Additional Information
All Job Postings will close at 12:01 a.m. CT on the specified Closing Date.
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. ***
Dallascollege · Dallas College Administration