Staff Data Engineer

exacare ai; Canada; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Equity

Flexible PTO

Medical coverage

Off-sites

Strong team

Job summary

exacare ai is a leading healthtech company building the AI operating system for post-acute care. We’re hiring a Staff Data Engineer who owns data initiatives end-to-end, from design through production, to support product, analytics, and ML workflows.

You’ll design scalable pipelines, data models, and observability practices across healthcare data sources, APIs, and integrations, partnering with teams to deliver reliable, actionable insights while maintaining privacy and security.

Qualifications

• 7+ years of engineering experience focused on data engineering, data platforms, or backend systems with heavy data processing.
• Strong proficiency with SQL and TypeScript, building production pipelines and handling complex datasets.
• Experience designing ETL/ELT pipelines, data models, and orchestration workflows with dependencies, retries, and schema evolution.
• Strong fundamentals in relational databases, data warehouses, and cloud infrastructure with performance and scalability focus.
• Ability to own production data systems end-to-end from design to rollout and support.

Responsibilities

• Own data initiatives end-to-end, from design through production rollout and ongoing operation.
• Build reliable data pipelines across databases, APIs, third-party integrations, and healthcare data sources.
• Connect data architecture to customer and internal workflows for usable information.
• Design reusable data models and shared definitions to support product features, reporting, and ML.
• Ensure data quality, monitoring, validation, and recovery inside pipelines.
• Collaborate with product, operations, platform, ML, and other engineers to translate business needs into data solutions.

Skills

SQL

TypeScript

Data pipelines

ETL/ELT

Data modeling

Tools

Databricks

dbt

Airflow

Dagster

Spark

Job description

exacare ai is a leading healthtech company on a mission to build the AI operating system for post-acute care. Our platform connects referral sources, admissions workflows, and reimbursement systems so teams can review documentation, evaluate patients, and act quickly and confidently. Today, exacare ai powers more than 2,500 post-acute facilities / agencies.

Backed by a $30M Series A led by Insight Partners, we’re bringing world-class talent together to transform healthcare. If you like building, learning, and making a real impact, come join us!

About The Role

We’re looking for a Staff Data Engineer who thrives in an environment with strong ownership and can drive complex data initiatives from concept to production. You’ll build the pipelines, data models, and infrastructure that power our product, analytics, and AI workflows; turning complex healthcare data into reliable, usable foundations for our teams and customers.

What You’ll Do

• Own data initiatives end-to-end: Take a data problem through technical design, implementation, validation, production rollout, and ongoing operation, without requiring constant senior oversight.
• Build reliable data pipelines: Design and maintain scalable ingestion and transformation pipelines across application databases, APIs, third-party integrations, and healthcare data sources.
• Bring systems-to-workflow thinking: Connect data architecture, models, and integrations to how customers, operators, and internal teams use the resulting information.
• Design reusable data models: Create well-structured datasets and shared definitions that support product features, reporting, analytics, and machine learning.
• Own data quality and production readiness: Build validation, monitoring, alerting, and recovery into pipelines so teams can trust the accuracy, freshness, and completeness of their data.
• Scale performance and reliability: Improve processing efficiency, query performance, and infrastructure costs as data volume and product complexity grow.
• Collaborate across teams: Partner with product, operations, platform, ML, and other engineers to translate business needs into practical data solutions.
• Raise the engineering bar: Contribute to technical design, code reviews, documentation, and mentorship while establishing maintainable data engineering practices.

What You’ll Bring

• 7+ years of engineering experience with a focus on data engineering, data platforms, or backend systems involving substantial data processing.
• Strong proficiency with SQL and TypeScript, including building production pipelines and working with complex datasets.
• Experience designing ETL/ELT pipelines, data models, and orchestration workflows, with an understanding of dependencies, retries, backfills, and schema evolution.
• Strong fundamentals in relational databases, data warehouses, and cloud infrastructure, including query optimization and scalable storage and processing.
• Ability to own production data systems end-to-end, from design through rollout and ongoing support.
• Good product and workflow judgment. You understand how data will be used and make technical decisions that serve those needs.
• A practical approach to data quality, observability, access controls, and handling sensitive information.
• Comfort operating in ambiguity. You can scope, plan, and execute independently on complex, open-ended problems.
• Clear communication with technical and nontechnical partners, including the ability to explain data assumptions, tradeoffs, and limitations.

Nice to Have

• Experience working with healthcare data, EHR integrations, or interoperability standards such FHIR.
• Experience supporting ML pipelines, AI products, or datasets used for model training and evaluation.
• Familiarity with tools such as Databricks, dbt, Airflow, Dagster, Spark, or comparable data processing and orchestration frameworks.
• Experience building data infrastructure in a fast-growing startup.
• Competitive salary and equity in a high-growth startup
• Flexible PTO, take what you need
• Medical, dental, and vision coverage
• Great startup culture, including company off-sites
• High-achieving team, including ex-FAANG engineers and alumni of Bain, BCG, Goldman Sachs, and more

Only the Best Belong Here

We are unapologetic about talent. This should be the best team you have ever been on. Protecting that standard is how we honor each other’s time, ambition, and craft.

We work even harder to keep our partners than we did to earn them initially

The work does not stop when a customer first onboards to our platform. It deepens over time. We partner with operators, listening and learning about real problems, and translate that into solutions that help them succeed in practice. We earn trust through consistent delivery.

We keep the patient downstream of every decision

At the end of the day, this is about the patient. We get there by deeply respecting and reflecting on our purpose: to develop software that aids teams in delivering better care.

Raise the Bar on Ownership

We grow because people here go beyond the minimum. We invest extra effort, care, and ownership into what we build.

The World is Moving Fast. We move Faster.

This is a race. We work hard, we move early, and we stay ahead of problems and competitors. If we slow down, someone else will pass us.

We say what’s true, early, and we keep communication direct and clean so the team can move.

Bring Good Vibes and Win Together

We win as a team. We bring energy, support each other, and make the workplace somewhere people are excited to show up to.

If this sounds like you, we'd love to have a chat!