Phamily Logo

Phamily

Analytics Engineer

Reposted 2 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
As an Analytics Engineer, you'll transform healthcare data into insights, develop dbt models, manage Looker dashboards, and ensure data quality while supporting cross-team analytics needs.
The summary above was generated by AI

Healthcare Tech - Analytics Engineer

Location: Remote

Job Type: Full-time/Contract 

Full-time Salary Range: $90K - $120K

Contract Salary Range: $85–$120/hr

About Us

Phamily is a healthcare technology company focused on making proactive care management simple, scalable, and financially sustainable. Our SaaS platform equips health systems and physician groups with AI-powered virtual care tools to better manage chronic conditions and general patient needs between office visits. By shifting healthcare from reactive, episodic treatment to proactive care management, we’ve already supported tens of thousands of patients, and we’re just getting started. Join us as we continue to revolutionize how care is delivered.

Job/Role Description

As an Analytics Engineer at Phamily, you’ll transform raw healthcare data into trusted insights that drive smarter decisions across our organization. You’ll design clean, scalable data models, build a governed semantic layer in Looker, and empower teams to self-serve key business metrics. Beyond pipelines and dashboards, you’ll play a critical role in ensuring data quality, protecting sensitive health information, and enabling our product, clinical, and operations teams to act on insights confidently.

This is a highly visible role where you’ll shape how data fuels proactive healthcare, directly advancing Phamily’s mission to improve outcomes and reduce costs.

Key Responsibilities

  • Develop and maintain dbt models (staging → marts) with clear ownership, documentation, and testing.
  • Build and manage the Looker semantic layer, including Explores, governed metrics, and dashboards for self-serve analytics.
  • Partner with stakeholders to translate business questions into clear, reusable data products and insights.
  • Ensure data quality and trust by implementing tests, observability, and data freshness monitoring.
  • Provide ad-hoc analysis and decision support for product, operations, and leadership teams.
  • Create playbooks, host office hours, and train non-technical users to confidently leverage Looker.
  • Protect PHI with strong permissioning, governance, and secure defaults.

Requirements

  • 2+ years of experience in analytics engineering or data analytics, with strong SQL skills.
  • Hands-on experience with dbt (models, tests, docs) and Looker (LookML, Explores, dashboards).
  • Proven ability to model for cloud data warehouses (BigQuery preferred) and manage version control (Git).
  • Strong communication skills with the ability to translate vague questions into actionable metrics.
  • Experience working with sensitive healthcare data and applying appropriate governance practices.
  • Bonus: Familiarity with Python for analysis/automation and CI/CD tools (e.g., GitHub Actions).
  • Bonus: Knowledge of healthcare analytics (claims, clinical, or patient engagement data).

Our Compensation & Benefits

  • Competitive compensation commensurate with experience
  • Potential to earn equity based on performance
  • Remote-friendly work environment
  • Medical, dental, and vision coverage for employees and dependents at a nominal cost
  • Paid maternity leave
  • FSA and Dependent Care account options
  • 401(k) eligibility after 6 months of full-time employment
  • Collaborative, mission-driven work environment

If you take pride in delivering results, embrace challenges, and proactively seek improvement, then this is the place for you. You’ll join a smart, humble, and collaborative team dedicated to improving healthcare.

Equal Employment Opportunity

Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other legally protected status.

Top Skills

BigQuery
Dbt
Looker
Python
SQL

Similar Jobs

Yesterday
In-Office or Remote
Boston, MA, USA
Senior level
Senior level
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
The Lead Analytics Engineer will create data products, collaborate with business stakeholders to understand analytics needs, write SQL for data processing in Snowflake, and mentor junior staff while ensuring data quality and governance.
Top Skills: Ci/CdDbtGitPythonRubySnowflakeSQL
10 Days Ago
Remote
United States
135K-159K Annually
Mid level
135K-159K Annually
Mid level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The CX Analytics Engineer will enhance customer compliance operations through data analysis, collaboration, and development of metrics and tools to improve customer experience.
Top Skills: AWSLookerPythonQuicksightSQLTableau
Yesterday
Remote
United States
Senior level
Senior level
Big Data • Food • Mobile • Payments
As an Analytics Engineer, you will lead the design and optimization of scalable data pipelines and models, ensuring the monetization of data. You'll also mentor team members and collaborate on data strategy with cross-functional teams.
Top Skills: AirflowBigQueryDbtPythonRedshiftSnowflakeSQL

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account