# Sr. Data Engineer at Prolaio > United States · Senior · Data engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Aprolaio%3A5448362008 (read 2026-11-06). ## Facts (observed) - Company: [Prolaio](https://alderhq.app/companies/prolaio) - Location text: Chicago, IL; Chicago Office - Where it can be done from (inferred): United States (evidence: "Location: Chicago, IL; Chicago Office") - Posted: 2026-10-16 (21 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-03 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/prolaio/jobs/5448362008 - Skills listed (inferred): Python, AWS, GCP, Azure, Docker, Airflow, dbt, SQL ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (Chicago, n 15): p25 $136k, median $175k, p75 $200k ## Description (the employer's text) Who Are We? 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aprolaio%3A5448362008 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.