Data Platform Engineer: Azure Pipelines & AI Tools

Kimley Horn; Dallas (TX); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Exceptional Retirement Plan

Comprehensive Health Coverage

Paid Time Off & flexible scheduling

Financial Wellness & 401(k) matching

Professional Development & Training

Family-Friendly Benefits

Job summary

Kimley-Horn is seeking a Data Engineer to join the Data & Analytics team in Dallas. You will design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python, while partnering with stakeholders to deliver reliable data solutions.

The role emphasizes data architecture evolution, enterprise data modeling, and collaboration with BI teams to support Power BI reporting. This is a full-time, in-office position in Dallas.

Qualifications

• Bachelor's degree or equivalent experience in CS/IS/Engineering or related field.
• 3+ years of professional data engineering experience.
• Strong SQL, Microsoft SQL Server, and T-SQL development.
• Experience building ETL/ELT pipelines with Azure Data Factory or similar tools.
• Proficiency in Python programming.
• Experience in Azure cloud environments.
• Experience using Git and CI/CD (Azure DevOps or similar).
• Familiarity with Power BI datasets and data modeling concepts.
• Ability to gather requirements from stakeholders and translate to technical solutions.
• Experience with AI-assisted development tools is a plus.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python.
• Develop SQL queries, stored procedures, views, and database objects to support reporting and analytics.
• Build and maintain data integrations from internal and external sources.
• Collaborate with business users to gather requirements and translate to technical solutions.
• Support the design and enhancement of enterprise data models and data architecture.
• Work with BI developers to provide optimized datasets for Power BI reporting.
• Utilize Azure DevOps and Git for source control, deployments, and CI/CD.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Contribute to data quality, governance, and engineering standards.
• Explore AI-assisted development tools to improve productivity.

Skills

SQL

Python

ETL/ELT

Data Modeling

Stakeholder Collaboration

Power BI

Azure DevOps

Communication

Analytical Thinking

Problem Solving

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field

Tools

Azure Data Factory

SQL Server

SSIS

Databricks

Snowflake

Python

Git

Job description

Kimley-Horn is seeking a Data Engineer to join the Data & Analytics team in Dallas. You will design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python, while partnering with stakeholders to deliver reliable data solutions.

The role emphasizes data architecture evolution, enterprise data modeling, and collaboration with BI teams to support Power BI reporting. This is a full-time, in-office position in Dallas.