---
title: 'Staff Data Engineer | Luma (MEX) at Dotmatics'
canonical: 'https://feeny.ai/job/staff-data-engineer-luma-mex-dotmatics-mexico-city-ciudad-de-mexico-2qwhfac597fx'
type: 'job'
last_seen: '2026-11-05'
---

# Staff Data Engineer | Luma (MEX) at Dotmatics

- **Company:** Dotmatics
- **Location:** Mexico City Ciudad de México, Mexico
- **Work type:** remote
- **Posted:** 2026-11-03
- **Last confirmed live:** 2026-11-05
- **Apply:** https://www.dotmatics.com/jobs/apply?gh_jid=4749445005

## Job description

Our Why At Dotmatics

At Dotmatics, a Siemens company,  we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, SoftGenetics and Virscidian.

We have a vision for a new Lab of the Future that will change the future of scientific research.

We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making.

Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now.

Shaping the Future of Science At Dotmatics

Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live.

You’ll join a collaborative, global team pushing the boundaries of scientific innovation.  Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform. We need your help to keep growing and pioneering the future.

We are Science Driven. We are Customer Centric. We are Better Together.

What do we Need:

As a Staff Software Engineer, you will be the technical lead for the data processing and execution platform - a set of services that take user-initiated operations (data commits, transformations, workflows) and execute them reliably across shared compute infrastructure. This is a distributed, event-driven system with multiple services coordinating through asynchronous message passing.

This is no ordinary engineering role - this is working on a product with real world meaning - a product that helps define the way scientists works, helping bring medicine to market quicker, finding cures for diseases faster This is LUMA

You're not maintaining a system in steady state. You're taking a complex, production-proven execution platform and leading its evolution - migrating to a new tech stack while keeping it running reliably for customers doing drug discovery. The system processes real scientific data through multi-step pipelines on shared compute infrastructure, with all the distributed systems challenges that implies: multi-tenancy, cancellation, crash recovery, and coordinating state across multiple data stores. If you enjoy understanding how complex systems actually work, regardless of what language they happen to be written in, and then making them better - this is the role.

In this role, you will:

- Define and drive system architecture for event-driven data processing services, leading the migration of key components to a Node.js/TypeScript and Python ecosystem
- Contribute to and improve engineering standards, patterns, and best practices for distributed systems, observability, and reliability across a multi-service platform coordinated through Kafka, GraphQL and RESTful APIs
- Architect and implement asynchronous data processing pipelines for high-volume scientific data, with attention to at-least-once delivery guarantees, backpressure, and graceful degradation
- Guarantee the scalability, maintainability, and security of software solutions running on Kubernetes and AWS
- Take ownership of existing services, develop a deep understanding of their behavior, and make pragmatic decisions about how to evolve them

We are looking for candidates with 12+ years of engineering experience, preferably in a SaaS environment, ideally with a degree in Computer Science, Software Engineering, or equivalent. Excellent written and spoken English communication skills are essential.

The Key Skills we are looking for:

- Excellent written and spoken English communication skills, with the ability to collaborate effectively across globally distributed engineering and product teams.
- Language-agnostic engineering mindset - you pick up new languages and codebases quickly, reason about distributed system design independent of any single runtime, and can be productive in an unfamiliar stack within weeks
- Advanced working experience in Asynchronous processing
- Strong proficiency in Node.js/TypeScript and Python for building production backend services
- Proven experience designing and implementing distributed, event-driven systems coordinated through message buses, GraphQL and RESTful APIs
- Experience implementing automated testing platforms, unit tests, and integration tests
- Advanced working experience with large data processing platforms such as Spark, Databricks, or Snowflake
- Experience managing state across multiple stores (e.g. a message bus, a relational database, and a cache) and the consistency challenges that come with it
- Hands-on experience with AWS in production environments and a solid understanding of Kubernetes for orchestrating workloads
- Proficiency with CI/CD tools such as GitHub Actions
- Knowledge of Agile software development practices
- Setting technical direction, leading cross-team initiatives, and leveling up other engineers through mentoring and architectural guidance

You may also have experience in:

- Scala or other JVM languages (helpful for understanding existing services during migration)
- Message-based architectures using Kafka (consumer groups, partitioning, delivery semantics)
- Background in complex data pipelines, schema management, and incremental processing
- Exposure to AWS and/or GCP or designing systems portable across multiple cloud providers
- Building scalable distributed systems using Kubernetes and other cloud-native technologies
- Experience within Life Sciences or R&D data management

Research shows us the[confidence gap](https://www.theatlantic.com/magazine/archive/2014/05/the-confidence-gap/359815/) and imposter syndrome can get in the way of meeting outstanding candidates, so please don’t hesitate to apply — we’d love to hear from you.

By submitting your application, you agree that Dotmatics may collect your personal data for recruiting, global organization planning, and related purposes. Dotmatics [Privacy Notice](https://www.dotmatics.com/privacy-policy) explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over Dotmatics use of your personal information.

Dotmatics is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.

## About Dotmatics

## Company Overview
- **One-liner**: Dotmatics provides a cloud‑based scientific R&D platform that connects best‑in‑breed software applications to accelerate research and innovation.
- **Entity Type**: Private (wholly owned subsidiary of Siemens AG following a $5.1 billion acquisition completed July 1, 2025)
- **Headquarters**: Boston, Massachusetts, United States
- **Founded**: 2005
- **Founders**: Stephen Gallagher, Alastair Hill

## Core Business
- **Primary industry**: Scientific R&D software for life sciences, biopharma, clinical research, and academia.
- **Target customers**: B2B – biopharma companies, contract research organizations (CROs), academic institutions, and forensic/genetic testing labs.
- **Mission**: “To accelerate scientific innovation and help make the world a healthier, cleaner, and safer place to live.”

