Lead Data Engineer – Data & AI, Supply Chain

Key Responsibilities

• Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform (GCP).
• Build and optimize enterprise data solutions using BigQuery, Dataproc, SQL, and dbt.
• Design scalable and efficient data models to support analytics and reporting.
• Develop and maintain ETL/ELT pipelines to ingest, transform, and publish data from enterprise systems.
• Collaborate with Product Managers, Business Analysts, Architects, and business stakeholders to translate business requirements into technical solutions.
• Lead technical design discussions, perform code reviews, and promote engineering best practices.
• Optimize data platforms for performance, scalability, reliability, and cost efficiency.
• Implement monitoring, testing, and operational best practices for production workloads.
• Contribute to reusable frameworks, engineering standards, and technical documentation.
• Support production issue resolution and continuous platform improvements.
• Participate in Agile ceremonies including sprint planning, estimation, and backlog refinement.
• Mentor and guide junior engineers while fostering engineering excellence.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience).
• 8+ years of experience in Data Engineering, including technical leadership on enterprise-scale projects.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Expert-level proficiency in:
  • BigQuery
  • Dataproc
  • SQL
  • dbt (Data Build Tool)
• Strong experience designing and implementing modern ETL/ELT solutions.
• Solid understanding of data modeling, including dimensional modeling, normalized data models, and data warehouse design.
• Experience building scalable, cloud-native data pipelines.
• Experience with Git, CI/CD pipelines, and software engineering best practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and collaboration skills.

Skills

• Experience with Apache Airflow for workflow orchestration (nice to have).
• Experience with Apache Kafka or other streaming technologies (nice to have).
• Experience with PySpark for distributed data processing (nice to have).
• Strong Python programming skills for data engineering and automation (nice to have).
• Knowledge of data quality, metadata management, and data governance practices (nice to have).

Nice to Have Skills

• Experience in one or more of the following domains is highly desirable:
• Retail (Apparel)
• Supply Chain and Logistics
• Transportation Management
• Warehouse Management Systems (WMS)
• Distribution Center Operations

Benefits

• Comprehensive healthcare coverage (medical, dental, and vision plans).
• Supplemental coverage (accident insurance, critical illness insurance and hospital indemnity).
• 401(k)-retirement savings.
• Life & disability insurance.
• An employee assistance program.
• Legal support.
• Auto, home insurance, pet insurance.
• Employee discounts with preferred vendors.

Pay

$65-70 an hour on W2 (DOE)

Schedule

Hybrid