Data Engineer

ARS • Escondido, CA

14h • Hybrid

About The Position

Data Engineers at ARS design, build, and maintain the data assets and pipelines that enable high-quality, actionable intelligence across business operations and client engagements. They ensure that information delivery is timely, reliable, and aligned with the needs of end users, adhering to internal quality standards and supporting business-critical reporting and visualization. Data Engineers are responsible for managing and prioritizing their workload across weekly deliverables and longer-term strategic objectives. They are expected to apply sound judgment and technical discretion in developing solutions, resolving data issues, and making trade-offs in a resource-constrained environment. In addition to engineering robust data solutions, the role requires active collaboration with partner teams to improve processes, enhance automation, and influence technology investments that strengthen ARS’s data ecosystem. Data Engineers also provide analytical and data-mining expertise to support strategic initiatives and guide the organization in leveraging data as an enterprise asset.

Requirements

• Requires at least an associate’s degree, preferably in STEM
• Proficiency in T-SQL
• Proficiency in Report Builder / Visual Studio
• Proficiency in Microsoft Office

Nice To Haves

• Snowflake knowledge desired
• Experience in reporting and data analysis preferred

Responsibilities

• Develop New Data and Reporting Solutions Translate business and client requirements into effective data models, pipelines, and reporting solutions. Collaborate with end users, business stakeholders, and management to validate requirements and ensure solutions meet functional and strategic needs. Apply established solution design principles to ensure scalability, sustainability, and adherence to architectural standards.
• Maintain and Enhance Existing Reporting Assets Update and optimize existing solutions to reflect evolving client requirements, business processes, and performance needs. Evaluate existing reports and pipelines to determine ongoing viability and lead their decommissioning when they no longer provide business value. Troubleshoot and resolve data or performance issues as they arise.
• Drive Automation and Improve the Sustainability of the Reporting Suite Lead or support initiatives to migrate legacy solutions to automated, maintainable, and modernized architectures. Redesign and rebuild legacy assets to align with current engineering principles, tooling, and best practices. Identify opportunities for process automation that streamline delivery and reduce manual intervention.
• Support Data Gathering, Mining, and Analytical Efforts Serve as a subject matter expert on the data warehouse, including data structures, lineage, availability, and appropriate usage. Develop queries, extracts, and aggregated datasets to support business analysts, operational reporting, and strategic initiatives. Advise stakeholders on data interpretation, constraints, and best practices for analytical use.
• Uphold Data Stewardship and Quality Standards Ensure all solutions meet ARS’s standards for data accuracy, completeness, and consistency. Validate and monitor data pipelines and reports to ensure correct data population and correct application of business rules. Contribute to the documentation, governance, and continuous improvement of data quality processes.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree