Data Platform Engineer: Azure, Databricks & AI Tools

Kimley-Horn; Phoenix (AZ); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Retirement plan

Health coverage

Time off & flexible scheduling

Tuition reimbursement

Family benefits

Job summary

Kimley-Horn is seeking a Data Engineer to join our Data & Analytics team in a full-time, in-office role in Phoenix, AZ. You will design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python, and partner with business users to translate requirements into scalable data solutions.

You will contribute to enterprise data models and analytics, collaborating with BI developers to optimize Power BI datasets while embracing emerging tools and AI-assisted

Qualifications

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

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines.
• Develop SQL queries, stored procedures, views, and objects for reporting.
• Build reliable data integrations from internal and external sources.
• Collaborate with business users to translate needs into solutions.
• Support enterprise data models and architecture.
• Work with BI developers to optimize datasets for Power BI.
• Use Azure DevOps and Git for deployments and CI/CD.
• Monitor and optimize data pipelines for performance and reliability.
• Contribute to data quality, governance, and documentation.
• Explore AI-assisted tools to improve productivity and quality.
• Keep up with evolving data platform technologies.

Skills

SQL

Python

Stakeholder collaboration

Analytical thinking

Data modeling

Education

Bachelor's degree in Computer Science/Engineering/Information Systems

Tools

Azure Data Factory

SQL Server

SSIS

Git & Azure DevOps

Power BI

Databricks

Snowflake

Job description

Kimley-Horn is seeking a Data Engineer to join our Data & Analytics team in a full-time, in-office role in Phoenix, AZ. You will design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python, and partner with business users to translate requirements into scalable data solutions.

You will contribute to enterprise data models and analytics, collaborating with BI developers to optimize Power BI datasets while embracing emerging tools and AI-assisted