Data Engineer III

Weekly Work
Hours
40

Compensation Range
Staff Range N10

Salary Minimum
$101,900.00
Annually

FLSA
United States of America (Exempt)

Position Type
StaffJob
Summary

The Data Engineer
III
will lead the design and implementation of robust, scalable data solutions and
analytical models to support enterprise analytics and AI initiatives. This role requires advanced technical expertise, leadership in setting
architectural standards, and the ability to drive innovation through automation and cloud integration. The position involves leading
technical initiatives, mentoring team members, and ensuring compliance with data governance and regulatory requirements.

Required
Knowledge, Skills, and Abilities

• Advanced data engineering principles and architectural design.
• Cloud integration
  strategies and AI/ML pipeline design.
• Regulatory compliance frameworks (FERPA, TRAIGA).
• Best practices for data security,
  privacy, and governance.
• DevOps methodologies for data engineering.
• Ability to lead technical initiatives and set
  organizational standards.
• Expertise in automation and CI/CD for data workflows.
• Strong analytical and problem-solving
  capabilities.
• Proficiency in performance tuning and cost optimization.
• Effective leadership and mentoring
  skills.
• Advanced communication skills for technical and executive audiences.
• Ability to design and enforce governance
  standards across the enterprise.
• Ability to evaluate and integrate emerging AI technologies.
• Ability to manage complex
  projects and prioritize competing demands.
• Ability to foster collaboration across technical and business teams.
• Ability to
  anticipate future data needs and plan scalable solutions.

Physical Requirements

Normal physical job functions
performed within a standard office environment. Reasonable accommodations may be made to individuals with physical challenges to perform the
essential duties and responsibilities.

Minimum Qualifications

• Education: Bachelor’s degree in Computer Science, Data
  Engineering, or related field.
• Experience: 5+ years of relevant experience in data engineering or related field.
• Advanced
  proficiency in data processing frameworks, programming languages (e.g., SQL, Python), and databases.
• Expertise in designing scalable
  architectures and analytical models.
• Strong knowledge of cloud-based integration, AI, and analytics platforms.
• Ability to
  automate pipelines using DevOps practices.
• Excellent leadership, communication, and problem-solving skills.
• Ability to
  maintain the security or integrity of the critical infrastructure of Dallas College.

Other Preferred Qualifications for Role

• Bilingual or multilingual preferred

***Will be subject to a criminal background check. Some positions may be subject to
a fingerprint check. ***

Key Responsibilities

• Design and implement enterprise-scale data architectures and pipelines
  using Microsoft Fabric components (OneLake, Data Factory, Synapse Data Engineering, Synapse Data Warehouse).
• Develop analytical data
  models to support business intelligence and advanced analytics.
• Automate and streamline data workflows using DevOps practices and
  CI/CD pipelines.
• Lead technical initiatives and establish best practices for data engineering standards.
• Conduct performance
  tuning and capacity planning for large-scale data systems.
• Evaluate emerging technologies and recommend adoption
  strategies.
• Ensure high availability, disaster recovery, and security compliance for data platforms.
• Integrate data
  solutions with cloud-based platforms and AI services.
• Optimize data systems for scalability, performance, and
  security.
• Implement cost optimization strategies for cloud resources.
• Design and enforce data governance standards,
  including data quality frameworks and classification policies.
• Maintain compliance with FERPA and TRAIGA
  requirements.
• Document data lineage and catalog datasets in Microsoft Purview.
• Establish monitoring and auditing processes
  for data governance adherence.
• Architect AI/ML Data Pipelines: Design and implement robust, scalable pipelines optimized for machine
  learning workloads, including feature engineering and real-time data ingestion.
• Evaluate AI Services: Assess and recommend AI
  platforms and services (e.g., Azure OpenAI, Copilot Studio) for institutional use cases, ensuring alignment with strategic
  goals.
• Model Operationalization: Collaborate with data scientists to deploy models into production environments, integrating
  monitoring and retraining workflows.
• Experiment Management: Establish frameworks for experiment tracking, version control, and
  reproducibility to support research and development.
• Compliance & Governance: Ensure all AI/ML initiatives comply with FERPA and
  TRAIGA (Texas Responsible AI Governance Act, effective January 2026), including ethical AI practices and risk
  assessments.
• Performance Optimization: Implement strategies for model performance tuning, scalability, and cost efficiency in cloud
  environments.
• AI Strategy Leadership: Contribute to institutional AI strategy by defining standards, best practices, and governance
  for AI-driven solutions.
• Security & Privacy: Design secure data handling processes for sensitive datasets used in AI/ML workloads,
  including anonymization and encryption.
• Mentor junior and mid-level engineers, fostering technical growth and knowledge
  sharing.
• Collaborate with engineers, data scientists, analysts, and product teams to align data strategies with business
  objectives.
• Lead cross-functional technical workshops and architecture reviews.
• 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 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

The intent of this job description is to provide a representative summary of the major duties and responsibilities
performed by incumbents of this job and shall not be construed as a declaration of the total of the specific duties and responsibilities of
any particular position. Incumbents may be directed to perform job-related tasks other than those specifically presented in this
description. Position requires regular and predictable attendance.

About Us

Since 1965, Dallas College, formerly known as
the Dallas County Community College District (DCCCD), has served more than three (3) million students. Comprising seven (7) 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