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Curis Solutions

Data Engineer

Engineer, BC, Canada

The standard base pay range for this role is $100,000 - $125,000 annually. · Full-time

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Job details

Pay: The standard base pay range for this role is $100,000 - $125,000 annually.
Job type: Full-time
Apply by: Nov 6, 2026
Experience: 3-5 years of experience in data engineering with a focus on ETL pipeline creation and management.
Posting language: English
Posted: Aug 4, 2026

Original job description

About Us

Curis Solutions is a rapidly growing technology & analytics focused consulting firm specializing in creating long term solutions for health systems and physician practice groups to harness the vast amount of data required to properly manage their businesses in an ever-changing environment. Our customers range from small independent hospitals to large academic medical centers and expansive physician practice groups. We also provide solutions for the financial services industry and private equity clients operating in the healthcare space.

Job Description

We are seeking a skilled and motivated Data Engineer with a strong focus on designing, implementing, and optimizing ETL pipelines. The ideal candidate will bring extensive experience in data pipeline development, data integration, and data transformation using Microsoft Fabric, Azure, and other data engineering tools.

In this role, you will play a central part in enabling data-driven insights by ensuring seamless data flows from raw ingestion through complex transformation and warehousing, enabling our clients to leverage data effectively. We value innovation and a proactive approach to problem-solving and encourage an entrepreneurial spirit to drive the evolution of our data infrastructure.

Key Responsibilities

Design, develop, and optimize data pipelines, data integrations, and data warehouses using Microsoft Fabric and Azure services.
Collaborate with cross-functional teams to gather, understand, and document business and data requirements.
Write and optimize complex SQL queries to support data analysis, reporting, and data transformation needs.
Utilize Python/Pyspark for data extraction, transformation, and automation of data processes.
Implement data solutions using Spark for distributed data processing and performance optimization.
Monitor, troubleshoot, and improve data systems' performance, security, and scalability.
Ensure data quality, integrity, and compliance with organizational and industry standards.
Create insightful data visualizations and dashboards in Power BI, catering to business and stakeholder needs

Required Skills And Qualifications

3-5 years of experience in data engineering with a focus on ETL pipeline creation and management.
Strong experience with Microsoft Fabric and Azure data services (e.g., Azure Data Factory, Azure Data Lake, and Azure Synapse).
Proficiency in SQL, including query optimization and database management.
Advanced programming skills in Python for ETL, data processing, and automation.
Experience with Apache Spark for distributed data processing and performance optimization.
Solid understanding of data modeling, ETL principles, and data warehousing best practices.
Strong problem-solving skills, attention to detail, and the ability to work independently or as part of a team.
Familiarity with data security best practices and compliance frameworks.

Additional Preferred Qualifications

Prior experience working in the healthcare industry
Experience with DevOps practices, including CI/CD pipelines.

Benefits & Compensation

The standard base pay range for this role is $100,000 - $125,000 annually.
Eligible for equity awards based on factors such as accrued experience and job performance. Actual amounts will vary depending on experience, performance and skills.
Flexible work arrangement.
Company provided hardware.
Company provided education and training

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More about this job

Responsibilities

Design, develop, and optimize ETL pipelines, integrations, and data warehouses using Microsoft Fabric, Azure, SQL, Python, and Spark. Collaborate with stakeholders to define data requirements, maintain secure and reliable data systems, and create Power BI dashboards and visualizations.

Requirements

Requires 3–5 years of data engineering experience, strong Microsoft Fabric and Azure expertise, and proficiency in SQL, Python, and Apache Spark. Candidates should understand ETL, data modeling, and warehousing practices, and have strong problem-solving skills; healthcare and DevOps experience are preferred.

Skills

ETL Pipeline Development
Microsoft Fabric
Azure Data Services
SQL
Python
PySpark
Apache Spark
Data Integration
Data Transformation
Data Warehousing
Data Modeling
Power BI
Data Visualization
Data Quality
Data Security
CI/CD

Benefits

Equity Awards
Flexible Work Arrangement
Company-Provided Hardware
Education And Training

Visa sponsorship

Not detected in the job text

Keywords

ETL
Data Pipelines
Microsoft Fabric
Azure
Azure Data Factory
Azure Data Lake
Azure Synapse
SQL
Python
PySpark
Apache Spark
Data Integration
Data Transformation
Data Warehousing
Data Modeling
Power BI
Data Visualization
Data Quality
Data Integrity
Data Security
Compliance
Performance Optimization
Distributed Data Processing
DevOps
CI/CD
Healthcare
Financial Services
Private Equity

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