Ragle Inc · 18 hours ago
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 various systems and power analytics used daily by multiple departments.
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
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
Qualification
Required
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
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
Benefits
Health, dental, and vision insurance
Paid time off and holidays
Professional development support
Company
Ragle Inc
Ragle Inc. is a highly diversified Highway and Bridge Contractor that specializes in highway, heavy civil, and commercial projects.
H1B Sponsorship
Ragle Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2022 (3)
2021 (2)
2020 (1)
Funding
Current Stage
Growth StageCompany data provided by crunchbase