Offshore Data Analytics Jobs in Remote, OR (NOW HIRING)

Job Title: Data Engineer

Location: Remote - PST time zone

Duration: Contract - 17 months

Job Description

We are seeking a Data Engineer to join our Supply Chain Data & AI organization. The ideal candidate will have strong experience in building cloud-native data products and pipelines on Google Cloud Platform using BigQuery, Dataproc, SQL, and dbt and a proven ability to deliver scalable, reliable data models and pipelines that power analytics and AI across Sourcing, Transportation, and Warehouse Management.

Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform.
• Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt.
• Develop and maintain high-quality data models for reporting, analytics, and AI.
• Ingest, transform, validate, and publish data from multiple enterprise source systems.
• Collaborate with product managers, business analysts, architects, and engineers to deliver scalable data solutions.
• Create reusable transformation components and follow engineering standards and best practices.
• Optimize data processing performance, reliability, and cost efficiency.
• Perform unit testing, data validation, and production support to ensure quality and stability.
• Participate in Agile ceremonies including sprint planning, backlog refinement, and code reviews.
• Document technical designs, data flows, and implementation details.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience.
• 4+ years of experience in data engineering.
• Hands-on experience delivering data solutions on Google Cloud Platform.
• Proficiency with Dataproc, BigQuery, SQL, and dbt.
• Strong knowledge of data modeling, including dimensional modeling and analytical warehousing concepts.
• Experience building scalable ETL/ELT pipelines and processing large datasets.
• Familiarity with Git-based version control and CI/CD practices.
• Analytical, troubleshooting, and problem-solving skills.
• Effective communication and collaboration abilities.
• Apache Airflow for workflow orchestration.
• Apache Kafka or other event streaming platforms.
• PySpark for distributed data processing.
• Python for data engineering, scripting, and automation.
• Understanding of data quality, metadata management, and data governance.

Domain Experience (Highly Desirable):

• Retail industry, especially apparel.
• Supply chain data platforms.
• Transportation and logistics.
• Warehouse Management Systems (WMS).
• Distribution center operations.

About BCforward:

Founded in 1998 on the idea that industry leaders needed a professional service, and workforce management expert, to fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing unique solutions supporting value capture and digital product delivery needs for organizations around the world. Headquartered in Indianapolis, IN with an Offshore Development Center in Hyderabad, India, BCforward’s 6,000 consultants support more than 225 clients globally.

BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to become a market leader and best in class place to work.