Job Summary:
Ragle Inc. is expanding its Data & Analytics team and is seeking a hands-on Data Engineer with 2–3 years of industry experience to help centralize and modernize operational, accounting, and project data. In this role, you will design and operate production-grade data pipelines that connect various systems, enabling analytics for multiple departments.
Responsibilities:
• Design, build, and maintain reliable data pipelines using SQL and Python
• Ingest data from Azure SQL databases, third-party APIs, and structured file sources (CSV/Excel)
• Help establish and maintain a centralized analytics data model (fact and dimension tables)
• Partner with analysts to support Power BI semantic models and improve dataset performance
• Implement data quality checks, logging, monitoring, and alerting
• Collaborate with business stakeholders to translate workflows into robust data products
• Contribute to version control, deployment, and data engineering standards (Git, environments)
• Support migrations away from manual Excel workflows toward automated, governed datasets
• Build ETL/ELT processes integrating operational, accounting/payroll, and fleet telematics data
• Optimize SQL queries, views, and table structures for analytics performance and incremental loads
• Maintain documentation for pipelines, datasets, schemas, and data contracts
• Assist with access control, governance, and data security best practices
• Troubleshoot refresh failures and performance bottlenecks across the data stack
Qualifications:
Required:
• 2–3 years of professional experience as a Data Engineer or Analytics Engineer
• Strong SQL skills (complex joins, CTEs, window functions, performance tuning)
• Hands-on Python experience for data processing (pandas, standard libraries)
• Experience with relational databases (SQL Server / Azure SQL, Postgres, or similar)
• Experience building and maintaining production data pipelines
• Understanding of data modeling concepts (star schema, keys, SCD basics)
• Familiarity with Power BI or similar BI tools
• Comfortable working directly with business stakeholders
Preferred:
• Azure experience (Azure SQL, Data Factory, or Fabric Data Pipelines)
• REST API ingestion experience
• ERP or operational systems integration exposure
• Git-based workflows and basic CI/CD
• Construction or asset-heavy industry experience
• Desire to grow into Senior Data Engineer or Analytics Lead roles
Company:
Ragle Inc. is a highly diversified Highway and Bridge Contractor that specializes in highway, heavy civil, and commercial projects. Founded in 1993, the company is headquartered in Newburgh, USA, with a team of 201-500 employees. The company is currently Growth Stage.