Lead Data Engineer - Hybrid Boise, ID & Portland, OR
Conexess Group is aiding a large healthcare client in their search for a Lead Data Engineer in a hybrid capacity. This is a direct hire opportunity with a competitive compensation package. This is a hybrid position in Boise, ID and Portland, OR.
Responsibilities
- Builds software to extract, transform and load data – SSIS, Azure Data Factory, Synapse
- Models data for efficient consumption by reporting and analytics tools – Azure Analysis Services, Power BI, SQL Databases
- Maintains previously deployed software and reports – Power BI, SSIS, AAS, SQL Server
- Designs dashboards and reports to meet business needs
- Presents technical problems with solutions in mind, in a constructive and understood fashion
- Demonstrates expert proficiency by sharing learnings with team and in technical showcases
- Independently discovers solutions and collaborates on insights and best practices
- Takes ownership of team's work deliverables and actively participates in mentoring of team members
- Actively seeks out opportunities to help improve the team's practices and processes to achieve fast flow
- Works with other developers to facilitate knowledge transfer and conduct code reviews
- Consistently works across the organization to enable teams to support each other
- Ensures that credit is shared and given when due
- Works to build and improve strong relationships across the organization
- Leverages those relationships to better plan for and position the engineering organization
- Leads strategic organizational decisions and plans
- Consistently works at a strategic level, influencing decisions to achieve organizational alignment on major goals
- Facilitates organization-wide discussions, ensuring that everyone has an opportunity to share their opinion and be heard, and that discussion outcomes tie to stated goals
- Encourages quiet participants and ensures no one person dominates the conversation
Requirements
7+ years of Data Engineering experienceBachelor's Degree in Information Systems, Computer Science, Business Operations, or equivalent work experienceAdvanced experience with Standard Query Language (SQL) and data modeling / architectureAdvanced experience with Data Analysis Expressions (DAX)Advanced experience and understanding of data integration engines such as SQL Server Integration Services (SSIS) or Azure Data Factory or SynapseAll offers are contingent upon the successful completion of a background checkPreferred Skills And Knowledge
Advanced experience with data engineering in a cloud development - Microsoft Azure is preferredAdvanced experience with self-service query tools and dashboards - preferably Power BIAdvanced understanding of star schema design and managing large data volumesFamiliarity with data science and machine learning capabilitiesAbility to interact with people, inside and outside the team, in order to see a project to completionExperience protecting individual privacy such as required by HIPAASeniority level
Mid-Senior levelEmployment type
Full-timeJob function
Information TechnologyIndustries
IT Services and IT ConsultingJ-18808-Ljbffr