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# Data Analytics Engineer

- **Company:** IDR, Inc.
- **Location:** Dallas, TX, United States (Remote available)
- **Salary:** $104,000.0
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Business Analytics Applications, Cloud Database, Data Transformation, Data Structures, Relational Databases, Database Queries, Power BI, SQL Databases, Tableau (Software), Freeform SQL, Snowflake, Data Analytics
- **Published:** July 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=734ca89c01caf858

## About the Role

* 1-5 years of experience with SQL programming, including complex queries, joins, and data transformations.
 * Experience developing dashboards and reports in Sigma, Tableau, or Power BI.
 * At least 1 year of working with relational databases, cloud data warehouses, or modern analytics platforms, specifically Snowflake.
 * Experience building dimensional models, curated reporting tables, or silver- and gold-layer data structures.
 * Strong understanding of data structures and data modeling concepts.
 * Excellent communication skills to work effectively with both technical and non-technical stakeholders.

## Description

This is an ideal opportunity for an analytically minded engineer with strong SQL fundamentals who enjoys solving problems independently, learning new technologies, and working in a lean, high-impact environment. The selected candidate will work closely with the data and technology leader and will become one of the company's primary hands-on technical contributors., * Design, build, and maintain silver- and gold-layer data tables within Snowflake.

 * Write advanced SQL queries to transform, model, validate, and analyze enterprise data.
 * Develop and maintain business intelligence dashboards and reporting solutions using Sigma.
 * Translate business questions and reporting requirements into scalable data models and analytics solutions.
 * Work directly with stakeholders across finance, operations, and executive leadership to understand reporting and data needs.
 * Validate data accuracy, troubleshoot discrepancies, and improve the reliability of analytics outputs.


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