Lead Data Engineer – School of Medicine Information Technology
Emory University
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Works as a positive team member of a project that may consist of Business Analysts, Project Managers, Information Architects, Data Analysts, and/or Database Administrators to deliver quality applications and components within scope, on time, within budget, and ensures compliance.
- Manages workload effectively and report status of tasks in a timely manner.
- Is able to guide stakeholders on solutions and support structure.
- Ensures proper governance of prioritizing work from partners.
- Forms tactical strategies to support multiple clients.
- Leads and proactively identifies emerging technologies; develops proof-of-concepts, and promotes the usage of these emerging technologies.
- Leads small to medium size technical teams, and mentors other analysts on regulation adherence.
- Follows standard operational procedures and HIPAA regulations.
- Develops strategies for managing complex data sets through maintaining data standards and metadata.
- Applies biomedical informatics technical standards, methodologies, and principles to research-specific program needs, objectives, and outcomes.
- Develops reporting infrastructure to meet multiple client needs.
- Generates standard templates for architecture documentation related to current and proposed informatic solutions.
- Performs other related duties as required.
Requirements
- A bachelor's degree in a related field and seven years of related experience, OR an equivalent combination of education, training, and experience.
- Hands-on experience with Snowflake or similar cloud data warehouse platforms
- Experience with dbt (data build tool) for data transformations
- Experience with Apache Airflow or similar workflow orchestration tools
- Proficiency with GitHub in a CI/CD environment, including pull requests, code reviews, and automated testing
- 5+ years experience with AWS cloud solutions (S3, IAM, infrastructure)
- Strong SQL skills and experience with RDBMS (Oracle, SQL Server, MySQL, PostgreSQL)
- Python or similar scripting language proficiency
- Experience designing and implementing large-scale data warehouses and ETL/ELT pipelines
- Understanding of relational and non-relational data models with direct modeling experience
- Experience with script optimization and automating data solutions
- Knowledge of Linux/Unix commands and shell scripting
- Experience with OMOP Common Data Model or similar standardized healthcare data models (PCORnet, FHIR, i2b2)
- Demonstrated experience with complex data mapping and transformation to standardized schemas
- Experience implementing role-based access control (RBAC) with complex permission structures
- Understanding of object-level sharing and data access governance in multi-user environments
- 5+ years in a healthcare or university research setting
- Experience working with EMR data (Epic, Cerner) is a plus
- Experience gathering requirements and designing solutions in partnership with stakeholders and senior leadership
- Ability to articulate complex technical concepts to non-technical audiences
- Experience collaborating with subject matter expert data engineers in specialized domains
- Experience with advanced processing techniques such as natural language processing and machine learning
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SnowflakedbtApache AirflowGitHubAWSSQLPythonETLLinuxOMOP Common Data Model
Soft Skills
team collaborationstakeholder guidanceworkload managementmentoringcommunicationstrategic planningproblem-solvingreportinggovernanceadaptability