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.
Reports to : Data & Analytics Lead
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.
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
Key Responsibilities
Build ETL / ELT processes integrating operational, accounting / payroll, and fleet telematics dataOptimize SQL queries, views, and table structures for analytics performance and incremental loadsMaintain documentation for pipelines, datasets, schemas, and data contractsAssist with access control, governance, and data security best practicesTroubleshoot refresh failures and performance bottlenecks across the data stackRequired Qualifications
2–3 years of professional experience as a Data Engineer or Analytics EngineerStrong 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 pipelinesUnderstanding of data modeling concepts (star schema, keys, SCD basics)Familiarity with Power BI or similar BI toolsComfortable working directly with business stakeholdersPreferred Qualifications
Azure experience (Azure SQL, Data Factory, or Fabric Data Pipelines)REST API ingestion experienceERP or operational systems integration exposureGit-based workflows and basic CI / CDConstruction or asset-heavy industry experienceDesire to grow into Senior Data Engineer or Analytics Lead rolesWhat Success Looks Like
Stable, documented, and trusted data pipelinesReusable datasets replacing manual Excel workflowsAnalytics relied upon for daily decision-makingSmooth onboarding of new systems and data sourcesA scalable data platform supporting company growthWhy Join Ragle Inc.
Real operational data with direct business impactHigh ownership and production responsibilitySmall team with leadership visibilityProfessional development and certification supportCompensation & Benefits
Competitive salary ( $90,000–$110,000 based on experience), plus health, dental, and vision insurance , paid time off and holidays , and professional development support .
Additional Information
Ragle Inc. conducts professional reference checks as part of our standard hiring process.
Ragle Inc. is an Equal 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.