Weekly Work
Hours
40
Compensation Range
Staff Range N08
Salary Minimum
$87,500.00
Annually
FLSA
United States of America (Exempt)
Position Type
Staff
Job Summary
The Data
Engineer II is responsible for designing, building, and maintaining data architecture and pipelines to support advanced analytics and AI/ML
initiatives. This role requires moderate technical proficiency, strong problem-solving skills, and the ability to work independently while
collaborating with engineers, data scientists, analysts, and product teams. The position includes troubleshooting complex issues and
mentoring junior team members.
Required Knowledge, Skills, and Abilities
Knowledge
- Principles of data
architecture and engineering best practices. - Moderate understanding of programming languages and relational
databases. - Familiarity with cloud-based data platforms and governance frameworks.
Skills
- Ability to design
and maintain complex data architectures and pipelines. - Skill in troubleshooting and optimizing workflows.
- Proficiency in
Microsoft Fabric and Power BI tools. - Strong analytical and problem-solving skills.
- Effective written and verbal
communication skills.
Abilities
- Ability to build pipelines independently and document processes
thoroughly. - Ability to mentor junior team members.
- Ability to collaborate across technical and non-technical
teams. - Ability to support AI/ML initiatives and follow governance policies.
Key Responsibilities
Data
Architecture & Engineering
- Design and implement scalable, extensible data architectures and pipelines using Microsoft Fabric
components (OneLake, Data Factory, Synapse Data Engineering, Synapse Data Warehouse). - Build pipelines independently and optimize for
performance and reliability. - Troubleshoot and resolve complex data workflow issues.
- Document architecture, processes, and
data lineage for compliance and transparency.
Analytics & Visualization
- Develop Power BI semantic models, dataflows,
and paginated reports. - Partner with analysts and product teams to deliver actionable insights.
Data
Governance
- Enforce data governance policies and ensure compliance.
- Maintain accurate lineage documentation in Microsoft
Purview for all assigned pipelines.
AI/ML Support
- Design and Optimize Data for AI/ML: Architect and implement data
pipelines specifically tailored for machine learning workflows, ensuring scalability and performance. - Feature Engineering & Data
Quality: Collaborate with data scientists to prepare high-quality datasets, perform feature engineering, and validate data integrity for
model training. - Model Deployment Support: Assist in operationalizing AI/ML models by integrating them into production environments
and monitoring performance. - Experiment Tracking & Documentation: Establish structured documentation for experiments, including
versioning and reproducibility standards. - Advanced Integration: Work with Azure OpenAI and Copilot Studio to enable intelligent
automation and conversational AI solutions.
Collaboration & Communication
- Work closely with engineers, data
scientists, and analysts to meet evolving data needs. - Begin mentoring junior engineers and share best practices.
Tools &
Technologies
- Microsoft Fabric (OneLake, Data Factory, Synapse Data Engineering, Synapse Data Warehouse)
- Power BI
(semantic models, dataflows, paginated reports) - Microsoft Purview (data governance, lineage, cataloging)
- Azure
OpenAI - Copilot Studio
- Required Dallas College Professional Development Hours per Academic Year. – All employees are required
to complete a minimum of 19 hours. - Perform other duties not listed as assigned.
- If physical presence is required for the
role: This position requires regular on-site presence to fulfill essential duties that cannot be performed remotely. Duties must be executed
in-person to ensure effective collaboration, supervision, and service delivery, in accordance with Texas SB 2615. - If physical
presence is not essential: This position may be eligible for remote work only under conditions permitted by Texas SB 2615, including
temporary illness, disability accommodations, or assignment to approved remote instruction programs
Physical
Requirements
Normal physical job functions performed within a standard office environment. Reasonable accommodation(s) may be
made to individuals with physical challenges to perform the essential duties and responsibilities.
Minimum Requirements for
Position
- Bachelor’s degree in Computer Science, Data Engineering, or related field.
- Two (2) plus years of relevant
experience in data engineering or related field. - Skills: Moderate proficiency in data processing frameworks, programming languages
(e.g., SQL, Python), and databases. - Strong analytical and problem-solving abilities.
Other Preferred Qualifications for
Role (not mandatory, but advantageous)
- Bilingual or multilingual preferred.
- Effective communication
skills. - Ability to maintain the security or integrity of the critical infrastructure of Dallas College.
About
Us
Since 1965, Dallas College, formerly Dallas County Community College District, has served more than three (3) million
students. Comprising seven campuses located around the Dallas/Fort Worth area, we are one of the largest community college systems in the
state of Texas. We strive to be a leader in the community college space, placing students at the center of everything we do.
Dallas
College is committed to cultivating an environment of opportunity and belonging for all students and employees. We recognize that the Dallas
College workforce, and the diverse talent that stems from it, is directly linked to our success. We are part of an equal opportunity system
that provides education and employment opportunities without discrimination on the basis of any protected attribute, including race, color,
religion, national origin, sex, disability, age, sexual orientation, gender identity or gender expression, veteran status, pregnancy or any
other basis protected under applicable law. In accordance with applicable law, Dallas College will make reasonable accommodations for
applicants and employees’ religious practices and beliefs, as well as any mental health or physical disability
needs.
Applications Deadline
March 6, 2026
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