Motion Recruitment Partners LLC
Senior Embedded Engineer (aerospace!)
Motion Recruitment Partners LLC, Carlsbad, California, United States, 92002
An emerging health-tech company based in Carlsbad is redefining how individuals connect to mental health and recovery services. Focused on making care more accessible and transparent, theyve developed a secure platform that simplifies the coordination process between care seekers and trusted providers. Their client base spans school systems, government bodies, and national organizations, all relying on their data-driven approach to streamline care pathways.
Theyre currently hiring a
Senior Data Engineer
to lead the modernization of their data systems. In this role, youll enhance backend infrastructure, refactor legacy schemas, and develop pipelines that support both analytics and operational workflows. Youll be a key player in scaling their data capabilities to support AI initiatives and improve delivery efficiency across a mission-critical platform.
Must be able to go onsite in Carlsbad 3x a week Required Skills & Experience
4+ years of experience as a Data Engineer or in a similar technical role
Strong expertise with
PostgreSQL , including schema design, performance optimization, and managing large-scale relational data
Proficiency with
Python
and experience working with
SQL
in data transformation and automation workflows
Familiarity with orchestration frameworks such as
Airflow
or
DBT
Experience working in a
Django-based
backend environment
Exposure to CI/CD for data systems and a basic understanding of observability/monitoring tools
Understanding of real-time data systems and familiarity with
streaming technologies
(e.g., Kafka)
What You Will Be Doing
Tech Breakdown: 100% Data Engineering (Python, SQL, Django, Airflow)
Daily Responsibilities: Redesign and optimize the companys PostgreSQL schema to ensure high performance and maintainability
Overhaul and stabilize ETL/ELT pipelines to improve reliability and enable modular development
Build scalable batch and real-time data flows to support internal teams and product features
Implement CI/CD pipelines to streamline deployments and testing across the data stack
Create robust, accessible datasets to support dashboards, analytics, and AI tools
Improve data validation processes to ensure consistent and clean inputs across the platform
Collaborate with platform engineers to integrate data logic into the existing Django-based system
Document systems and promote transparency in pipeline operations and architecture
The Offer:
Competitive compensation package
Medical, Dental, and Vision coverage
Unlimited PTO policy
Meaningful mission-driven work with national reach
Applicants must be authorized to work in the U.S. without sponsorship now and in the future. #J-18808-Ljbffr
Senior Data Engineer
to lead the modernization of their data systems. In this role, youll enhance backend infrastructure, refactor legacy schemas, and develop pipelines that support both analytics and operational workflows. Youll be a key player in scaling their data capabilities to support AI initiatives and improve delivery efficiency across a mission-critical platform.
Must be able to go onsite in Carlsbad 3x a week Required Skills & Experience
4+ years of experience as a Data Engineer or in a similar technical role
Strong expertise with
PostgreSQL , including schema design, performance optimization, and managing large-scale relational data
Proficiency with
Python
and experience working with
SQL
in data transformation and automation workflows
Familiarity with orchestration frameworks such as
Airflow
or
DBT
Experience working in a
Django-based
backend environment
Exposure to CI/CD for data systems and a basic understanding of observability/monitoring tools
Understanding of real-time data systems and familiarity with
streaming technologies
(e.g., Kafka)
What You Will Be Doing
Tech Breakdown: 100% Data Engineering (Python, SQL, Django, Airflow)
Daily Responsibilities: Redesign and optimize the companys PostgreSQL schema to ensure high performance and maintainability
Overhaul and stabilize ETL/ELT pipelines to improve reliability and enable modular development
Build scalable batch and real-time data flows to support internal teams and product features
Implement CI/CD pipelines to streamline deployments and testing across the data stack
Create robust, accessible datasets to support dashboards, analytics, and AI tools
Improve data validation processes to ensure consistent and clean inputs across the platform
Collaborate with platform engineers to integrate data logic into the existing Django-based system
Document systems and promote transparency in pipeline operations and architecture
The Offer:
Competitive compensation package
Medical, Dental, and Vision coverage
Unlimited PTO policy
Meaningful mission-driven work with national reach
Applicants must be authorized to work in the U.S. without sponsorship now and in the future. #J-18808-Ljbffr