Senior Data Engineer

Senior Data Engineer

Luna Health created Sleep-Only Automation™: insulin delivery that works while you sleep and disappears when you wake. We're a venture-backed medical device startup that makes the world's smallest insulin patch pump, designed to provide nighttime glucose control for Type 1 and Type 2 diabetes insulin users who manage their days well and have made a considered choice to stay on pens. They don't need a full replacement of their chosen therapy, they need protection while they sleep.

Our founders have lived this problem as people with diabetes and as parents of children with diabetes, and they have built some of the most recognized products in the space. Now we are building the answer to a question the industry left unanswered: what do pen users need at night that no one has built yet. Sleep-Only Automation™ is it.

The Role

You will own Luna's data architecture end-to-end, reporting to the Director of Data Science. Plus at a startup you will wear multiple hats, and you will be an integral contributor (and sometimes owner) to the product concepts we explore and develop.

This role starts upstream, starting with user needs and ensuring that we're collecting the right data in the first place. You will turn clinical, regulatory, and commercial needs into concrete instrumentation specifications, work with data science, engineering, and operations to get them implemented, and then build the infrastructure that makes the resulting data useful.

The data is varied and complex. Telemetry data from embedded and mobile systems with intermittent connectivity, clinical outcomes with health implications, EDC data, evolving manufacturing and production systems. All have both commercial and regulatory implications, and several you will be building from scratch.

This is a hands-on role. You will design schemas and implement them, sit in planning conversations because your technical perspective improves the decision, and then go build what was decided. We are looking for someone who thinks architecturally, executes independently, and takes real satisfaction in building things that hold up under scrutiny.

This is an onsite/hybrid role (3+ days/week) in our San Diego office, and you must live within a reasonable commuting distance.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Responsibilities

Data modeling & instrumentation definition

Define, with the Director of Data Science, what data Luna needs to collect from the device, from manufacturing, and from business operations

Translate those requirements into instrumentation specifications and data models, and work with software engineering and operations to see them implemented correctly

Design and own the data schemas that serve analytical, regulatory, and operational consumers, making deliberate tradeoffs and documenting the reasoning behind them

Build models that accommodate and inform how the business plan will evolve

Data infrastructure & pipelines

Build and maintain transformation pipelines on Google Cloud and BigQuery that turn raw cloud data into analysis-ready datasets

Own the warehouse layer: schema implementation, versioning, access controls, and data quality monitoring

Keep lineage and transformation logic traceable to a standard that survives regulatory audit

Build and maintain integrations with clinical data sources, including EDC systems and third-party device data

Produce CDISC-compliant datasets (SDTM/ADaM) for regulatory submissions

Manufacturing & operational data

Build the data infrastructure for manufacturing as it scales: lot tracking, supply chain, process control metrics, and non-destructive testing records

Work with manufacturing and quality to determine what process data needs capturing, and build the systems that capture it reliably

Analysis & data quality

Define the data quality metrics, build the checks, and own the resolution when something looks wrong

Do the analysis when the team needs it. You will move between infrastructure and analytical work as priorities demand

Build internal tooling and documentation that makes data accessible and trustworthy for clinical, regulatory, and operational stakeholders

What You Bring

7+ years of data engineering experience with a track record of owning and delivering production data systems end-to-end

Experience understanding user needs, defining data models, and establishing instrumentation requirements upstream of pipeline development

Strong proficiency in Python and SQL. Working knowledge of cloud data platforms. We run Google Cloud, BigQuery, Firestore; orchestration tooling is a choice you’ll make

Strong data modeling skills, and the judgment to serve multiple consumers and make tradeoffs explicit

Experience working across teams (e.g., data science, engineering, operations, clinical, regulatory) to translate business and scientific requirements into specifications

Clear, direct communication with non-technical stakeholders

Nice to Have

Experience in a regulated industry (medical devices, pharma, clinical research) with working knowledge of what auditability and traceability require in practice

Familiarity with CDISC standards (SDTM/ADaM) or clinical trial data formats

Experience with EDC systems (e.g., Castor, REDCap, Medidata Rave, Veeva Vault)

Exposure to 21 CFR Part 11 requirements for electronic records and audit trails

Experience with manufacturing, supply chain, or operational data systems

Background in medical devices, diabetes technology, or digital health

MS in computer science, data engineering, biomedical informatics, or a related field

What We Offer

A no-jerk policy — we seek the best and brightest talent who are fun to work with

Equity — we are just setting off on this journey, and you will get in from the start

Excellent health benefits — we depend on it ourselves as a team that has or cares for people with diabetes

What to Expect

The first step is to apply for this job on our website. Next, we will schedule a virtual interview with the hiring manager to introduce you to the company and the role. Finally, we will invite you on-site to discuss your experience and meet the team.

We are in a hurry to find the right person – not in a hurry to hire – so we will take time getting to know you and making sure that you will be an excellent fit for the work that we are doing.

An Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Physical Demands

The physical demands described here represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Sit for extended periods of time at a keyboard and mouse

Lift and move up to 25lbs

Work in a second story office up a flight of stairs

Hearing and speaking will be required regularly

Specific vision abilities including close and distance vision, depth perception, peripheral vision, and the ability to adjust focus

To All Staffing and Recruiting Agencies

This posting is only for individuals seeking a job at Luna Health. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Luna Health does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to Luna Health. Luna Health is not responsible for any fees related to unsolicited resumes/applications.