Data Engineer I
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
As US Cold continues to modernize its technology landscape, data has become a critical asset driving operational excellence, business intelligence, automation, and AI-enabled decision making across the organization. Our Data Engineering team builds and supports trusted, scalable, and secure data platforms that power analytics, reporting, forecasting, and machine learning solutions across the enterprise
If you are passionate about building modern data solutions, learning emerging technologies, and helping transform data into business value, this is that opportunity
The Role
The Data Engineer I helps design, build, and support the data platforms and pipelines that power analytics, reporting, operational insights, and AI-driven solutions at US Cold Storage. You will work closely with Data Engineers, Data Scientists, Analytics Engineers, and business stakeholders to ensure reliable, high-quality data is available for decision-making across the organization
This role is ideal for an early-career data professional with strong SQL and Python fundamentals who is eager to learn modern cloud data platforms, data engineering practices, and production-scale data operations.
What You Will Own
- Design, build, test, and maintain batch and streaming data pipelines
- Develop and support data ingestion processes from databases, APIs, files, logs, and other enterprise systems
- Write clean, maintainable SQL and Python code to support data transformation and pipeline orchestration
- Monitor and improve data quality, reliability, freshness, and observability across assigned datasets
- Support analytics, reporting, and data science initiatives through the delivery of trusted data assets
- Apply best practices in data modeling, testing, source control, documentation, and deployment
- Participate in agile ceremonies, code reviews, and technical design discussions
- Troubleshoot pipeline failures and support root-cause analysis efforts
- Contribute to automation and continuous improvement initiatives across the data platform
- Collaborate with business and technical teams to understand data requirements and deliver scalable solutions
- Support production data environments and participate in operational support activities when required
- Stay current on modern data engineering, cloud technologies, analytics platforms, and AI-enabled data workflows
Technical Environment
- SQL and Python
- Batch and Streaming Data Pipelines
- ETL and ELT Frameworks
- Snowflake, Azure Synapse, BigQuery, Redshift, or Similar Cloud Data Warehouses
- Azure, AWS, or GCP Cloud Platforms
- Data Modeling and Data Quality Frameworks
- Git and Source Control Platforms
- Power BI and Tableau
- AI, Machine Learning, and LLM-Enabled Data
What We're Looking For
- 1-2 years of professional experience in Data Engineering or a related technical field
- Strong SQL skills including joins, aggregations, window functions, and query optimization
- Experience developing solutions using Python or similar programming languages
- Understanding of data pipelines, ETL/ELT processes, data modeling, and modern data architectures
- Familiarity with cloud platforms such as Azure, AWS, or GCP
- Strong analytical, troubleshooting, and problem-solving skills
- Ability to communicate effectively with both technical and business stakeholders
- Demonstrated curiosity, adaptability, and desire to learn emerging technologies
- Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Information Systems, Engineering, or a related discipline, or equivalent experience
Preferred Qualifications
- Experience with Snowflake, Azure Synapse, BigQuery, Redshift, or similar cloud data platforms
- Exposure to AI, prompt engineering, LLM pipelines, or advanced analytics solutions
- Understanding of data governance, privacy, security, and access management principles
- Experience with business intelligence and visualization tools such as Power BI or Tableau
- Participation in open-source projects, hackathons, academic research, or technical portfolio work
- Exposure to enterprise-scale data environments and cloud-native architectures
Why This Role Is Different
- You will help build and support the data foundation that powers analytics and operational decision-making across US Cold Storage
- You will gain hands-on experience with modern cloud data technologies and AI-enabled solutions
- You will collaborate with data engineers, scientists, analysts, and business leaders across multiple functions
- You will contribute to high-impact initiatives that improve efficiency, visibility, and innovation throughout the organization
- You will have opportunities to grow your technical skills and advance within a rapidly modernizing technology team
Compensation & Structure
- Salary Range: $90,000 - $100,000/year
- Location: Camden, NJ (Hybrid)
- Travel: Less than 10%
- Reports To: Lead Data Engineer
- Employment Type: Full-Time, Exempt
Operational Context
This role is primarily technical and office-based, focused on supporting enterprise data platforms and analytics capabilities. Occasional participation in operational meetings, project workshops, and business stakeholder engagements may be required.
