Senior ETL Engineer, Data Pipelines (Hybrid/Remote)

Vestcom

Little Rock (AR)

Hybrid

USD 96,000 - 143,000

Full time

14 days+
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Job summary

Avery Dennison is seeking an ETL Developer III to design, develop, and optimize complex ETL pipelines for data-integrated shelf-edge technology solutions. The role requires senior-level expertise in data architecture, integration, and database development, with collaboration across Platform, Cloud, Data Engineering, and QA teams.

This hybrid role emphasizes performance optimization, CI/CD practices, and adherence to internal SOX policies.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, IT, or related field.
  • 6+ years of IT experience in ETL development, data integration, and database administration.
  • Deep knowledge of database architectures, SQL development, performance tuning, and schema design.
  • Hands-on with enterprise ETL tools, automated workflow orchestrators, batch/streaming processing; Databricks pipelines.

Responsibilities

  • Lead design, development, and maintenance of robust ETL processes and data pipelines for high-volume data streams.
  • Monitor performance, troubleshoot, perform root cause analysis, and optimize data flows.
  • Collaborate with Platform, Cloud, Data Engineering, and QA teams to translate requirements into scalable pipelines.
  • Design physical schemas, maintain data dictionaries and ER diagrams to protect data integrity and security.
  • Establish CI/CD patterns, data quality controls, and data recovery procedures in line with SOX 404.

Skills

ETL development
Data architecture
SQL performance tuning
Databricks pipelines
Python

Education

Bachelor's degree

Tools

Databricks
Airflow
SQL Notebooks
Python

Job description

Avery Dennison is seeking an ETL Developer III to design, develop, and optimize complex ETL pipelines for data-integrated shelf-edge technology solutions. The role requires senior-level expertise in data architecture, integration, and database development, with collaboration across Platform, Cloud, Data Engineering, and QA teams.

This hybrid role emphasizes performance optimization, CI/CD practices, and adherence to internal SOX policies.

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