Hybrid Data Engineering Manager

at Employer Direct Healthcare

• Job title: Data Engineering Manager
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, Kafka, MS SQL Server, Python, Spark, SQL, Terraform
• Location requirements: Hybrid, Vancouver, Canada

About the role

• Data Engineering Manager leading a team of Data Engineers at Lantern's specialty care platform. Ensuring data solutions meet user needs and drive impactful results.

Responsibilities

• Lead and mentor a team of data engineers to design, develop, and deploy scalable solutions.
• Collaborate with product and business stakeholders to deliver data solutions that meet user needs.
• Architect, build, and maintain data infrastructure, ensuring reliability, scalability, and performance across various data sources and platforms.
• Implement Data Ingestion, Transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
• Collaborate with Data Engineers, Architects, and Business Analysts in building data models to improve reliability and interpretability of data for analytical and business needs.
• Define and enforce coding standards and document best practices within the team.
• Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
• Experience supporting production jobs and mitigate issues within the defined SLA.
• Partner with senior leadership to define Data Strategy, Roadmap and hiring for future needs.
• Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation

Requirements

• Bachelor’s or Master’s degree in computer science, Engineering, or a related field.
• 7+ years of experience in Data Engineering, with a track record of driving technical innovation and implementation of complex data solutions at scale
• 5+ years of hands-on programming experience Python
• 3+ years of experience managing large teams
• 4+ years of Cloud Experience: Azure (preferred)/AWS/GCP.
• 3+ years of working with EDI or HIE standards (e.g. X12, HL7, and/or FHIR)
• Proven leadership experience managing and developing data engineering teams, including team growth, skill development, and strategic project execution.
• Experience in Modern Data Technologies like Spark, Databricks, and Kafka.
• Expertise with Microsoft SQL Server (preferred) or other relational databases.
• Experience in building data lakes to support high speed querying by the end users.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Prior Experience with Marketing Automation Platforms, Data Segmentation, and multi-channel campaign measurement will be helpful.
• Familiarity with CI/CD (e.g. Azure pipelines), and IAC (e.g., Terraform) is a plus.
• Experience or knowledge with creating RESTful API’s and data visualizations is a plus.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short- & Long-Term Disability
• Life Insurance
• RRSP with company match