Data Engineer

Weekly Work
Hours
40

Compensation Range
Staff Range N06

Salary Minimum
$66,900.00
Annually

FLSA
United States of America (Exempt)

Position Type
Staff
Job Summary

This role
will help maintain and improve data pipelines, Lakehouse tables, and quality checks that feed HR dashboards and reporting. The Data Engineer
I will work with the People Analytics team, HRIS, and IT to ensure that HR data is accurate, reliable, and ready for analysis.

This
is a hands-on learning role ideal for someone early in their data engineering or analytics career who wants experience with cloud data
platforms, HR workflows, and enterprise-scale reporting. The Data Engineer I will assist senior staff with pipeline development, data
modeling, and data governance activities while gaining exposure to advanced tools such as Microsoft Fabric, Delta Lake, and Workday RaaS
integrations.

Required Qualifications for Role (necessary or mandatory)

Technical Knowledge

• Foundational
  understanding of data pipelines, ETL/ELT, and data modeling.
• Ability to write Python/R scripts and SQL queries.
• Willingness
  to learn Delta Lake, distributed computing, and cloud analytics architecture.
• Exposure to API concepts and structured data formats
  (JSON, CSV, XML).
• Ability to quickly learn HR business logic and translate it into structured data.

Analytical and
Architectural Skills

• Ability to document logic, follow modeling patterns, and understand existing data flows.
• Skill in
  building clean, reproducible datasets with clear lineage.
• Ability to think through upstream/downstream impacts when modifying
  logic.

Operational and Engineering Skills

• Ability to test and validate data pipelines and identify root causes of
  errors.
• Willingness to work with version control, CI/CD concepts, and notebook-based workflows.
• Ability to produce
  maintainable, well-documented code.

Collaboration and Communication

• Clear communication with partners who have
  varying levels of technical expertise.
• Ability to translate technical steps into meaningful explanations.
• Reliability in
  meeting deadlines and coordinating with HR, IT, and People Analytics teams.

Professional Attributes

• High attention to
  detail and a strong sense of responsibility for data quality.
• Desire to grow technical skills and take on progressively complex
  engineering work.

Adaptability in a fast-evolving analytics environment with new tools and technologies.

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 (necessary or mandatory)

• 0-2 years of experience in data engineering, data analytics, or related technical work
  (internship or project experience acceptable).
• Foundational knowledge of Python or R and SQL.
• Familiarity with cloud data
  tools (e.g., Microsoft Fabric, Databricks, Snowflake, Azure, or similar) preferred.
• Understanding of basic ETL/ELT concepts, data
  cleaning, and data transformation.
• Ability to learn REST APIs, JSON parsing, and automated ingestion patterns.
• Basic
  understanding of data modeling concepts such as tables, joins, relational structure, and time-series data.
• Familiarity with
  Git/GitHub or willingness to learn.
• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, or
  related field.
• Equivalent experience or technical certifications (e.g., Azure, Databricks, Python) also
  considered.

Other Preferred Qualifications for Role (not mandatory, but advantageous)

• Exposure to HRIS or enterprise
  systems (e.g., Workday, PeopleSoft, SAP).
• Experience with Power BI, semantic models, or dashboard development.
• Coursework or
  project experience with Delta Lake or distributed computing.
• Some knowledge of DAX, R, PySpark/SparkR, or statistical
  modeling.
• Exposure to data governance concepts (data quality, metadata, lineage).

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

Key Responsibilities

Data
Engineering & Pipeline Support (50%)

• Assist in maintaining automated data ingestion from HR source systems (e.g., Workday RaaS,
  Qualtrics, ServiceNow) using REST APIs and scheduled notebooks.
• Help build and troubleshoot ETL/ELT processes using Python,
  PySpark/SparkR, SQL, and Microsoft Fabric notebooks.
• Support the creation and maintenance of Delta Lake/Lakehouse tables, including
  basic schema updates and monthly snapshots.
• Monitor pipeline executions and assist with logging, error handling, and basic
  performance improvements.
• Contribute to data quality checks to ensure timely and accurate HR datasets.

Data Modeling & Data
Preparation (25%)

• Help transform raw HR data into structured, analysis-ready datasets for headcount, turnover, recruitment, learning,
  compensation, and other domains.
• Support development of semantic layers, shared dimensions, and metric definitions used by Power BI
  dashboards.
• Follow established data governance practices, including naming conventions, documentation, and metadata
  capture.

Analytics Enablement (15%)

• Assist analysts by preparing clean datasets, writing optimized queries, and supporting
  reproducible analytics workflows.
• Help maintain trended metrics, time-series tables, and other recurring data structures needed for
  enterprise reporting.
• Ensure that models are structured to support Power BI dashboard needs and self-service
  analytics.

Collaboration & Learning (10%)

• Work with People Analytics team, HRIS, and IT to support Dallas College’s People
  Analytics roadmap.
• Participate in data governance efforts, security reviews, and documentation updates.
• Contribute to
  knowledge transfer by writing clear notes, process guides, and pipeline documentation.
• Engage in professional development to learn
  best practices in data engineering, cloud analytics, and HR data structures.
• 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.
  • Required Dallas College
    Professional Development Hours per Academic Year.
  • All employees are required to complete a minimum of 19
    hours.
  
  

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 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
February 20, 2026