Senior Data Engineer

Luna Diabetes; San Diego (CA); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

No-jerk culture

Equity

Excellent health benefits

Job summary

Luna Health is seeking a Senior Data Engineer to own data architecture end-to-end, reporting to the Director of Data Science. You will translate clinical, regulatory, and commercial needs into instrumentation specifications, build scalable data models, and implement robust pipelines on Google Cloud.

The role is onsite/hybrid in San Diego, with 3+ days/week in the office. You will collaborate across data science, engineering, operations, and regulatory teams to ensure data quality and regulatory

Qualifications

• 7+ years of data engineering experience
• Strong proficiency in Python and SQL
• Working knowledge of cloud data platforms (Google Cloud, BigQuery, Firestore)
• Experience translating business and scientific needs into data models and instrumentation
• Ability to work across teams to translate requirements into specifications

Responsibilities

• Data modeling & instrumentation definition: define data needs and translate into data models and specs
• Data infrastructure & pipelines: build and maintain transformation pipelines on Google Cloud and BigQuery; own warehouse schema, versioning and data quality
• Manufacturing & operational data: build infrastructure for manufacturing data, lot tracking, supply chain and process metrics
• Analysis & data quality: define data quality metrics, implement checks, support regulatory and operational stakeholders

Skills

Python

SQL

Cross-functional collaboration

Communication

Cloud data platforms

Education

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

Tools

Google Cloud

BigQuery

Firestore

Job description

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 wrongDo 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

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