Data Engineer

About the role

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.

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

Requirements

• 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

Qualifications

• Azure experience (Azure SQL, Data Factory, or Fabric Data Pipelines) (preferred)
• REST API ingestion experience (preferred)
• ERP or operational systems integration exposure (preferred)
• Git-based workflows and basic CI/CD (preferred)
• Construction or asset-heavy industry experience (preferred)
• Desire to grow into Senior Data Engineer or Analytics Lead roles (preferred)

Pay

$90,000.00 - $110,000.00 per year

Schedule

On-site