Patterns, Dimensional Modeling, Python (Programming Language), Machine Learning, Query Optimization, Mixpanel, Snowplow, SQL Databases, Web Applications, Scripting, Snowflake, Agentic-AI, Git, Information Technology, Data Lineage, Data Analytics, Looker Analytics, Data Pipelines - **Published:** November 10, 2026 - **Apply:** https://www.builtincolorado.com/job/senior-analytics-engineer/12154956?handler=ApplyRedirect ## About the Role * 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) ## Description 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 BetterHelp'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., Designs and maintains scalable data pipelines, integrations, and foundational data models using Snowflake, dbt, and AWS. Establishes data quality, testing, governance, and documentation standards while supporting analytics, financial systems, and reporting. Partners with Engineering, Analytics, Finance, and Operations, leads technical decisions, improves development workflows, mentors teammates, and incorporates AI coding agents into engineering processes.