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Senior Scientific Data Engineer
Dublin, County Dublin, Ireland
Live, first seen by us 20 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work
We are not currently providing visa sponsorship for this position
What you’ll work on
Full postingBuild bidirectional integrations between Tetra OS and customer systems like ELN, LIMS, and MES
Design data schemas and parsers for lab instrument, manufacturing, and CRO/CDMO data
Deploy and test solutions in customer environments and troubleshoot across the full stack
Own the technical relationship for a portfolio of biotech and pharma customers
Mentor junior scientific data engineers and lead internal design sessions
From the employer’s posting
design and build bidirectional integrations between Tetra OS and customer systems such as ELN, LIMS, MES, and process historians
design and build comprehensive data schemas and parsers for scientific data from R&D lab instruments, manufacturing, CRO, CDMO, ELN, and LIMS sources
Deploy and test solutions in customer environments, including cloud, on-premises, and hybrid networks, and troubleshoot across the full stack when something breaks.
Own the technical relationship, understand their scientific workflows, and deliver solutions that move their programs forward.
You will also mentor other scientific data engineers, lead internal design sessions
What you’ll bring
All qualificationsCore experience
- Expertise in Python and working knowledge of JavaScript, TypeScript, Node, React, SQL.
- Familiarity with networking, CI/CD, and full stack development.
- Familiarity with cloud engineering on AWS, including core services such as S3, Lambda, ECS, SQS, SNS, EC2, and CloudWatch.
- Familiarity with the biotech and pharmaceutical industry and regulated environments such as GxP.
- Experience working with non-clinical data and lab scientists.
- Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
Qualification wording
Expertise in Python and working knowledge of JavaScript, TypeScript, Node, React, SQL.
Familiarity with networking, CI/CD, and full stack development.
Familiarity with cloud engineering on AWS, including core services such as S3, Lambda, ECS, SQS, SNS, EC2, and CloudWatch.
Familiarity with the biotech and pharmaceutical industry and regulated environments such as GxP.
Experience working with non-clinical data and lab scientists.
Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
Benefits in the posting
Full benefits wording- Competitive Salary and equity in a fast-growing company.
- Generous paid time off (PTO).
- We are not currently providing visa sponsorship for this position
From the employer’s posting.
About TetraScience
We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 15, 202620 days ago
- Recorded sightings
- 21
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
TetraScience is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down at a usual pace
- 10% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- JavaScript
- Python
- SQL
- TypeScript
- AWS
- Databricks
- S3
- Snowflake
- React
Where the posting names them
- Demonstrated history building and delivering data products, integrations, and scientific applications as a Data Engineer or in a similar field. - Expertise in Python and working knowledge of JavaScript, TypeScript, Node, React, SQL. - Familiarity with networking, CI/CD, and full stack development.
- Act as a forward deployed engineer for a portfolio of biotech, pharmaceutical, and scientific customers. Own the technical relationship, understand their scientific workflows, and deliver solutions that move their programs forward. - Drive AI agents to design and build bidirectional integrations between Tetra OS and customer systems such as ELN, LIMS, MES, and process historians, including serverless push and pull pipelines, stateful connectors, and full stack data applications in Python and TypeScript. - Drive AI agents to design and build comprehensive data schemas and parsers for scientific data from R&D lab instruments, manufacturing, CRO, CDMO, ELN, and LIMS sources, across formats such as .xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries.
- Familiarity with networking, CI/CD, and full stack development. - Familiarity with cloud engineering on AWS, including core services such as S3, Lambda, ECS, SQS, SNS, EC2, and CloudWatch. - Familiarity with the biotech and pharmaceutical industry and regulated environments such as GxP.
About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.
Your next step
Complete your application on apply.workable.com. The employer’s form will show what is required.
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Has TetraScience posted this job before?
Yes. We’ve followed 2 other Senior Scientific Data Engineer jobs there since June 2026. All 2 are still up.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About TetraScience
TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.
In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.
What You Will Do
You will join TetraScience's forward deployed teams as a senior, hands-on engineer. In this role, you will work directly with biotech, pharmaceutical, and scientific companies, bringing advanced data and AI technologies into the labs that research, develop, and manufacture medicines. You will work alongside customer scientific, engineering, and IT teams to design, build, and ship integrations and data products on Tetra OS that serve scientific teams across the globe. You will also mentor other scientific data engineers, lead internal design sessions, and partner with Product Managers and Solution Architects to turn customer, product, and engineering objectives into commercialized solutions.
- Act as a forward deployed engineer for a portfolio of biotech, pharmaceutical, and scientific customers. Own the technical relationship, understand their scientific workflows, and deliver solutions that move their programs forward.
- Drive AI agents to design and build bidirectional integrations between Tetra OS and customer systems such as ELN, LIMS, MES, and process historians, including serverless push and pull pipelines, stateful connectors, and full stack data applications in Python and TypeScript.
- Drive AI agents to design and build comprehensive data schemas and parsers for scientific data from R&D lab instruments, manufacturing, CRO, CDMO, ELN, and LIMS sources, across formats such as .xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries.
- Deploy and test solutions in customer environments, including cloud, on-premises, and hybrid networks, and troubleshoot across the full stack when something breaks.
- Create and enforce designs with quality backed by comprehensive test automation to prove expected behaviors.
- Lead process and technology improvements supporting product quality, developer experience, and platform capabilities.
- Provide mentorship to junior scientific data engineers and show leadership on every front.
Requirements
We hire Sciborg team members with potential, passion, and values alignment, not just a checklist of requirements. If you have related skills and a desire to learn, we want to hear from you.
- Demonstrated history building and delivering data products, integrations, and scientific applications as a Data Engineer or in a similar field.
- Expertise in Python and working knowledge of JavaScript, TypeScript, Node, React, SQL.
- Familiarity with networking, CI/CD, and full stack development.
- Familiarity with cloud engineering on AWS, including core services such as S3, Lambda, ECS, SQS, SNS, EC2, and CloudWatch.
- Familiarity with the biotech and pharmaceutical industry and regulated environments such as GxP.
- Experience working with non-clinical data and lab scientists.
- Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
- History leading customer-facing implementation projects across cross-functional teams, managing requirements, timelines, and delivery outcomes.
Benefits
- Competitive Salary and equity in a fast-growing company.
- Generous paid time off (PTO).
- We are not currently providing visa sponsorship for this position
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Dublin, County Dublin, Ireland
- Drive AI agents to design and build comprehensive data schemas and parsers for scientific data from R&D lab instruments, manufacturing, CRO, CDMO, ELN, and LIMS sources, across formats such as .xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries. - Deploy and test solutions in customer environments, including cloud, on-premises, and hybrid networks, and troubleshoot across the full stack when something breaks. - Create and enforce designs with quality backed by comprehensive test automation to prove expected behaviors.
- Work authorization
- Generous paid time off (PTO). - We are not currently providing visa sponsorship for this position