Lead Data & Analytics Engineer

Remote
Full Time
Experienced

In April 2025, Kandu Health and Neurolutions merged to form Kandu Inc. to pioneer an integrated approach to stroke recovery, combining FDA-cleared brain-computer interface technology with personalized telehealth services. The company’s IpsiHand® device is durable medical equipment that enables chronic stroke survivors to regain upper extremity function in daily home use. Combining this  advanced technology with the support of expert clinicians offers a comprehensive path to recovery– helping survivors improve mobility, independence, and quality of life. Kandu extends recovery beyond the hospital through principal illness navigation, providing one-on-one education, care coordination, and advocacy; grounded in clinical evidence and informed by the lived experiences of patients and their families.

Summary

The Lead Data & Analytics Engineer will be a foundational member of Kandu’s Enterprise Systems & Intelligence (ESI) team, a new function responsible for building Kandu’s unified digital operating system and enabling data-driven, intelligent workflows across the enterprise.

You will help architect and build the data infrastructure that connects our core business systems, turning disparate operational data into clean, governed, insight-ready assets. You will design pipelines, model and transform data, build the enterprise data warehouse, deliver dashboards, and contribute to early predictive modeling. Your work will enable clinicians, commercial teams, market access, revenue cycle, operations, and leadership to make faster, more informed decisions.

This role is ideal for someone who loves building systems from scratch, thrives in ambiguity, and wants to be part of transforming a company into an insight-driven, AI-enabled enterprise.
 

What You’ll Do 

Data Engineering & Pipeline Development

  • Build and maintain data pipelines from key business systems, including EHR, CRM, ERP, claims/finance, and manufacturing/ops.
  • Design ELT workflows to ingest, normalize, and transform data using modern tooling (e.g., Fivetran/Airbyte, Prefect/Airflow, dbt, Python).
  • Ensure reliability, observability, version control, and documentation of all pipelines.
  • Handle PHI responsibly and ensure all pipelines, transformations, and data storage follow HIPAA, GDPR, and SOC2 requirements.

Enterprise Data Warehouse & Semantic Layer

  • Architect, build, and implement a centralized data warehouse (e.g., in Snowflake, BigQuery, or Redshift), including schemas, fact/dimension models, and semantic layers  that reflect real-world workflows.
  • Develop and maintain clean data models (dimensional, star/snowflake schemas), ensuring consistency across patient, clinical, sales, and claims datasets, to support analytics, dashboards, reporting and predictive models.
  • Ensure data quality, lineage, governance and consistency across domains.

Analytics, Dashboards & Insights

  • Develop dashboards, operational monitors, and recurring analytics that provide real-time visibility into clinical, commercial, market access, revenue cycle, finance, and manufacturing activities.
  • Automate recurring reporting workflows, alerts, and ETL orchestration (scheduling, monitoring, error handling).
  • Enable self-service analytics by ensuring data models are consistent, intuitive, and well-documented.
  • Translate problems uncovered during discovery into actionable, well-structured analytics and visualizations.
  • Support rapid ad hoc analysis during the early discovery phase of ESI.

Applied Data Science & Early Predictive Modeling

  • Develop early predictive and prescriptive models, e.g. prior-auth approval likelihood, therapy adherence patterns, claims-denial risk, operational forecasting.
  • Support feature engineering, EDA and model evaluation under the direction of the VP of ESI.
  • Help lay the foundation for future AI-driven decision support systems and embedding intelligence into operational systems.

Cross-Functional Partnership

  • Work closely with business stakeholders to understand requirements, pain points and data needs.
  • Communicate clearly with non-technical teams and translate technical concepts into business language.
  • Support the ESI team’s mission to strengthen data-driven decision-making across the company.


What You’ll Bring 

  • 5–8 years of experience in data engineering, analytics engineering, or a full-stack data role spanning pipelines, modeling, and dashboards.
  • Strong SQL and Python skills (must be confident building production-grade pipelines).
  • Experience with modern data stack tools (Airflow/Prefect, dbt, Fivetran/Airbyte, Snowflake/BigQuery/Redshift).
  • Experience designing star schemas, dimensional models, or semantic layers.
  • Strong dashboarding experience (Looker, Tableau, PowerBI, Mode, Sigma, etc.).
  • Ability to work across messy, unstructured and inconsistent SaaS data sources.
  • Comfort integrating data from multiple SaaS systems via APIs, webhooks, and vendor interfaces.
  • Excellent communication skills and comfort partnering with cross-functional teams.
  • Ability to thrive in ambiguity and build v1 systems with limited infrastructure.
     

Preferred Qualifications

  • Experience in healthcare (EHR data, claims, RCM, prior auth, ERP, medical device workflows).
  • Familiarity with HIPAA/security considerations for pipelines and stored data.
  • Experience contributing to early-stage predictive modeling (sklearn, XGBoost, time series).
  • Experience improving operational workflows or enabling digital transformation.
  • Knowledge of Salesforce data model, clinical systems, and ERP/RCM systems is a plus.

What We Offer (FOR FTE Only):

  • Competitive Compensation ($150,000-$175,000 annually +stock options)
  • Insurance (Medical/Dental/Vision)
  • 401(k) with company 
  • Unlimited PTO & Holidays
  • Life Insurance, LTD and STD

Please note that the salary information is a general guidance only. Kandu Health, Inc. considers factors such as scope and responsibilities of the position, candidate’s work experience, education/training, key skills and internal parity, as well as location, market and business considerations when extending an offer.

Kandu Health is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


 
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