E-verify
DataEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II at E-verify. Skills: Data pipeline architecture, ETL processes, Python, SQL. Maintain and optimize data pipeline architecture. Design, build, and manage ETL processes”
Industry & Context.
Uses logic and data to solve complex problems effectively; Diagnoses root causes of data issues; Designs scalable solutions; Anticipates and mitigates risks
May require occasional travel between healthcare system locations, May be required to enter clinical environments for data integration or support, Must present acceptable and original documents to prove identity and authorization to work in the United States no later than the third day of employment
What They're Looking For.
Must Have
Bachelor's Degree in Computer Science, Information Systems, Data Science, or a related field, 4 year(s) of experience in data engineering or a closely related field, Designing data architectures, Developing data pipelines, Implementing data quality/performance monitoring, Database development using Python, SQL, NoSQL databases
Nice to Have
Master's Degree in Computer Science, Data Engineering, Informatics, or a related field, 7 year(s) of experience in healthcare data engineering or enterprise data systems, Microsoft Certified: Azure Data Engineer Associate, Google Cloud Professional Data Engineer, AWS Certified Data Analytics – Specialty, Knowledge of statistics, Experience with statistical or data analysis software, Python libraries for data science, Experience working with healthcare or clinical data, Familiarity with electronic health record (EHR) systems, Familiarity with clinical registries, Experience using tools like REDCap for data capture, Involvement in healthcare analytics projects, Ability to create quality/outcome reports, Develop data visualizations for non-technical stakeholders
What You'll Do.
Maintain and optimize data pipeline architecture
and manage ETL processes
Develop scalable architectures
Integrate and consolidate data
Develop and enhance data infrastructure
Create and support analytics tools
Identify and implement process improvements
Automate manual workflows
Optimize data delivery pipelines
Redesign system architecture
Ensure data governance and security
Validate data for accuracy and consistency
compliant data environments
Manage and execute data projects
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; Collaborate with business stakeholders; Collaborate with IT; Collaborate with subject-matter experts; Collaborate with analytics experts; Collaborate with stakeholders across departments; Collaborate with executives; Collaborate with product managers; Collaborate with researchers; Collaborate with designers; Communicate clearly with non-technical stakeholders; Participate in cross-functional teams
Communication Scope
Communicate clearly with non-technical stakeholders
Process & Methodology
Applies light project management techniques, Coordinate tasks, Communicates with team members, Ensures timely delivery, Prioritizes tasks, Manages time effectively, Breaks down complex projects into manageable steps, Tracks progress and adjusts plans as needed, Meets deadlines consistently
Full Job Description
**Job Posting Title:** Data Engineer II **\----** **Hiring Department:** Dell Medical School **\----** **Position Open To:** All Applicants **\----** **Weekly Scheduled Hours:** 40 **\----** **FLSA Status:** Exempt from FLSA **\----** **Earliest Start Date:** Immediately **\----** **Position Duration:** Expected to Continue **\----** **Location:** AUSTIN, TX **\----** **Job Details:** ## General Notes Data Engineer II is an experienced data professional responsible for designing, building, and maintaining robust data pipelines and infrastructure that enable the collection, storage, and processing of large datasets. This role expands upon the Data Engineer I position by handling more complex data projects and working with greater independence. A Data Engineer II ensures data is accurate, secure, and compliant with data governance standards. A Data Engineer II collaborates with cross-functional teams (e.g., business stakeholders, IT, and subject-matter experts) to deliver solutions that meet business and research needs. ## Responsibilities * **Maintains and optimizes data pipeline architecture** by designing, building, and managing ETL processes that extract, transform, and load data from diverse sources. Assembles large, complex data sets to meet both functional and non-functional requirements, and develops scalable architectures for structured and unstructured data. * **Integrates and consolidates data** from multiple systems—such as disparate databases and electronic health records—into unified repositories like data warehouses or data lakes. Develops and enhances the underlying data infrastructure using SQL and cloud technologies to ensure scalability and reliability. * **Creates and supports analytics tools** that empower analysts and data scientists to access and analyze data efficiently. Builds custom queries, scripts, and dashboards that enable insight generation and data product optimization. Collaborates with analytics experts to organize, query, and visuali
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