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- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
Job summary
Write, optimize, and review complex SQL queries and Python scripts to extract, analyze, validate, and report on healthcare data, especially Plans & Benefits data. Interpret healthcare regulations and business rules into analytical outputs, lead small operational improvement projects, and collaborate with engineering, compliance, and business teams.
Job details
Svitla Systems Inc. is looking for a Senior Data Operations Engineer for a full-time position (40 hours per week) in Canada. Our client is a technology-driven healthcare company focused on making health insurance and care more accessible and affordable. The company combines insurance services with digital solutions that help individuals navigate their healthcare needs and connect with appropriate medical providers. The IT team is seeking an experienced Senior Data Operations Engineer who will be responsible for querying, analyzing, and interpreting complex healthcare data to support operational and compliance needs, with a particular focus on Plans & Benefits data. This role is data-access and analysis focused rather than engineering focused - the ideal candidate is an expert in SQL, comfortable using Python for scripting and automation, and skilled at translating regulatory requirements into queries, reports, and actionable output. This is not a pipeline-building or platform-architecture role. The perfect candidate should be familiar with PowerShell, Microsoft Office and Visual Basic. Requirements 5+ years of relevant experience in data analysis, reporting, or related field. Strong PowerShell. Expert-level SQL skills with a strong ability to understand, structure, and interpret complex datasets. Working proficiency in Python for scripting and data analysis tasks. Working knowledge of Google Workspace, BigQuery and Microsoft Office. Strong attention to detail, with the ability to read and apply healthcare regulations (specifically those related to provider networks) to data and reporting work. Experience working with healthcare and familiar with CMS body concepts. Strong written and verbal communication skills, with the ability to document findings and collaborate across teams. Will be a plus Responsibilities Write and optimize complex SQL queries to extract, analyze, and validate data across large healthcare datasets. Use Python for scripting, automation, and data manipulation to support analysis (not for building or maintaining production software systems). Interpret healthcare regulations - particularly those governing regulatory filling - and translate them into query logic, business rules, and reporting output. Translate complex business logic and rule sets into functional queries and analytical solutions. Review and optimize existing scripts and queries for performance and accuracy. Lead small projects focused on operational and process improvements. Collaborate cross-functionally with engineering, compliance, and business teams to align data output with regulatory and operational requirements. Implement temporary workarounds while participating in efforts toward permanent fixes. WE OFFER US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Flexibility in workspace, either remote or our welcoming office. Bonuses for article writing, public talks, and other activities. Free tech webinars and meetups organized by Svitla. Regular corporate online activities. Awesome team, friendly and supportive community!
What you’ll do
Write, optimize, and review complex SQL queries and Python scripts to extract, analyze, validate, and report on healthcare data, especially Plans & Benefits data. Interpret healthcare regulations and business rules into analytical outputs, lead small operational improvement projects, and collaborate with engineering, compliance, and business teams.
Requirements
Requires 5+ years of relevant experience, expert-level SQL, strong PowerShell, and working proficiency in Python, along with knowledge of BigQuery, Google Workspace, and Microsoft Office. Candidates should have healthcare data experience, understand provider-network regulations and CMS concepts, and demonstrate strong attention to detail and communication skills.
Benefits
- Flexible Workspace
- Bonuses For Articles And Public Talks
- Free Tech Webinars And Meetups
- Corporate Online Activities
Listed skills
- SQL · Preferred
- Python · Preferred
- Data analysis · Preferred
- Google Workspace · Preferred
- Microsoft Office · Preferred
- Regulatory Compliance · Preferred
- Data Validation · Preferred
- Cross-Functional Collaboration · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- SQL
- PowerShell
- Python
- Data Analysis
- Data Reporting
- BigQuery
- Google Workspace
- Microsoft Office
- Visual Basic
- Healthcare Data
- Regulatory Compliance
- Data Validation
- Query Optimization
- Scripting And Automation
- Healthcare Regulations
- Cross-Functional Collaboration
Job areas
- Data & Analytics
- Technology
- Healthcare