Senior Data Engineer at Tendo

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, SoftwareIndustries

Requirements

Candidates should possess 5+ years of experience in data engineering, with extensive experience in designing, building, and maintaining data ETL pipelines. A strong command of Python or Scala for data processing, experience with Apache Spark (PySpark or Scala), and proficiency in the AWS technology stack (S3, Glue, Athena, EMR) are essential. The role requires experience with data and entity relationship modeling to support 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. 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 foundational understanding of data privacy and security principles. A proactive mindset towards exploring emerging technologies in AI and data science for innovation, and an interest or experience in AI/ML applications, including support for model development or deployment workflows, are also required.

Responsibilities

The Senior Data Engineer will ingest, transform, and warehouse healthcare-related data from various sources. They will collaborate 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, as well as optimizing data infrastructure and processes for performance and scalability. The role also involves collaborating with Data Scientists and Business Intelligence Analysts to ensure efficient data processing and analysis, developing and maintaining data documentation and data lineage, and staying current with emerging technologies and industry trends in data engineering.

Skills

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