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Senior Data Engineer
Qventus, IncSenior Data Engineer pioneering new data solutions at Qventus. Leading design, development, and management of data assets and pipelines for healthcare transformation.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building cloud-based data platforms, with a strong focus on data pipeline development, data modeling, and integration of advanced technologies. Proven ability to manage data assets and facilitate collaboration with stakeholders in the healthcare domain.
Highest-signal resume keywords
Cloud-Based Data Platform DesignData Pipeline DevelopmentMLOps ExperienceData Visualization ToolsRelevant Industry Certifications
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingData TransformationData Engineering PracticesMachine Learning Model DevelopmentData Asset Management
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
DatabricksAWSSnowProMicrosoft FabricSigmaLookerTableau
Certifications & Qualifications
Databricks Certified Data Engineer ProfessionalAWS Certified Data EngineerAWS Certified Solutions Architect ProfessionalSnowPro® Advanced Architect/Data EngineerMicrosoft Fabric Data Engineer
Industry Keywords
Healthcare DomainData LifecycleData StakeholdersData ProductsData Structures
Tech Stack
Tools & technologiesAWSCloudTableau
About the role
Key responsibilities & impact- Spearhead the discovery, evaluation, and integration of new datasets, collaborating (incl. pipeline development and data modeling/documentation) working closely with key data stakeholders to understand their impact and relevance to our core products and the healthcare domain
- Facilitate the technical management of data assets - clearly tracking and maintaining context on the data within the dataset lifecycle and sustaining tight partnerships with immediate partners on ingestion & solution data engineering
- Translate product / analytical vision into highly functional data pipelines supporting high quality & highly trusted data products (incl. designing data structures, building and scheduling data transformation pipelines, improving transparency etc.)
- Set the standard for data engineering practices within the company, guiding the architectural approaches, data pipeline designs, and the integration of cutting-edge technologies to foster a culture of innovation and continuous improvement
Requirements
What you’ll need- 5+ years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms
- Relevant industry certifications in a variety of Data Architecture services (Databricks Certified Data Engineer Professional, AWS Certified Data Engineer or Solutions Architect Professional, SnowPro® Advanced Architect/Data Engineer, Microsoft Fabric Data Engineer, and dbt Analytics Engineering)
- Experience with MLOps and/or developing and maintaining machine learning models and infrastructure
- Experience with data visualization tools and analytics technologies (Sigma, Looker, Tableau, etc.)
- Degree in Computer Science, Engineering, or related field
Benefits
Comp & perks- Open Paid Time Off
- Paid parental leave
- Professional development
- Wellness and technology stipends
- Generous employee referral bonus
- Employee stock option awards