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Tech Stack
Tools & technologiesAWSCloudETLHadoopSpark
About the role
Key responsibilities & impact- Lead the data engineering team and oversee development of strategic perspectives regarding IT architecture and business needs
- Develop and implement data architecture and engineering strategies leveraging AI
- Develop templates, reference architectures, and patterns for modern data engineering pipelines connecting on-premises and cloud data sources
- Partner with Architecture and Product teams and contribute to data product strategy and data literacy
- Monitor AI trends and apply relevant innovations to improve team efficiency, productivity, and architectural relevance
- Manage internal stakeholders and speak with clients on behalf of the organization as needed
- Evaluate staff performance and support professional development through goal-setting, coaching, assessment, and mentoring
- Make IT decisions for the area of responsibility and optimize service costs using internal and external resources
- Ensure information systems and networks comply with HIPAA, internal standards, accrediting agency standards, regulatory requirements, and legal requirements
- Develop, implement, test, and revise disaster, emergency mode operation, backup, physical security, personnel security, and access plans
- Hire, develop, coach, lead, and retain talent while building a high-performing team and culture
- Complete annual performance review or goal-setting responsibilities and assigned special projects
Requirements
What you’ll need- Bachelor’s degree or equivalent work experience
- 7+ years of total data engineering, IT, or project management experience, including at least 2 years of management experience
- 2+ years’ experience leading small to mid-size projects using project management methodologies and artifacts
- 4+ years’ experience with data sets, Hadoop, Spark, and/or data integration/ETL tools such as Databricks, AWS tech stack, and Snowflake
- 2+ years of experience working on AI engineering concepts and tools such as RAG, Prompt Engineering, LangChain, and LangGraph
- Familiarity with MLOps and LLMOps capabilities and tools such as DataRobot
- 2+ years of hands-on experience in software development and database management
- Proficiency in Microsoft Office Suite
- Ability to provide a dedicated, secure work area
- Ability to provide high-speed internet access/connectivity and office setup and maintenance
- Must be able to perform duties with or without reasonable accommodation
- Preferred: Experience with healthcare data, preferably in a data operations role
- Preferred: Experience working in an Agile environment
Benefits
Comp & perks- Discretionary bonus consideration
- Medical insurance coverage
- Dental insurance coverage
- Vision insurance coverage
- Disability insurance coverage
- Life insurance coverage
- 401(k) savings plans
- Paid family leave
- 9 paid holidays per year
- 17–27 days of Paid Time Off (PTO) per year, depending on level and length of service
- Remote work arrangement
- Virtual interviews