ETL Developer III

The ETL Developer III is a senior-level technical expert responsible for designing, developing, testing, and optimizing complex Extract, Transform, and Load (ETL) data pipelines to support company data-integrated shelf-edge technology solutions. Operating with minimal supervision in a complex environment, this role serves as a subject matter expert in data architecture, integration, and database development. The ETL Developer III collaborates closely with cross-functional teams across Platform, Cloud, Data Engineering, and Quality Assurance to ensure data integrity, high performance, and continuous integration/delivery across large-scale retail systems. This role requires understanding of cloud computing models and optimization methods for maximizing process efficiency and cost while integrating seamlessly with existing systems within the enterprise.
Key Responsibilities:
Operating in a hybrid remote work environment, lead the design, specification, development, and maintenance of robust ETL processes, data integration workflows, and data pipelines for high-volume retail and CPG data streams.
Monitor system performance, troubleshoot malfunctions, execute root cause analysis, and perform code, query, and database optimizations to ensure optimal, cost-effective data flows.
Partner with Platform, Cloud, Data Engineering, and QA teams to translate complex business requirements into scalable, production-ready data pipelines and integration modules.
Conduct data modeling studies, design physical schemas, and maintain data dictionaries and entity-relationship diagrams to protect data integrity, security, and enterprise standards.
Establish software engineering best practices, automated data quality controls, CI/CD patterns, reusable workflow standards, and maintain data recovery procedures in strict compliance with internal policies and SOX Section 404 requirements.
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
6+ years of relevant IT experience in ETL development, data integration, and database administration.
Recognized expertise and thorough knowledge of database architectures, complex SQL development, query performance tuning, and schema design.
Deep hands-on experience with enterprise ETL tools, automated workflow orchestrators, batch and streaming data processing, and expertise in Python, SQL Notebooks, and automated Databricks pipelines.
Demonstrated ability to solve unique and complex technical problems independently, communicate technical concepts clearly to diverse stakeholders, and deliver project initiatives on schedule.

Employment type
Full-time

Work arrangement
Hybrid