Data Platform Developer

Kimley-Horn • Phoenix, AZ

1d • Onsite

About The Position

Kimley-Horn is seeking a Data Engineer to join its growing Data & Analytics team. The role designs, develops, and maintains data pipelines and enterprise data solutions while contributing to the ongoing evolution of the company’s data architecture and analytics platform. The successful candidate will work across multiple technologies to build scalable, reliable data solutions, partner with business stakeholders to understand requirements, develop data integrations, and support reporting and analytics initiatives. The position may contribute to architectural decisions and work with emerging technologies such as Microsoft Fabric, Databricks, Snowflake, and AI-enabled development tools. This is a full-time, in-office position.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.
• At least 3 years of professional experience in data engineering or a related technical role.
• Strong experience with SQL, Microsoft SQL Server, and T-SQL development.
• Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools.
• Experience programming with Python.
• Experience working in Azure cloud environments.
• Experience using Git and Azure DevOps or similar source control and CI/CD platforms.
• Working knowledge of Power BI datasets and data modeling concepts.
• Experience gathering business requirements and working directly with stakeholders.
• Strong analytical, communication, and problem-solving skills.
• Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub Copilot, ChatGPT, Codex, or similar technologies.

Nice To Haves

• Experience with Microsoft Fabric, Databricks, or Snowflake.
• Knowledge of enterprise data architecture and data modeling principles.
• Experience with Azure Data Lake Storage.
• Familiarity with dimensional modeling and data warehouse concepts.
• Experience integrating REST APIs and semi-structured data.
• Interest in AI, advanced analytics, and modern cloud data platforms.

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 for enterprise reporting and analytics.
• Build and maintain reliable data integrations from internal and external data sources.
• Gather requirements with business users and translate business needs into technical solutions.
• Support the design and enhancement of enterprise data models and data architecture.
• Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.
• Use Azure DevOps and Git for source control, deployments, and CI/CD processes.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Contribute to data quality, governance, documentation, and engineering standards.
• Explore and use AI-assisted development tools to improve engineering productivity and solution quality.
• Continuously learn about and evaluate emerging data platform technologies.

Benefits

• Retirement plan with a 2-to-1 company match on up to 4% of eligible compensation (salary and bonus), plus an additional profit-sharing contribution.
• Low-cost medical, dental, and vision insurance options.
• Personal leave, flexible scheduling, floating holidays, and half-day Fridays.
• Student loan matching in the 401(k).
• Performance-based bonuses.
• Tuition reimbursement and extensive internal training programs.
• New Parent Leave, family building benefits, and childcare resources.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level