Vice President of Engineering
Inspiren
CloudIoTMicroservicesSDLC
Data Engineering Manager
Employer Direct Healthcare
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
SeniorLead
Tech Stack
AWSAzureCloudGoogle Cloud PlatformKafkaMS SQL ServerPythonSparkSQLTerraform
About the role
- 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.
- Collaborate with Data Engineers, Architects, and Business Analysts in building data models to improve reliability and interpretability of data.
- 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).
- Support production jobs and mitigate issues within the defined SLA.
- Partner with senior leadership to define Data Strategy, Roadmap and hiring for future needs.
- Foster a culture that embraces continuous learning and innovation.
- Hands-on contribute to the design, development, and maintenance of the data platform and own deliverables to drive impactful results.
Requirements
- Bachelor’s or Master’s degree in computer science, Engineering, or a related field.
- 7+ years of experience in Data Engineering.
- 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, FHIR).
- Proven leadership experience managing and developing data engineering teams, including team growth and strategic project execution.
- Experience in Modern Data Technologies like Spark, Databricks, and Kafka.
- Expertise with Microsoft SQL Server or other relational databases.
- Experience in building data lakes to support high speed querying.
- 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 (helpful).
- Familiarity with CI/CD (e.g., Azure pipelines) and IAC (e.g., Terraform) is a plus.
- Experience or knowledge with creating RESTful APIs and data visualizations is a plus.
- Experience supporting production jobs and mitigating issues within defined SLA.
Benefits
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Short & Long Term Disability
- Life Insurance
- 401k with company match
- Paid Time Off
- Paid Parental Leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Data EngineeringPythonCloud ExperienceAzureAWSGCPSparkDatabricksKafkaMicrosoft SQL Server
Soft skills
LeadershipMentoringCollaborationCommunicationContinuous LearningInnovationProblem SolvingTeam ManagementStrategic PlanningDocumentation
Certifications
Bachelor’s degreeMaster’s degree
