Principal Data Architect (Data Science)
Location not identified
- Pay
USD 180,000–240,000/year — pay source
Salary 180,000 – 240,000 USD per year Compensation & Benefits:
Read the full posting- Work setting
Remote — work setting source
- Employment
Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: Full Time
From the employer’s posting
What you’ll work on
Full postingDesign and build data ingestion pipelines for feature engineering and machine learning
Create predictive features using healthcare data, statistics, and data science
Experiment with and tune statistical and machine learning models for each use case
Build and maintain pipelines that keep enterprise data science products running
Ship production code that follows engineering best practices
From the employer’s posting
Design and build the pipelines that bring data in for feature engineering and machine learning.
Use your knowledge of healthcare data, statistics, and data science to create features with real predictive power.
Experiment with statistical and machine learning methods to build, tune, and optimize predictive models that fit the use case.
Build and maintain the pipelines and processes that keep our enterprise data science products running smoothly.
Ship production code that follows engineering best practices.
What you’ll bring
All qualificationsCore experience
- 6+ years across data science and machine learning
- Expert-level SQL and Python
- Hands-on work with structured and unstructured data (tables, text, images, video)
- Experience with relational and NoSQL databases
- Experience deploying to GCP or another cloud platform
Qualification wording
6+ years working across data science and machine learning
Expert-level SQL and Python.
Hands-on work with both structured and unstructured data, such as tables, text, images, and video.
Experience with both relational (SQL) and non-relational (NoSQL) databases.
Experience deploying to GCP or another cloud platform.
Tools in this posting
- Python
- SQL
- Docker
- GCP
- NoSQL
- Spark
Source — Tool mentions in context
- Experience: 6+ years working across data science and machine learning (for the Lead level). - Core Languages: Expert-level SQL and Python. - Data Types: Hands-on work with both structured and unstructured data, such as tables, text, images, and video.
- Data Types: Hands-on work with both structured and unstructured data, such as tables, text, images, and video. - Databases: Experience with both relational (SQL) and non-relational (NoSQL) databases. - Data Processing: Familiarity with ETL and data processing tools like Apache Spark.
- Engineering Practices: Comfort with modern software practices like automated testing and CI/CD. - Containers: Experience with Docker. - Cloud: Experience deploying to GCP or another cloud platform.
About Egen: Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team. Want to learn more about life at Egen? Check out these resources in addition to the job description.
- Containers: Experience with Docker. - Cloud: Experience deploying to GCP or another cloud platform. BONUS EXPERIENCE
- Databases: Experience with both relational (SQL) and non-relational (NoSQL) databases. - Data Processing: Familiarity with ETL and data processing tools like Apache Spark. - Visualization and Monitoring: Experience using tools to visualize data and monitor its health.
Benefits in the posting
Full benefits wording- This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:
- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- Employee Referral Bonuses
- Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.
- EEO and Accommodations:
From the employer’s posting.
About Egen
Egen is a fast-growing and entrepreneurial company with a data-first mindset.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 16, 2026 · 13 days ago
- Recorded sightings
- 13
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
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Job description
About Egen:
Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.
Want to learn more about life at Egen? Check out these resources in addition to the job description.
RESPONSIBILITIES
- Data Ingestion: Design and build the pipelines that bring data in for feature engineering and machine learning.
- Feature Engineering: Use your knowledge of healthcare data, statistics, and data science to create features with real predictive power.
- Feature Extraction and Selection: Use techniques like clustering, text analytics, and PCA to find the most useful signals while preserving the meaning in the original data, so models stay accurate and scale well.
- Exploratory Data Analysis: Explore the data to find patterns, trends, and relationships, and use what you learn to match features with the right modeling approach.
- Model Development: Experiment with statistical and machine learning methods to build, tune, and optimize predictive models that fit the use case.
- Deployment: Ship production code that follows engineering best practices.
- Documentation and Communication: Document your work and share your approach, insights, and solutions with technical and non-technical audiences.
- Monitoring: Build and maintain the pipelines and processes that keep our enterprise data science products running smoothly.
- Quality and Integrity: Keep data and outputs accurate and reliable from start to finish.
- Collaboration: Partner with stakeholders, data scientists, data engineers, and product managers to build and deliver great data products.
QUALIFICATIONS
- Experience: 6+ years working across data science and machine learning (for the Lead level).
- Core Languages: Expert-level SQL and Python.
- Data Types: Hands-on work with both structured and unstructured data, such as tables, text, images, and video.
- Databases: Experience with both relational (SQL) and non-relational (NoSQL) databases.
- Data Processing: Familiarity with ETL and data processing tools like Apache Spark.
- Visualization and Monitoring: Experience using tools to visualize data and monitor its health.
- Engineering Practices: Comfort with modern software practices like automated testing and CI/CD.
- Containers: Experience with Docker.
- Cloud: Experience deploying to GCP or another cloud platform.
BONUS EXPERIENCE
- Consulting or Professional Services Background
- Domain Knowledge of Healthcare Data
- Knowledge of Healthcare Protocols such as HL7, FHIR, DICOM
This position may be hired at multiple levels. Final leveling is determined during the interview process based on a candidate's experience, skills, and interview outcomes, and the applicable salary range will align with the final level assigned.
Compensation is determined based on factors including experience, expertise, interview performance, and geographic location, where applicable.
Compensation is determined based on factors including experience, expertise, interview performance, and geographic location, where applicable.
Salary
180,000 – 240,000 USD per year
Compensation & Benefits:
This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:
- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- 401 (k) Employer Match
- Employee Referral Bonuses
Check out our complete list of benefits here - >https://egen.ai/people/#benefits
Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.
EEO and Accommodations:
Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.
Employment type
Full Time
Source details
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- Pay
Salary 180,000 – 240,000 USD per year Compensation & Benefits:
- Location & working pattern
Remote
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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