Staff Data Engineer

Interwell Health; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Remote work

Job summary

Interwell Health is seeking a Staff Data Engineer to shape, scale, and govern its data ecosystem. You will design a secure cloud Lakehouse platform and lead teams in implementing robust data pipelines for healthcare data.

Responsibilities include building analytics-ready datasets, ensuring HIPAA-aligned access, and guiding enterprise data platform evolution across pillars such as EHR, claims, and APIs. This is a remote role with national scope, reporting to the Director of Data Engineering.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 7+ years of experience in data engineering.
• 2+ years in a senior or staff-level engineering role.
• Deep hands-on proficiency with Databricks, Spark, Delta Lake, dbt, and Python.
• Experience designing large-scale cloud data platforms (Azure preferred).
• HIPAA familiarity and working with PHI in regulated environments.
• Strong communication with technical and clinical stakeholders.

Responsibilities

• Design and evolve a scalable, secure cloud Lakehouse platform using Databricks and Microsoft Fabric.
• Define modeling patterns, governance, and engineering best practices across data lifecycles.
• Lead design reviews and guide teams in scalable architectural patterns.
• Build batch and streaming data pipelines for healthcare sources (EHR, claims, HL7/FHIR, APIs).
• Develop modular ingestion, quality, lineage, metadata, and observability frameworks.
• Produce analytics-ready datasets and data models for BI, analytics, and ML workloads.
• Architect Databricks workloads for reliability, performance, and cost efficiency.

Skills

Architectural leadership

Cloud data platforms

Databricks

Python

Spark SQL

Communication with stakeholders

HIPAA compliance

Mentorship

CI/CD for data pipelines

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Delta Lake

dbt

Microsoft Fabric

Azure

Spark

OneLake

Job description

Interwell Health is a kidney care management company that partners with physicians on its mission to reimagine healthcare— with the expertise, scale, compassion, and vision to set the standard for the industry and help patients live their best lives. We are on a mission to help people and we know the work we do changes their lives. If there is a better way, we will create it. So, if our mission speaks to you, join us!

Reporting to the Director of Data Engineering, the Staff Data Engineer serves as a senior technical leader responsible for shaping, scaling, and governing our modern data ecosystem. This role blends architecture, hands‑on engineering, platform leadership, and cross functional partnerships to deliver high quality data products that power clinical, operational, financial, and analytical outcomes.Deep experience with Databricks, Python, dbt, and Microsoft Fabric, along with strong fluency in healthcare data and compliance standards, is essential. At its core, you’ll work closely with teams across the organization to deliver governed, high‑quality, analytics‑ready data at scale.

Our Tech Stack : Databricks, Delta Lake, Unity Catalog, Microsoft Fabric (OneLake, Lakehouse, Data Factory), Azure,dbt, Python,PySpark, Spark SQL.

WhatYou’llDo:

Architecture & Strategy

• Design and evolveascalable,secure, cloud‑nativelakehouseplatform leveraging Databricks, Microsoft Fabric (OneLake, Lakehouse, Data Factory), anddbt.
• Define modeling patterns, governance frameworks, and engineering best practices across the data lifecycle.
• Lead design reviews and guide teams in adopting scalable architectural patterns.
• Drive long‑term platform strategy and evaluate emerging technologies.

Hands-on Engineering

• Design and implement batch and streaming data pipelines for healthcare data sources (EHR, claims, HL7/FHIR, APIs, flat files, databases)
• Develop modular ingestion, quality, lineage, metadata, and observability frameworks that scale across domains.
• Produce clean, analytics‑ready datasets and data models for BI, analytics, and machine learning workloads.
• Implement HIPAA‑aligned access patterns and secure handling of PHI.
• Architect Databricks workloads (clusters, jobs, Unity Catalog, Delta Lake) for reliability, performance, and cost efficiency.
• Integrate Databricks and Microsoft Fabric with Azure services and enterprise systems.

Leadership & Collaboration

• Partner withproduct managers,data scientists, analysts, clinicians, and business stakeholders to translate healthcare data needs into scalable solutions.
• LeadCrossfunctional initiatives that modernize and unify the organization’s data ecosystem.
• Mentor senior and mid-levelengineers;elevate team capability through technical coaching and standards.
• Driveroadmap planning, platform evolution, and long-term data strategy.
• Champion engineering excellence, reliability practices, documentation quality, and governance.

What You’ll Need

• Bachelor’sdegree inComputer Science, Engineering, ora relatedfield.
• 7+ years of experience in data engineering.
• 2+yearsoperatingin a senior or stafflevel engineering role.
• Deep hands‑onproficiencywith Databricks, Spark, Delta Lake,dbt, and Python.
• Proven ability to design andoperatelargescale cloud data platforms (Azure preferred).onexperience with
• Handson experience withData Engineering, Data Factory, Lakehouse,OneLake.
• Advanced data platform architecture and Lakehouse designexpertise.
• Demonstrated ability to design modular, extensible frameworks and guide the long-term evolution of enterprise data platforms.
• Strong command of distributed data processing and cloud native engineering.
• Experience working in HIPAA regulated environments and handling PHI.
• Healthcare data fluency, including regulated data handling and compliance.
• Technical leadership, mentorship, and influence across teams.
• Strong communicationskills with both technical and clinical stakeholders.
• Experience with platform reliability, CI/CD for data pipelines, and infrastructure as code.
• 100% remote(ET or CT work hours preferred)

Preferred

• Experienced in implementing and supporting Epic integrations,leveragingCogito Cloud and Caboodle data models, and delivering reliable incremental data pipelines from Caboodle/Clarity.

Our mission is to reinvent healthcare to help patients live their best lives, and we proudly live our mission-driven values:

• We care deeply about the people we serve.
• We are better when we work together.
• Humility is a source of our strength.
• We bring joy to our work.
• We deliver on our promises.

We are committed to diversity, equity, and inclusion throughout our recruiting practices. Everyone is welcome and included. We value our differences and learn from each other. Our team members come in all shapes, colors, and sizes. No matter how you identify your lifestyle, creed, or fandom, we value everyone’s unique journey.