Senior Data Engineer – Hardware & Supply Chain

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 159,000 - 203,000; Full time

Benefits offered by this job

Competitive salary and equity packages

Health, dental, vision insurance, and

Job summary

United States Digital Space LLC in San Francisco is seeking a Senior Data Engineer – Hardware & Supply Chain (Manufacturing) to design and scale data infrastructure powering hardware manufacturing operations, including device yield, traceability, quality metrics, and supply chain data.

You will own end-to-end pipelines, model production data for Operations, Hardware, and Supply Chain teams, integrate MES/ERP data, and build reliable, compliant, and scalable lakehouse solutions using Databricks,

Qualifications

• 5+ years of experience in data engineering, with exposure to manufacturing, operations, or supply chain data.
• Strong SQL and Python skills with a track record of building reliable production pipelines.
• Experience integrating data from manufacturing systems — MES, ERP (e.g., SAP, Oracle), factory IoT, or supply chain platforms.
• Ability to model manufacturing data: production lots, device traceability, yield events, and supply chain transactions.
• Experience running production data systems on AWS or equivalent cloud.
• Self-motivated, pragmatic, and able to manage your own work in a distributed team.
• Ability to collaborate effectively with Hardware and Operations stakeholders who may not have a data background.

Responsibilities

• Design, build, and maintain data pipelines that ingest and process manufacturing data from the company's hardware production processes — including device yield, assembly, traceability, and supply chain events.
• Build data models that give Operations, Hardware, and Supply Chain teams reliable, timely visibility into production performance and supply health.
• Integrate data from manufacturing execution systems (MES), ERP/supply chain platforms, and factory data sources into the company's lakehouse.
• Own end-to-end data quality and reliability for Hardware/SC data — from factory ingestion to analytics-ready tables.
• Partner closely with Hardware Engineering, Operations, and Quality teams to understand data needs and deliver scalable data products.
• Ensure manufacturing data systems meet security, compliance, and data governance requirements.
• Contribute to reducing single-point-of-failure risk in Hardware data infrastructure.

Skills

SQL

Python

Data pipelines

Manufacturing data

AWS

Cross-functional collaboration

Tools

Databricks

Apache Iceberg

dbt

SAP

Oracle

Job description

Our mission at the company is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their the company Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.

We are looking for a Senior Data Engineer – Hardware & Supply Chain (Manufacturing) to join our Data Engineering & Analytics team. Your primary focus will be building the data infrastructure that powers the company's hardware manufacturing operations — including production yield, device traceability, quality metrics, and supply chain data. the company's hardware data is growing rapidly and is currently supported by a single engineer, creating significant risk and limiting our ability to scale. While HW/SC Manufacturing data engineering is your core domain, we expect and actively support team members growing into adjacent areas — such as quality testing analytics, firmware data, or broader platform engineering — as the team evolves.

What you will do:Primary Focus – Hardware & Manufacturing Data Engineering

• Design, build, and maintain data pipelines that ingest and process manufacturing data from the company's hardware production processes — including device yield, assembly, traceability, and supply chain events.

• Build data models that give Operations, Hardware, and Supply Chain teams reliable, timely visibility into production performance and supply health.

• Integrate data from manufacturing execution systems (MES), ERP/supply chain platforms, and factory data sources into the company's lakehouse.

• Own end-to-end data quality and reliability for Hardware/SC data — from factory ingestion to analytics-ready tables.

• Partner closely with Hardware Engineering, Operations, and Quality teams to understand data needs and deliver scalable data products.

• Ensure manufacturing data systems meet security, compliance, and data governance requirements.

• Contribute to reducing single-point-of-failure risk in Hardware data infrastructure.

Cross-functional Growth Areas (expected over time)

• Expand data engineering support to Quality Testing and firmware data domains

• Contribute to broader lakehouse architecture using Apache Iceberg, Databricks, and dbt.

• Support the Data Mesh initiative by establishing HW/SC as an owned data domain.

We would love to have you on our team if you have:

• 5+ years of experience in data engineering, with exposure to manufacturing, operations, or supply chain data.

• Strong SQL and Python skills with a track record of building reliable production pipelines.

• Experience integrating data from manufacturing systems — MES, ERP (e.g., SAP, Oracle), factory IoT, or supply chain platforms.

• Ability to model manufacturing data: production lots, device traceability, yield events, and supply chain transactions.

• Experience running production data systems on AWS or equivalent cloud.

• Self-motivated, pragmatic, and able to manage your own work in a distributed team.

• Ability to collaborate effectively with Hardware and Operations stakeholders who may not have a data background.

What Makes You Stand Out

• Hands-on experience with hardware manufacturing data at a consumer electronics or IoT company.

• Experience with device traceability, serialized manufacturing, or supply chain event modeling.

• Familiarity with Databricks, Apache Iceberg, or dbt.

• Exposure to Quality Testing data systems or firmware/device telemetry data.

Benefits

At the company, we care about you and your well-being. Everyone here at the company has a ring of their own and we are continually looking to improve employee health. What we offer:

• Competitive salary and equity packages

• Health, dental, vision insurance, and mental health resources

• An the company Ring of your own plus employee discounts for friends & family

• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off

• Paid sick leave and parental leave

the company is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees.

• Region 1 $172,550- $203,000

• Region 2 $158,950- $187,000

• Region 3 $147,900- $174,000

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)

the company is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at the company are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.