Benefits Include
If annual hours are attained, these benefits may apply. 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, Supplemental Disability Insurance, Basic Life Insurance, Accidental Death and Dismemberment Insurance, Supplemental Life Insurance, Supplemental Spouse Life Insurance, Child Life Insurance, Loan Solution, Health Flexible Spending Account, Dependent Flexible Spending Account, 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, 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, Referral Program, and Commuter Benefit (NJ only).
Physical & Operational Context
May require physical effort associated with using the computer to access information, or occasional standing, walking, or lifting needed to carry out everyday activities. Effective communication, vision, and hearing are essential for safety and productivity. Operate computers, tablets, scanners, radios, phones, and other essential equipment as required.
Additional work hours may be requested by management to support projects, production issues, or special business initiatives. Work independently and collaborate effectively in a fast-paced environment while managing priorities and meeting productivity expectations.
Qualifications Education Preferred High School or better. Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Skills Required
- 1-2 years of professional experience in Data Engineering or a related technical field.
- Strong SQL skills including joins, aggregations, window functions, and query optimization.
- Experience developing solutions using Python or similar programming languages.
- Understanding of data pipelines, ETL/ELT processes, data modeling, and modern data architectures.
- Familiarity with cloud platforms such as Azure, AWS, or GCP.
- Experience with Git and source control platforms.
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to communicate effectively with technical and business stakeholders.
- Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Information Systems, Engineering, or equivalent experience.
- Experience with Snowflake, Azure Synapse, BigQuery, Redshift, or similar cloud data platforms.
- Exposure to AI, prompt engineering, LLM pipelines, or advanced analytics solutions.
- Understanding of data governance, privacy, security, and access management principles.
- Experience with business intelligence and visualization tools such as Power BI or Tableau.
- Participation in open-source projects, hackathons, academic research, or technical portfolio work.
- Exposure to enterprise-scale data environments and cloud-native architectures.
United States Cold Storage Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about United States Cold Storage and has not been reviewed or approved by United States Cold Storage.
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Fair & Transparent Compensation — Pay is considered fair or competitive for the work and area by many. Frontline warehouse and forklift roles often describe the pay as very fair or even strong for relatively straightforward work.
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Healthcare Strength — Medical coverage begins shortly after hire and is described as excellent with low monthly premiums. The offering includes medical with prescription plans plus dental, vision, telemedicine, wellness programs, and an EAP.
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Retirement Support — A 401(k) with employer match is part of the package, with profit sharing and even pension noted in some cases. These retirement elements are presented as a strong component of the total rewards.
United States Cold Storage Insights
What We Do
For more than 125 years, United States Cold Storage (USCS) has protected America’s food supply through a national network of 39 world‑class, temperature‑controlled facilities across 14 states. Today, that mission is driven as much by software as it is by steel and concrete. Behind every truck, pallet, and movement is a modern, in‑house engineering organization building the mission‑critical systems that run our warehouses. Our teams develop and operate the technology that tracks inventory in real time, optimizes labor and throughput, integrates automation and robotics, and connects seamlessly with our partners’ supply chains. We work across multiple clouds and databases, leverage modern data platforms like Snowflake, and solve complex computer science problems—from optimization to routing at scale. With more than 4,300 employees and a 200+ person IT organization operating like a modern product and engineering group, USCS offers the rare combination of stability, scale, and complex technical challenges. We do whatever it takes to help our partners profitably reach their goals—whether that’s primary cold storage or fully integrated third‑party logistics—because when the temperature matters, getting it right matters even more. Our facilities are located in: California, Delaware, Florida, Georgia, Illinois, Indiana, Nebraska, North Carolina, Pennsylvania, Tennessee, Texas, Utah, and Virginia.
Why Work With Us
USCS is a family built on trust, teamwork, and pride. From freezer floors to engineering, everyone helps build the next generation of cold storage with practical tech that makes operations safer and smarter—because here, you don’t just keep food moving—you build how it moves next.
