Software Engineer - ML Platform

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health.

By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.

Join our Data & ML Platform organization on the Ingestion & Streaming team. We own the movement layer of Datavant's data platform: batch and streaming pipelines, change data capture, document intake, and the self-service frameworks product teams use to land new sources into Snowflake, our Iceberg-backed lakehouse, and Databricks. Most data moves into the platform; some moves back out. Our job is to make both safe, fast, observable, and boring.

This role is for an engineer who thinks like a platform builder first. We are shifting from a service-oriented posture ("we'll build the pipeline for you") to a platform-oriented one ("here is the paved path to build it yourself, safely"), though the team still builds pipelines directly when the situation calls for it. You will be central to that shift, designing the frameworks, tooling, and guardrails that scale how Datavant onboards new sources, and rolling up your sleeves for hands-on ingestion work when there isn't yet a paved path. AI fluency is a baseline expectation here. You should already be using Claude Code, Cursor, Copilot, or equivalent tools as a core part of your daily engineering workflow, have opinions about how they make a team faster, and know how to apply them responsibly when PHI and other sensitive data are in scope.

What You Will Do:

Build and operate the MLOps infrastructure and pipelines

- Spark, Python, Databricks

Build and maintain a self-service path to supercharge our data science team's capabilities

Automate CI/CD for model training, testing, validation, and deployment

Wire up monitoring, logging, and alerting for model performance, data drift, and system health

Tune ML workflows for cost, performance, scale

Keep the lifecycle secure and compliant

Set the bar on MLOps and deployment practice for the teams who build on us

Own troubleshooting and incident response across pipelines, infrastructure, and deployments - and turn each incident into a fix that sticks

What you will bring to the table:

2+ years in MLOps, software engineering, DevOps, or a related role

A real grasp of ML concepts and frameworks - MLflow, TensorFlow, PyTorch, scikit-learn

Hands-on big data work with Apache Spark

A major cloud (AWS preferred; Azure or GCP fine) and its ML services - SageMaker, Azure Machine Learning, or Vertex AI

Comfort with infrastructure-as-code (Terraform or equivalent) and containers (Docker, Kubernetes) for production ML workloads

Solid CI/CD discipline in Git / GitHub or equivalent - GitHub Actions, Jenkins, GitLab CI, whatever you've used

Strong Python

An AI-native working style: daily use of Claude Code, Cursor, Copilot, or equivalent, and a point of view on them

The ability to debug complex problems in distributed systems without flailing

Strong written and verbal communication skills, especially async and remote

Bonus points for:

Hands-on Databricks, ideally with IaC or deployment automation

Productionizing large NLP or LLM models

Real-time streaming (Kafka) and workflow orchestration (Airflow)

A degree in Computer Science, Engineering, Mathematics, Statistics, or similar - nice, not required

Prior experience in healthcare or another highly regulated industry like Finance

Prior SRE, DRE, or MLE work keeping production ML alive under pressure

Join Our Team at Datavant Ireland – A Galway-Based R&D Technology Center

Datavant Ireland is an innovative R&D technology center based in Galway, dedicated to solving complex technology challenges with a purpose. We are looking for talented technical professionals who are product-minded and eager to make an impact. If you are passionate about developing cutting-edge solutions and want to be part of a growing team, we invite you to explore the exciting career opportunities at Datavant.

Careers at Datavant offer the opportunity to apply your technology and problem-solving skills toward a vision that every healthcare decision is powered by the right data, at the right time, in the right format. We're looking for problem-solvers, game-changers, innovators, dreamers, doers - people who are ready to move the needle and build on our success.

We provide team members with a robust total compensation package that includes:

Competitive, equitable salary.

Comprehensive benefits.

Pension contribution.

Flexible, Hybrid work environment.

We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive.

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