## Products & Services
- **Dotmatics Platform**: Cloud‑based enterprise data management platform that harmonizes data from instruments and software for AI‑ready analysis.
- **Luma Agent**: Agentic AI assistant that plans, executes, and documents research workflows, from data query to audit‑ready reports.
- **GraphPad Prism**: Widely used statistical analysis and graphing software for scientists.
- **SnapGene**: Molecular biology visualization and cloning software with detailed documentation.
- **Geneious Suite**: Bioinformatics tools for molecular biology, genomics, and antibody screening.
- **LabArchives**: Electronic lab notebook for capturing and collaborating on experimental data.
- **Other Applications**: OMIQ (flow cytometry), Protein Metrics, nQuery, SoftGenetics (clinical/forensic genetics), and M‑Star.

## Market Standing
- **Valuation/Market Cap**: Acquired by Siemens AG for $5.1 billion (announced April 2025, closed July 2025)
- **Key Metric**: 2 million+ users, 10,000+ customers, 800+ employees (LinkedIn data: 364 employees as of mid‑2025, with 4.7% YoY growth)
- **Notable Investors/Partners**: Insight Partners (lead prior to acquisition), Siemens (current parent); customers include Illumina, GSK, Waters Corporation, and PerkinElmer.
- **Growth Signals**: Launch of Luma AI agent; acquisition of SoftGenetics expanding into clinical and forensic markets; 20%+ LinkedIn follower growth; 65% average NPS score.

## Competitive Advantages
- **Ecosystem play**: Open platform that unites multiple industry‑leading scientific applications (GraphPad Prism, SnapGene, Geneious) with a data‑driven backbone.
- **AI leadership**: Luma Agent provides end‑to‑end automation with full traceability, a key differentiator in the lab‑of‑the‑future space.
- **Siemens backing**: Access to global industrial reach, resources, and digital infrastructure after acquisition.
- **User base loyalty**: 2 million active scientists across 180+ countries; strong brand recognition in academia and biopharma.

## Strategic Focus
- Transitioning to an AI‑native "Lab of the Future" with Luma Agent as the central orchestrator.
- Expanding into clinical and forensic genetic analysis via recent acquisitions.
- Deepening integration with Siemens’ digital industry portfolio to offer end‑to‑end R&D solutions.
- Continuing to build a multimodal science platform that structures data for AI/ML applications.

## Why Work Here
- **Culture**: “Science Driven, Customer Centric, Better Together” – built by scientists for scientists.
- **Work model**: Remote‑friendly with hubs in Boston, UK (Bishop’s Stortford), San Diego, Auckland, Tokyo, Cork, and others.
- **Employee ratings**: 4.1/5 on LinkedIn (work‑life 4.2, culture 3.9, compensation 3.8, career 3.7).
- **Engineering roles**: Senior Full Stack Engineer (Node.js), Staff Data Engineer, Senior Data Analytics Engineer, Performance Test Engineer.
- **Impact**: Work on products used by millions of researchers globally, with the opportunity to shape AI‑driven scientific discovery.

## Sources
1. [dotmatics.com](https://www.dotmatics.com/) – Main site, product overview, Luma Agent details.
2. [dotmatics.com/about-us](https://www.dotmatics.com/about-us) – Mission, vision, company history, acquisition by Siemens.
3. [dotmatics.com/about-careers](https://www.dotmatics.com/about-careers) – Culture, remote/hybrid policy, 800+ employees, global hubs.
4. [linkedin.com/company/dotmatics](https://www.linkedin.com/company/dotmatics) – Employee count, revenue, funding, acquisitions, recent departures, job postings.
5. [dotmatics.com/jobs](https://www.dotmatics.com/jobs) – Current open positions.

## Other roles at Dotmatics

- [Pre-sales Engineer - Japan | Luma](https://feeny.ai/job/pre-sales-engineer-japan-luma-dotmatics-japan-ddj5he482ey4) — Japan
- [Sales Manager | India](https://feeny.ai/job/sales-manager-india-dotmatics-chennai-pkkk28d4c0eg) — Chennai, India
- [Lead Validation Engineer | Luma](https://feeny.ai/job/lead-validation-engineer-luma-dotmatics-ireland-eakeh97mqxdx) — Ireland
- [Lead Validation Engineer | Luma](https://feeny.ai/job/lead-validation-engineer-luma-dotmatics-united-kingdom-g67esrs28drt) — United Kingdom
- [Pre-sales Engineer, Chemistry | Luma](https://feeny.ai/job/pre-sales-engineer-chemistry-luma-dotmatics-chennai-xdj41t4bs4q3) — Chennai, India
- [Software Engineer, Agentic AI](https://feeny.ai/job/software-engineer-agentic-ai-dotmatics-boston-45ahc51smrzs) — Boston, MA
- [Director, Market Growth Strategy, Molecule to Market (Lab Automation)](https://feeny.ai/job/director-market-growth-strategy-molecule-to-market-lab-automation-dotmatics-d4ka19t4jsym) — United Kingdom
- [Director, Market Growth Strategy, Molecule to Market (CMC)](https://feeny.ai/job/director-market-growth-strategy-molecule-to-market-cmc-dotmatics-united-states-hmsvmtpkdktr) — United States
- [Director, Market Growth Strategy, Molecule to Market (Biologics)](https://feeny.ai/job/director-market-growth-strategy-molecule-to-market-biologics-dotmatics-united-t438gy6fbg2m) — United States
- [Sales Account Manager | Protein Metrics](https://feeny.ai/job/sales-account-manager-protein-metrics-dotmatics-germany-v8vpkvhr62f9) — Germany