Talentsearch
United States
Data Engineer / Quantitative Researcher - GPU Market Data
Data Science Full-time Mid-Senior level 1d ago
- AI
- Cloud
- ETL
- Python
AI Summary
Family Dollar seeks a Data Engineer to design scalable cloud-based data pipelines on Google Cloud Platform (GCP). The role involves building automated data solutions, optimizing performance, and collaborating with stakeholders to enhance data-driven decision-making. Requires 3+ years of data engineering experience, advanced SQL, Python, and Linux scripting skills, along with hands-on GCP experience.
Key Responsibilities
Design and build scalable data engineering solutions on GCP
Develop automated data pipelines for structured and unstructured data using batch and streaming patterns
Collaborate with stakeholders to translate business needs into technical solutions
Optimize performance and implement monitoring for data pipelines
Support knowledge sharing and team onboarding
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Technical Skills Required
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Benefits & Perks
Competitive salary range of $95,000 - $118,500 annually
10% annual bonus opportunity
Relocation assistance available for candidates outside the Hampton Roads, VA area
Comprehensive benefits package including health, dental, and vision coverage
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Nice to Have
Experience with data science workbenches or ML development environments
Understanding of data engineering aspects of machine learning pipelines
Job Description
About The Role
We are seeking a highly skilled Data Engineer to join the Data & Analytics Delivery Organization at Family Dollar. This full-time, onsite position based at our Chesapeake, VA Store Support Center offers an exciting opportunity to contribute to the company’s data transformation journey. The ideal candidate will combine strong business acumen with hands-on technical expertise to design and build scalable data engineering solutions on our cloud-based data platform.
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