Principal Data Engineer at Tendo

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, SoftwareIndustries

Requirements

Candidates should possess 7+ years of experience in data engineering, with extensive knowledge of designing, building, and maintaining data ETL pipelines. A strong proficiency in Python or Scala for data processing, experience with Apache Spark (PySpark or Scala), and familiarity with the AWS technology stack (S3, Glue, Athena, EMR) are essential. The role requires experience in data and entity relationship modeling for data warehouses and analytics solutions, a deep understanding of relational and non-relational databases (SQL/NOSQL), and comfort working with unstructured and semi-structured data, including web scraping. Experience in a professional software environment utilizing source control (git), issue tracking (JIRA, Confluence), continuous integration, code reviews, and agile development processes (Scrum/Lean) is necessary, along with a basic understanding of data privacy and security principles. A demonstrated interest or experience in AI/ML applications, including support for model development or deployment workflows, and a proactive mindset towards exploring emerging technologies in AI and data science for innovation are also required.

Responsibilities

The Principal Data Engineer will ingest, transform, and warehouse healthcare-related data from various sources, collaborating with Data Scientists, Product Managers, and Machine Learning Engineers to produce quality data flows and transformations that support advanced analytics and AI/ML model development. Responsibilities include developing tools and solutions for data integration, data warehousing, and data modeling to enable experimentation and machine learning model training. The role involves collaborating with Data Scientists and Business Intelligence Analysts to ensure efficient data processing and analysis, optimizing data infrastructure and processes for performance and scalability, and developing and maintaining data documentation and lineage. Additionally, the Principal Data Engineer will stay current with emerging technologies and industry trends related to data engineering.

Skills

Data Engineering

Data Modeling

Data Warehousing

ETL Pipelines

Database Design

Software Engineering

AI/ML

Data Integration

Tendo

Soft exoskeleton gloves for grip assistance

About Tendo

Tendo develops a soft exoskeleton in the form of a robotic glove that helps users grip and release objects more easily. This glove is designed for individuals who may need extra strength and dexterity, such as those with physical disabilities or older adults. It operates using intelligent sensors that provide artificial strength, allowing users to perform daily tasks with greater independence. Unlike other assistive devices, Tendo's glove focuses on enhancing the functionality of one or two fingers, making it lightweight and easy to wear. The company stands out by directly selling to consumers and partnering with healthcare providers, aiming to improve the quality of life for its users. Tendo's goal is to empower individuals by providing practical solutions that enhance their daily living.

Lund Municipality, SwedenHeadquarters

2020Year Founded

$353.1KTotal Funding

EARLY_VCCompany Stage

Robotics & Automation, HealthcareIndustries

1-10Employees