Data Migration Engineer
Health CatalystAbout the role
Join one of the nation’s leading and most impactful health care performance improvement companies. Over the years, Health Catalyst has achieved and documented clinical, operational, and financial improvements for many of the nation’s leading healthcare organizations. We are also increasingly serving international markets. Our mission is to be the catalyst for massive, measurable, data-informed healthcare improvement through:
Data: integrate data in a flexible, open & scalable platform to power healthcare’s digital transformation
Analytics: deliver analytic applications & services that generate insight on how to measurably improve
Expertise: provide clinical, financial & operational experts who enable & accelerate improvement
Engagement: attract, develop and retain world-class team members by being a best place to work
Role: Migration (Data) Engineer
Team: Migration Team - Analytics Services
Location: US Remote
Scope: Fractional/Temp Work - data migration project
Start date: Jan 2025
Estimated end date: June 2025
Hours: 40 hours/week
*This position is not eligible for visa sponsorship*
The Data Migration Engineer plays a pivotal role in the seamless transition from Health Catalyst DOS to the new Ignite platform. This role will be responsible for the technical activities of migration, which will include migrating and re-engineering data marts in Databricks, building new BI applications and/or migrating existing applications to point to new platform, troubleshooting issues, and validating to ensure the new Ignite versions match DOS as expected.
Duties and Responsibilities:
- Migrate client data marts and reports from the DOS legacy system to new Ignite platform
- Migrate some or all components of legacy DOS data models into new platform, includes potential for re-factor and new development
- Re-point BI layer to new platform, includes building measures and visualizations within BI layer
- Migrate one visualization tool to another (Power BI to Tableau)
- Identify and fix issues during migration that require remediation
- Lead data validation tests to ensure consistent results between two platforms
- Follow established processes and document findings according to Health Catalyst standards
What you'll bring to this role:
- Experience writing and optimizing Databricks queries with performance and efficiency in mind
- Understanding of Extract, Load, and Transform processes.
- Ability to effectively manage multiple projects
- Willingness to learn new technology and methodologies
- Experience with Tableau and Power BI, developing visualizations and reporting that consume data models for non-technical users
Required Experience:
- Strong experience as a Data Engineer with knowledge of Source Control/git/ADO, VS Code, Databricks
- Technical experience in multiple competencies; data query, data movement (ELT), data modeling, and BI visualization tools (Power BI, Tableau, Qlik). Strong expertise in Tableau.
- Process improvement mindset to optimize processes, provide innovative ideas for automated tooling enhancements, and other ways to reduce migration timeline
- Solid project management and organization skills
- Ability to create documentation for future migration teams
- Ability to mentor/train/educate others
- Ability to independently learn new software tools quickly and ask for help or training when necessary
- Ability to adapt quickly and change direction as needed to address client needs
- Ability to collaborate with multiple disciplinary stakeholders to prioritize the project management deliverables and understand risk and/or impact
Nice to Have Skills:
- Scripting experience, Python preferred
Soft Skills needed for this role:
- Quick Learner
- Strong attention to detail
- Ability to follow defined processes and documentation
- Critical thinking for validation
- Ability to meet deadlines and be accountable for their work
Information Security and Compliance Responsibilities (This section can not be changed or modified)
- Maintain compliance with training directives required by the organization pertaining to Inf
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