À propos
Who We Are US Cold owns and operates one of the most complex temperature‑controlled logistics networks in North America. Every day, our systems coordinate the storage and movement of food at national scale across a network of state‑of‑the‑art distribution centers, including multiple highly automated warehouse facilities. We continue to advance our core warehouse and logistics platforms. Our current focus is on modular, event‑driven, API‑first and cloud architectures. We continue to enhance reliability and accelerate engineering productivity by strengthening our SRE and AI practices. This is a large investment in innovation to continue to drive operational excellence at our facilities. If you want to build durable systems that operate in the physical world at scale, this is that opportunity.
The Role We are hiring a Data Engineer to design, build, and operate scalable, reliable data pipelines and platforms that power reporting, analytics, and machine learning across the organization. This role is suited for someone with a solid foundation in modern data engineering practices who enjoys solving complex data problems and working in production environments.
You will develop and maintain data systems that ensure data is accurate, timely, and trusted.
You will work across the full data lifecycle—from ingestion and transformation to validation, deployment, and monitoring.
This role offers the opportunity to build a strong medallion data foundation—delivering reliable analytics‑ and AI‑driven systems where data quality, uptime, and operational impact truly matter.
What You Will Own
Design, build, and operation of batch and streaming data pipelines.
Ingestion and processing of structured and semi-structured data from sources such as databases, APIs, event streams, logs, and files.
Data quality, reliability, and observability across data pipelines and platforms.
Development of clean, maintainable SQL and Python code for data transformations.
Delivery of high‑quality, well‑modeled datasets that support analytics and data science teams.
Application of best practices in data modeling, testing, version control, and documentation.
Leading and participating in code reviews and technical design discussions to ensure scalable and reliable solutions.
Staying current with modern data technologies and AI-enabled data workflows and applying them where they add value.
Technical Environment
Multi‑facility, high‑availability Warehouse management and logistics systems
Migration toward cloud‑native, event‑driven architectures
Azure cloud‑native services
ADF, Python and Azure functions to build data movement pipelines
Snowflake for real‑time data warehousing
CI/CD‑driven delivery model
Power BI for data visualization
Application of low‑code platforms for process automations
AI mindset with application of data science models for warehouse optimization, routing, consolidation, and capacity planning
What We’re Looking For
Professional experience building and supporting data solutions in production environments
Strong fundamentals in SQL (joins, aggregations, window functions) and Python or a similar programming language
Solid understanding of core data engineering concepts, including data pipelines and ETL/ELT patterns using tools such as ADF or Informatica
Experience with data modeling concepts, such as fact and dimension tables
Understanding of batch and streaming data processing paradigms
Familiarity with cloud data ecosystems (AWS, Azure, or GCP), with hands‑on or practical experience
Strong problem‑solving skills, curiosity, and a continuous‑learning mindset
Education Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, Engineering, Mathematics, or a closely related discipline.
Helpful Experience
Hands‑on experience (academic or professional) with:
Snowflake, BigQuery, Redshift, or similar data warehouses
ETL tools such as ADF, Informatica
Dbt or transformation‑as‑code frameworks
Exposure to:
Machine learning pipelines or AI‑driven data products
Feature engineering or data preparation for ML models
Prompt engineering, LLM pipelines, or AI/analytics integration concepts
Understanding of data governance, privacy, or security fundamentals
Contributions to open‑source projects, hackathons, or strong personal projects
Knowledge of data visualization tools, such as Tableau or Power BI.
Why this role is different You’ll help power live warehouses—moving freight and enabling real, day‑to‑day decisions that keep operations running.
You will help modernize the data and decision‑support backbone of a company that moves food at a national scale.
You will build durable, production‑grade data foundations—trusted datasets, clear definitions, and reliable data pipelines that operate under real‑world constraints, not slideware or one‑off analyses.
The Kind of Problems You’ll Solve
Translating complex warehouse, logistics, and operational workflows into scalable data pipelines, models, and curated datasets that support analytics and AI use cases
Ensuring data used in daily decision‑making is accurate, timely, and resilient in environments where uptime and data quality matter
Modernizing data ingestion, transformation, and modeling without disrupting live warehouse and transportation operations
You work closely with the business and technical teams to build production‑grade data systems that perform reliably in daily operations—not just in reports or prototypes.
Compensation & Structure
Location: Hybrid – Greater Philadelphia
Reports to: IT – Data Engineering
Travel: Less than 5%
Salary Range: $80,000–$130,000
Operational Context This role is primarily technical and office‑based, with occasional interaction in operational environments depending on system needs.
Benefits Include Medical, Dental, Vision, Prescription, Legal Insurance, Pet Discount, Critical Illness, Accident Insurance, Hospital Indemnity, Long Term Care + Permanent Life Insurance, Identity Theft Protection, Short Term Disability Insurance, Long Term Disability Insurance, Additional disability benefit, Basic Life Insurance, Accidental Death and Dismemberment Insurance, Voluntary Life Insurance, Voluntary Spouse Life Insurance, Voluntary Child Life Insurance, Loan Solution, Health Flexible Spending Account, Dependent Flexible Spending Account, Commuter accounts, Telemedicine, Virtual Primary Care, Prescription Savings Plan, Prescription Specialty Copay Assistance Program, Weight Management Program, Chronic Condition Management, Care Navigator Program, 24/7 Nurse Line, Expert Medical Opinion, Precious Additions Maternity Program, Health Advocacy, Employee Assistance Program, Digital Cognitive Behavioral Therapy, Digital Physical Therapy, Behavioral and Mental Health Platforms, Auto and home discount program, Secure Travel Protection, Discount Programs, 401(k) plan, Education Assistance, Paid Time Off.
Physical & Operational Context May require physical effort associated with using the computer to access information, or occasional standing, walking, lifting needed to carry out everyday activities. Effective communication, vision, and hearing are essential for safety and productivity. Operate scanners, tablets, radios, phones, computers, and other essential equipment as required. Additional work hours may be requested by management to help manage employee production, projects, and/or special events. Engage in frequent personal interaction and communication. Attend in‑person meetings and/or training on a regular basis. Possess strong arithmetic and reading skills. Follow verbal instructions, written instructions, and company policies. Work independently and coordinate with others. Fast‑paced environment, managing stress and meeting productivity standards.
Additional Information Job functions may vary based on the area of operation. This description outlines the most common tasks required for the job. Reasonable accommodation may be provided to enable individuals with disabilities to perform essential duties. This job description may not encompass all tasks necessary to complete the role.
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Compétences linguistiques
- English
Avis aux utilisateurs
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