Pay: $90,000.00 - $110,000.00 per year
Job description:Data Engineer (2-3 Years Experience)
Location: North Richland Hills, TX (On-site)
Salary Range: $90,000-$110,000 (based on experience)
Company: Ragle Inc.
About the RoleIn 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
Key Responsibilities- 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
Required Qualifications- 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
What Success Looks Like- 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
Compensation & BenefitsCompetitive salary (
$90,000-$110,000 based on experience), plus
health, dental, and vision insurance,
paid time off and holidays, and
professional development support.
