Data Engineer

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 our in-house platform, accounting systems, telematics, scheduling, estimating tools, Smartsheet, and third-party APIs. These pipelines will power analytics used daily by Operations, Accounting, Estimating, and Executive Leadership.

What You’ll Do

• 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, * Stable, documented, and trusted data pipelines
• Reusable datasets replacing manual Excel workflows
• Analytics relied upon for daily decision-making
• Smooth onboarding of new systems and data sources
• A scalable data platform supporting company growth

Why Join Ragle Inc.

• Real operational data with direct business impact
• High ownership and production responsibility
• Small team with leadership visibility
• Professional development and certification support

• 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 Qualifications

• 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

Pulled from the full job description

• Paid time off
• Vision insurance
• Dental insurance
• Paid holidays, Competitive salary ($90,000-$110,000 based on experience), plus health, dental, and vision insurance, paid time off and holidays, and professional development support.