Senior Cloud Data Warehouse Engineer, Twin Health

$140k

Plus opportunity for equity participation

SQL

AWS

Python

Scala

Java

Salesforce

Athena

Redshift

Snowflake

NetSuite

Senior and Expert level

Remote from US

More information about location

Individualized healthcare guidance for chronic metabolic diseases

Job no longer available

Individualized healthcare guidance for chronic metabolic diseases

501-1000 employees

HealthcareB2CPersonal healthArtificial IntelligenceMedTech

Job no longer available

$140k

Plus opportunity for equity participation

SQL

AWS

Python

Scala

Java

Salesforce

Athena

Redshift

Snowflake

NetSuite

Senior and Expert level

Remote from US

More information about location

501-1000 employees

HealthcareB2CPersonal healthArtificial IntelligenceMedTech

Company mission

To transform lives by empowering people to reverse and prevent chronic metabolic diseases, improve energy and physical health, and extend lifespan.

Job

Company

Role

Who you are

Bachelor’s degree in computers Ince or related field
At least 8 year of overall experience building data warehouse solutions with solid data modeling skills
At least 3 years of hands-on experience in building Data Warehouses in Snowflake or Redshift
At least 4 years of experience in developing data pipelines using Python, PySpark or Scala
Experience with API design and development using RESTful and/or SOAP protocols
At least 2 years of experience creating DBT models and in a cloud, data Warehouses platform
Knowledge of advanced SQL scripting and ability to write complex queries
Experience using Rivery or new age ELT tools like Fivetran, Matillion etc
Understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
Experience working with various file formats at scale
Experience with AWS. Familiarity with AWS Athena, Glue, Data Pipeline is a plus
At least 2 years of experience with Salesforce Health Cloud, Marketing Cloud and NetSuite Schemas
Experience designing highly scalable ETL/ELT processes with complex data transformations, data formats including error handling and monitoring
Excellent analytical, problem solving, and troubleshooting skills, and solid communication skills
Strong verbal and written communication skills

What the job involves

We are seeking an experienced Data Warehouse Engineer to join our growing team to own the entire process of building a data warehouse from scratch and managing ETL pipelines, working collaboratively with internal business stakeholders and customers
Drive analysis, architecture, design, and development of Cloud based data warehouse and business intelligence solutions
Design and develop data flows and models for data warehousing and self-serve reporting
Design and build extensible data acquisition and integration solutions to meet business reporting and analytics needs
Own and develop architecture supporting the translation of analytical questions into effective reports that drive business action
Automate and optimize existing data processing workloads to integrate with the enterprise data warehouse
Understand and translate business needs into data models to support long-term, scalable, and reliable solutions
Create data models for self-serve reporting
Build data pipelines from systems such as CRM, ERP and internal applications with the emphasis on scalability and reliability
Partner with business users, senior architects, and infrastructure engineers to form complete end-to-end solutions
Drive data quality across the organization; develop best practices for standard naming conventions and coding practices to ensure consistency of data models and tracking
Prepare to respond to ad hoc reporting needs of business functions
Work in a fast-paced environment and perform effectively in a sprint based agile development environment
Collaborate with developers and analysts on technical and functional designs
Analyze query performance and perform query tuning to assist development engineers in designing and optimizing queries

Our take

Metabolic Syndrome affects over a billion people worldwide, and can massively increase the risks of heart disease and stroke. Although the root cause is known to be differences in metabolic performance, each case is so complex and unique as to stifle investigation into preventions and treatments.

Twin Health aims to combat this problem with its Whole Body Digital Twin. Leveraging AI and wearable sensors, the system creates a dynamic digital representation of the individual’s metabolism. Both patients and doctors can then use this to inform decisions about nutrition, sleep and activity that could help reverse or prevent a variety of chronic metabolic diseases.

Importantly, Twin Health's work is supported by high-quality research that has been peer-reviewed and published in leading journals. This science-first approach supports impressive results, such as over 70% of users with Type 2 diabetes reporting a remission of symptoms at 12 months into the program. 2025 funding is being used to ramp up expansion plans across Fortune 500 clients.

Steph

Company Specialist at Welcome to the Jungle

Insights

4% employee growth in 12 months

Glassdoor (4.2)

Company

Funding (last 2 of 5 rounds)

Aug 2025

$53m

SERIES E

Dec 2023

$50m

LATE VC

Total funding: $286.5m

Company benefits

High-quality medical, dental, and vision coverage
HSA/FSA plans, life insurance, and disability
401(k) for retirement
Support from licensed financial wellness advocates
Unlimited PTO
Paid parental leave for birth/adoption (16 weeks of 100% paid leave for the primary caregiver and 8 weeks for the secondary)
Access to benefits supporting overall well-being (eg. pet insurance, gym discounts)
Stipend program (100% personalized and inclusive)

Company HQ

Suburban Park–Lorelei Manor–Flood Park Triangle, Menlo Park, CA

Leadership

Jahangir Mohammed

(Co-Founder & CEO)

Founder and former CEO of Cisco Jasper and Kineto Wireless.

Terry Poon

(Co-Founder & CTO)

Former VP of Engineering at Jasper.

Maluk Mohamed

(Co-Founder & VP of Research)

Chairman and Director of the MASTeR Group of Institutions.

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