Sr. Data Engineer

Prolaio; Chicago (IL); On-site; USD 135,000 - 165,000; Full time

Benefits offered by this job

Competitive salary

Equity

Health coverage

HSA/FSA

Generous PTO

Parental leave

401(k)

Telehealth options

Job summary

Prolaio is building a data ecosystem for precision cardiology in a regulated environment. The Senior Data Engineer will design, implement, and operate batch, streaming, and hybrid pipelines, collaborating with data science and clinical teams.

You will drive platform standards and governance with the data arch"itecture team. You will own CI/CD for the data platform (GitLab CI), craft robust tests, and advance data quality, lineage, and ML enablement while mentoring colleagues and controlling

Qualifications

• 6+ years in data engineering.
• Expert Python and SQL.
• Experience with cloud platforms (GCP, AWS or Azure).
• Production experience with dbt, including modeling and testing.
• Experience with BigQuery or comparable cloud data warehouse (Databricks, Redshift).
• Experience with Dagster or a comparable orchestrator (Airflow, Prefect).
• Experience with Docker and large-scale data processing.
• Experience with structured, semi-structured, and unstructured data, including time-series data.
• Understanding of MLOps concepts and production ML workflows.
• Experience collaborating with data scientists, product, and clinical or quality stakeholders.

Responsibilities

• Design, build, and run data pipelines in a regulated environment.
• Work closely with data science/clinical teams and the Data Architect on standards and governance.
• Own CI/CD for the data platform using GitLab CI, including dbt and Dagster deployments.
• Monitor pipeline health and BigQuery cost with Datadog and participate in incident response.
• Mentor other engineers and help set engineering standards for the data team.
• Enable data science by providing tools and processes for experimentation and iteration.

Skills

Python

SQL

GCP/AWS/Azure

MLOps concepts

Tools

Dagster

dbt

BigQuery

Databricks

Redshift

Airflow

Docker

Kubernetes

Job description

Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.

This is precision cardiology, and we know it's within reach.

What Will You Do?

The Overview

As a Senior Data Engineer, you will design, build, and run that pipeline in a regulated environment. You will work closely with the data science/clinical teams, which owns the medical and research questions. You will also work with the Data Architect on platform standards, data models, and governance.

The Specifics

Build and Evolve the Data Platform (Prolaio Data Ecosystem)

• Design, build, and maintain batch, streaming, and hybrid pipelines orchestrated with Dagster. These cover ingestion, validation, transformation, enrichment, and publishing of the data.
• Develop and maintain dbt models in BigQuery, including staging, intermediate, and mart layers, with tests, documentation, and clear ownership.
• Ingest and normalize heterogeneous sources (both structured and unstructured data), including cardiology wearables and device signals, EHR, claims, medication, and patient-reported data.
• Make well-reasoned decisions about storage, compute, partitioning, cost, and APIs, and contribute to the target-state architecture and the reference patterns.

Data Quality, Lineage, and Compliance

• Contribute to data lifecycle controls into pipelines: retention, access control, lineage, provenance, reproducibility, and auditability.
• Use Dagster assets and dbt lineage to keep data traceable from source to output.
• Support validated operation in a regulated setting by documenting pipelines, keeping traceability, and working with Quality and Security teams.
• Back every pipeline change with thorough automated tests and data quality checks.

Enable Data Science and ML

• Treat data scientists as your customers, and give them the tools and processes to experiment and iterate efficiently.
• Contribute to the ML workflows that support feature generation, training, deployment, and monitoring.
• Contribute to internal applications and Python libraries

Operate and Monitor

• Own CI/CD for the data platform using GitLab CI, including dbt and Dagster deployments.
• Help monitoring pipeline health, performance, and BigQuery cost with Datadog, and take part in incident response.
• Help mentoring other engineers and setting engineering standards for the data team.

Why Prolaio?

• Impactful Work: You will join in the fight against heart failure (HF) and hypertrophic cardiomyopathy (HCM) with the goal of extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology.
• Innovative Environment: You will be part of an organization doing something that’s never been done before.
• Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.
• Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.

Who You Are?

• 6+ years in data engineering
• Expert Python and SQL
• Experience with GCP (or AWS/Azure)
• Production experience with dbt, including modeling, testing, macros, and incremental models.
• Experience with BigQuery or a comparable cloud data warehouse (Databricks, Redshift).
• Experience with Dagster or a comparable orchestrator (Airflow, Prefect).
• Experience with Docker and large-scale data processing.
• Experience with structured, semi-structured, and unstructured data, including time-series data.
• Understanding of MLOps concepts and production ML workflows.
• Experience collaborating with data scientists, product, and clinical or quality stakeholders.
• Experience with Docker and Kubernetes.

Additional Qualifications (Nice to Haves)

• Hands-on GCP experience (IAM, Cloud Storage, Cloud Run, Pub/Sub, networking).
• Infrastructure as code with Terraform
• Experience with Datadog
• Metadata, lineage, and catalog tools, plus retrieval or vector tooling for AI use cases.
• Experience with Databricks
• Experience working with healthcare, life sciences, medtech, or other patient data.
• Experience in regulated or validated environments (SaMD, FDA, GxP, HIPAA).
• Streaming tools such as Pub/Sub or Kafka.

Why You'll Love Working Here

• Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build.
• Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions.
• Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.
• Time to Recharge: Generous paid time off, sick leave, and company holidays.
• Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families.
• Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
• Plan for the Future: 401(k) plan to help you build long-term financial security.
• Care When You Need It: Easy access to telehealth and optional supplemental coverage for life’s unexpected moments.

Starting Salary is at $150,000.00 (Exact Compensation may vary based on skills, experience, and location)

As set forth in Prolaio's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

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