Data Engineer

Pay:$90000.00 - $110000.00 per year

Job description:

Data Engineer(23 Years Experience)

Location:North Richland Hills TX (On-site)
Salary Range:$90000$110000 (based on experience)
Company:Ragle Inc.

About the Role

Ragle Inc. is expanding its Data & Analytics team and is seeking a hands-onData Engineerwith 23 years of industry experience to help centralize and modernize operational accounting and project data.

In this role you will design and operateproduction-grade data pipelinesthat connect our in-house platform accounting systems telematics scheduling estimating tools Smartsheet and third-party APIs. These pipelines will power analytics used daily byOperations Accounting Estimating and Executive Leadership.

What Youll Do

• Design build and maintain reliable data pipelines usingSQL and Python
• Ingest data fromAzure 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 supportPower BI semantic modelsand 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

• 23 years of professional experience as aData 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 withPower BIor 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 intoSenior Data Engineer or Analytics Leadroles

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 & Benefits

Competitive salary ($90000$110000based on experience) plushealth dental and vision insurancepaid time off and holidays andprofessional development support.

Additional Information

Ragle Inc. is anEqual Opportunity Employer. We are committed to creating a diverse and inclusive workplace and make employment decisions without regard to race color religion sex sexual orientation gender identity or expression national origin age disability veteran status or any other protected status in accordance with applicable laws.

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