Hybrid Data Engineer: Build Modern Data Platform & Pipelines

Crescent Electric Supply Co

Nashville (TN)

Hybrid

USD 110,000 - 155,000

Full time

7 days ago

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Benefits offered by this job

Health, dental, vision

401(k) plan

Paid time off

Company holidays

Life insurance

Short-term disability

Flexible spending accounts

Job summary

Crescent Electric Supply Co. is seeking a Data Engineer to architect, develop, and manage data pipelines and Bronze/Silver/Gold data layers. You will mentor SQL developers, collaborate with BI teams and business stakeholders, and support a Google Cloud migration while ensuring data quality and governance.

The role emphasizes secure, compliant data delivery across multiple ERP systems with hybrid work near Crescent branches and strong analytic culture.

Qualifications

Bachelor's Degree in Computer Science, Information Systems, or related field, or equivalent practical experience.
5-7+ years of experience in data engineering, ETL development, or database development.
Experience supporting multi-entity or multi-ERP environments a plus.
Strong hands-on expertise in SQL and relational database systems; working knowledge of NoSQL a plus.
Experience building and maintaining ETL/ELT pipelines using tools such as SSIS, Azure Data Factory, or equivalent.
Experience with cloud data platforms (Google Cloud, Azure, or AWS); Google Cloud experience strongly preferred.
Solid understanding of data modeling concepts, including medallion (Bronze/Silver/Gold) or similar layered architectures.
Scripting/programming experience (Python or similar) for automation and data transformation a plus.
Experience with ERP systems (Eclipse/Epicor) a plus.
Demonstrated ability to mentor and guide less-experienced developers.
Strong analytical and problem-solving skills, with the ability to diagnose and resolve data integrity issues in complex, multi-system environments.
Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Hands-on AI experience a plus.
Willingness to learn and apply AI coding tools (e.g., Claude Code) to optimize development work and streamline pipeline delivery.

Responsibilities

Pipeline Architecture & Development: Design, build, and maintain scalable ETL/ELT data pipelines that move data from source systems into the governed data platform.
Data Modeling: Develop and maintain data models and schemas (Bronze/Silver/Gold medallion architecture).
Platform Modernization: Lead the technical build-out of the data platform for Google Cloud migration and govern data paths.
AI-Enabled Engineering: Learn and leverage AI coding tools to optimize pipeline code and delivery.
Data Quality & Governance: Engineer governance and validation into pipeline design; monitor and resolve data issues.
Technical Mentorship & Leadership: Provide indirect leadership and code-review guidance to SQL Developers.
Cross-Functional Collaboration: Work with DBA, BI Developers, and stakeholders to translate requirements into designs.
Documentation: Maintain clear technical documentation of data flows and architecture.
Security & Compliance: Ensure pipelines meet data handling and security standards across ERP instances.