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100% Remote opportunity to build scalable cloud data solutions that power enterprise analytics and AI initiatives within a leading global retail organization. Role: Data Engineer Location: San Francisco, CA- Remote Duration: 6 months contract with possible extension Pay Range: $40 - $42/hour on w2 About the Role: Client is seeking a skilled Data Engineer to join the Supply Chain Data & AI Organization. This role will focus on developing and supporting scalable data products and data pipelines that enable analytics and AI initiatives across the Sourcing, Transportation, and Warehouse Management (WMS) domains. As a Data Engineer, you will work closely with Product Managers, Data Architects, Solution Architects, Business Analysts, and fellow engineers to design, build, test, and maintain cloud-native data solutions on Google Cloud Platform (GCP). You will play a key role in transforming enterprise data into trusted, high-quality data assets that drive business insights and operational excellence. Key Responsibilities: Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform (GCP). Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt. Develop and maintain high-quality data models that support reporting, analytics, and AI use cases. Ingest, transform, validate, and publish data from multiple enterprise source systems. Collaborate with Product Managers, Business Analysts, Data Architects, and engineering teams to understand business requirements and deliver scalable data solutions. Develop reusable data transformation components and adhere to established engineering standards and best practices. Optimize data processing performance, reliability, and cost efficiency. Perform unit testing, data validation, and production support to ensure data quality and operational stability. Participate in Agile ceremonies, including sprint planning, backlog refinement, and code reviews. Document technical designs, data flows, and implementation details. Required Qualifications: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. 4+ years of experience in Data Engineering. Hands-on experience developing data solutions on Google Cloud Platform (GCP). Strong experience with: Dataproc BigQuery SQL dbt (Data Build Tool) Strong knowledge of data modeling techniques, including dimensional modeling and analytical data warehouse concepts. Experience building scalable ETL/ELT pipelines and processing large datasets. Familiarity with software development best practices, including Git-based version control and CI/CD. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills. Preferred Qualifications: Experience with Apache Airflow for workflow orchestration. Experience integrating with Apache Kafka or other event streaming platforms. Working knowledge of PySpark for distributed data processing. Experience using Python for data engineering, scripting, and automation. Knowledge of data quality, metadata management, and data governance principles. Domain Experience (Highly Desirable) Experience in one or more of the following domains is highly desirable: Retail industry (Apparel) Supply Chain data platforms Transportation and Logistics Warehouse Management Systems (WMS) Distribution Center operations Desired Attributes: Strong problem-solving and analytical skills. Ability to work independently while collaborating effectively within cross-functional Agile teams. Commitment to delivering high-quality, reliable, and scalable data solutions. Eagerness to learn new technologies and continuously improve engineering practices. Customer-focused mindset with the ability to translate business requirements into effective technical solutions. Russell Tobin is a leading minority-owned professional and technical recruitment and staffing advisory organization. We are comprised of specialized practices focusing on a variety of skill sets and industries. Having a depth and breadth of industry expertise, our subject matter experts are able to provide tailored and swift sourcing solutions to fulfill client hiring needs. In other words, we connect top talent with companies. We are the staffing arm of the Pride Global network, a minority-owned integrated human capital solutions firm, with additional offerings in vendor management, payroll programs, and business process optimization. Russell Tobin offers eligible employee’s 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 and employee discounts with preferred vendors. Equal Employment Opportunity Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodation We are committed to providing reasonable accommodation for applicants and employees with disabilities. If you require reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation. #RTA
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.