Data Engineer, Lead - School of Medicine Information Technology at Emory University

Atlanta, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, dbt, Apache Airflow, GitHub, AWS, SQL, Python, Data Engineering, ETL, Healthcare Data Standards, EMR Data, Natural Language Processing, Machine Learning, Data Mapping, Data Governance, Metadata Management

Industry

Higher Education

Description

Discover Your Career at Emory University Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community. Description JOB DESCRIPTION: 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. MINIMUM QUALIFICATIONS: A bachelor's degree in a related field and seven years of related experience, OR an equivalent combination of education, training, and experience. PREFERRED QUALIFICATIONS: Core Technical Stack: 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 Data Engineering & Architecture: 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 Healthcare Data Standards & Governance: 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 NOTE: Tasks related to this position can be performed remotely with only occasional visits to an Emory University location. Eastern (EST) time zone business hours may apply. Emory reserves the right to change this status with notice to employee. Emory does not approve as a primary work location in the following states; NJ, AK, and HI, any U.S. Territories or outside of the United States. Additional Details Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD). Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.

Responsibilities

The Data Engineer will work as part of a team to deliver quality applications and components, manage workloads, and guide stakeholders on solutions. They will lead technical teams, develop reporting infrastructure, and ensure compliance with regulations.