Skip to main content

Engineering Manager, Analytics Engineering in Boston

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job DescriptionJob DescriptionWho we are
Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around.

Zus is building a clinical data-first analytics foundation for providers with a particular focus on value-based care (VBC). Our data powers longitudinal care management across areas like medication adherence, care gap closure, risk stratification, and transitions of care.

We’re hiring an Engineering Manager to lead this function as a player-coach. This person will build the team while remaining hands-on in designing and building analytical data products.

This role will shape how data engineering enables BI, AI, and agentic systems at Zus by producing high-quality, explainable datasets that accelerate AI-supported healthcare applications.

As part of our team, you will

    Lead data engineering for analytics systems

  • Design and build production-grade analytical data models and datasets.
  • Translate healthcare data (FHIR, claims, etc.) into reusable analytics assets.
  • Develop semantic layers and datasets that power workflows, analytics, and AI/ML applications.
  • Perform data engineering tasks (data transformation and workflow orchestration) to reliably land these tables.

    Enable AI-driven data systems

  • Create structured datasets that support model training, feature engineering, and feedback loops.
  • Partner with AI and Data Science teams to accelerate LLM and agentic AI capabilities.

    Own analytics architecture

  • Define the analytics-layer architecture from foundational models to workflow-ready datasets.
    Partner with Platform Engineering on ingestion, storage, performance, and scalability.
    Implement data quality, governance, and observability.

    Lead the team

  • Hire, manage and mentor analytics engineers.
  • Establish standards for modeling, testing, and documentation.
  • Lead through coaching, code reviews, and hands-on technical leadership.

You’ll Succeed If You Have

  • Expert SQL and data modeling
  • Expert ETL skills using dbt or similar frameworks
  • Experience managing or mentoring analytics and data engineers.
  • Experience Modern cloud data warehouses and lakes (e.g. Snowflake, BigQuery, SparkSQL)
  • Experience with automation and data reliability practices (testing, monitoring, CI/CD) 
  • Facility with modern BI tools and semantic modeling (Sigma )
  • Strong hands-on experience building production analytical data products.
  • Ability to balance people leadership with hands-on technical work.

It’s a Plus If You

  • Are experienced working with healthcare data such as FHIR, clinical datasets, or claims.
  • Have knowledge of Value-Based Healthcare concepts and systems.
  • Have experience building datasets for machine learning or AI systems
  • Are interested in building data systems that enable AI-driven healthcare applications.
  • Enjoy building and leading teams while still remaining hands-on.
  • Have built analytics systems that power products, workflows, or AI systems—not just dashboards.
  • Are excited about using LLMs and agentic AI to improve healthcare workflows and analytics systems.
  • Like designing clean semantic layers and trusted data models that teams can build on.
  • Enjoy working in early-stage environments where you can shape architecture, standards, and team culture.
  • Are in the Boston metro and excited to collaborate in person on a hybrid schedule, or are remote (EST/CST) but willing to travel for in person collaboration occasionally

We will offer you…
• Competitive compensation that reflects the value you bring to the team a combination of cash and equity• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)
Please Note: Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences.
We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.

Engineering Manager, Analytics Engineering in Boston

Boston, MA
Full time

Published on 03/28/2026

Share this job now