Data Engineer I

Data Engineer I

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 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.

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

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

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

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

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

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

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.

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).

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.