ETL Developer III
About The Position
The ETL Developer III is a senior-level technical expert responsible for designing, developing, testing, and optimizing complex ETL data pipelines for company data-integrated shelf-edge technology solutions. The role operates with minimal supervision in a complex environment and serves as a subject matter expert in data architecture, integration, and database development. It collaborates with Platform, Cloud, Data Engineering, and Quality Assurance teams to support data integrity, performance, and continuous integration and delivery across large-scale retail systems. The role also applies knowledge of cloud computing models and optimization methods to improve process efficiency and cost while integrating with existing enterprise systems. This position operates in a hybrid remote work environment and leads ETL processes, data integration workflows, and pipelines for high-volume retail and CPG data streams. It supports performance monitoring and troubleshooting, data modeling and documentation, automated quality controls, CI/CD practices, reusable workflow standards, and data recovery procedures in compliance with internal policies and SOX Section 404 requirements.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
- At least 6 years of relevant IT experience in ETL development, data integration, and database administration.
- Thorough knowledge of database architectures, complex SQL development, query performance tuning, and schema design.
- Hands-on experience with enterprise ETL tools, automated workflow orchestrators, batch and streaming data processing, Python, SQL Notebooks, and automated Databricks pipelines.
- Ability to independently solve unique and complex technical problems, communicate technical concepts clearly to diverse stakeholders, and deliver project initiatives on schedule.
Responsibilities
- 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, perform root cause analysis, and optimize code, queries, and databases for effective, cost-conscious data flows.
- Partner with Platform, Cloud, Data Engineering, and QA teams to translate 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 and security and meet enterprise standards.
- Establish software engineering best practices, automated data quality controls, CI/CD patterns, reusable workflow standards, and data recovery procedures in compliance with internal policies and SOX Section 404 requirements.
Benefits
- LGBTQ+ inclusive healthcare
- 401(k) savings plan with automatic company contribution and matching contribution
- Company-paid basic life insurance
- Paid time off and vacation program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
