Job Description
Description:
Lead Data Engineer – Data & AI, Supply Chain
Fully Remote
Rate: $40/hour
About the Role
Tech is seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI Organization. This role will support the design, development, and delivery of enterprise data products and analytics solutions across the Sourcing, Transportation, and Warehouse Management (WMS) domains.
The ideal candidate is a hands-on technical leader with deep expertise in building modern cloud-native data platforms on Google Cloud Platform (GCP). You will collaborate with Product Managers, Solution Architects, Data Architects, Business SMEs, and engineering teams to develop scalable, high-quality data solutions that enable advanced analytics, and AI-driven decision making.
Key Responsibilities
Required Technical Skills
oBigQuery
oSQL
odbt (Data Build Tool)
Domain Experience (Highly Desirable)
Candidates with experience in one or more of the following areas will be strongly preferred:
Lead Data Engineer – Data & AI, Supply Chain
Fully Remote
Rate: $40/hour
About the Role
Tech is seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI Organization. This role will support the design, development, and delivery of enterprise data products and analytics solutions across the Sourcing, Transportation, and Warehouse Management (WMS) domains.
The ideal candidate is a hands-on technical leader with deep expertise in building modern cloud-native data platforms on Google Cloud Platform (GCP). You will collaborate with Product Managers, Solution Architects, Data Architects, Business SMEs, and engineering teams to develop scalable, high-quality data solutions that enable advanced analytics, and AI-driven decision making.
Key Responsibilities
- Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform (GCP).
- Build and optimize enterprise data solutions using Dataproc, BigQuery, SQL, and dbt.
- Design robust and scalable data models that support analytical and operational reporting requirements.
- Develop efficient ETL/ELT pipelines to ingest, transform, and publish data from multiple enterprise systems.
- Collaborate with Product Managers, Business Analysts, Enterprise Solution Architects, Data Architects, and business stakeholders to translate business requirements into scalable technical solutions.
- Lead technical design discussions and perform code reviews to ensure engineering quality and adherence to standards.
Required Technical Skills
- 4+ years of experience in Data Engineering with demonstrated technical leadership on enterprise data projects.
- Strong hands-on experience with Google Cloud Platform (GCP).
- Expert-level proficiency in:
oBigQuery
oSQL
odbt (Data Build Tool)
- Strong understanding of modern ETL/ELT architecture and large-scale data processing.
- Strong knowledge of data modeling techniques, including dimensional modeling, normalized data models, and analytical data warehouse design.
- Experience building scalable and maintainable cloud-native data pipelines.
- Experience with Git, CI/CD pipelines, and engineering best practices.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent verbal and written communication skills with the ability to collaborate effectively across cross-functional teams.
- Experience with Apache Airflow for workflow orchestration.
- Experience integrating enterprise data platforms with Apache Kafka or other streaming technologies.
- Working knowledge of PySpark for distributed data processing.
- Proficiency in Python for data engineering, automation, and utility development.
- Familiarity with data quality, metadata management, and data governance best practices.
Domain Experience (Highly Desirable)
Candidates with experience in one or more of the following areas will be strongly preferred:
- Retail industry (Apparel)
- Supply Chain data platforms
- Transportation and Logistics
- Warehouse Management Systems (WMS)
- Distribution Center operations
Numbers & Facts
| Location | San Francisco, CA (Remote) |
| Industry | Staffing/Employment Agencies |
| Salary | $40–$41 Per Hour |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | http://www.lancesoft.com/ |
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Skills
- Analysis Skillsunmatched
- Apacheunmatched
- Apache Kafkaunmatched
- Artificial Intelligence (AI)unmatched
- Automationunmatched
- Best Practicesunmatched
- Business Analysisunmatched
- Cloud Computingunmatched
- Code Reviewsunmatched
- Communication Skillsunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Integrationunmatched
- Cross-Functionalunmatched
- Data Analysisunmatched
- Data Managementunmatched
- Data Modelingunmatched
- Data Processingunmatched
- Data Qualityunmatched
- Data Warehousingunmatched
- Database Extract Transform and Load (ETL)unmatched
- Dimensional Modelingunmatched
- Distribution Operationsunmatched
- Distribution Servicesunmatched
- Enterprise Architectureunmatched
- Enterprise Data Integrationunmatched
- GCP (Good Clinical Practices)unmatched
- Gitunmatched
- Identify Issuesunmatched
- Metadataunmatched
- Operational Auditunmatched
- Operational Supportunmatched
- Presentation/Verbal Skillsunmatched
- Problem Solving Skillsunmatched
- Python Programming/Scripting Languageunmatched
- Quality Managementunmatched
- Requirements Managementunmatched
- Retailunmatched
- SQL (Structured Query Language)unmatched
- Scalable System Developmentunmatched
- Software Engineeringunmatched
- Streaming Technologyunmatched
- Supply Chainunmatched
- Team Playerunmatched
- Technical Leadershipunmatched
- Technical/Engineering Designunmatched
- Transportation and Logisticsunmatched
- Warehousingunmatched
- Writing Skillsunmatched
About Company
We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc).
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.
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