DATA ENGINEER I

United States Cold Storage; Camden (AL); Hybrid; USD 90,000 - 100,000; Full time

Benefits offered by this job

Hybrid work arrangement

Medical, dental, vision insurance

401(k) Plan

Paid Time Off

Job summary

US Cold Storage is hiring an entry-level Data Engineer I to design, build, and support data platforms and pipelines powering analytics and AI-driven solutions. You will collaborate with data engineers, scientists, and business stakeholders to ensure high-quality data for decision-making.

Ideal candidates have strong SQL and Python fundamentals and are eager to learn modern cloud data technologies and production-scale operations in a hybrid Camden, NJ environment.

Qualifications

• 1-2 years of professional experience in Data Engineering or a related field.
• Strong SQL skills with joins, aggregations, window functions, and optimization.
• Experience with Python or similar languages.
• Understanding of ETL/ELT, data modeling, and modern data architectures.
• Familiarity with Azure, AWS, or GCP.
• Analytical, troubleshooting, and problem-solving abilities.
• Effective communication with technical and business stakeholders.
• Curiosity and willingness to learn emerging technologies.
• Bachelor's or Master's degree in a related field or equivalent experience.

Responsibilities

• Design, build, test, and maintain batch and streaming data pipelines.
• Develop ingestion from databases, APIs, files, logs, and other enterprise systems.
• Write clean SQL and Python for data transformation and orchestration.
• Monitor data quality, reliability, freshness, and observability.
• Support analytics, reporting, and data science with trusted data assets.
• Apply data modeling, source control, documentation, and deployment best practices.
• Participate in agile ceremonies, code reviews, and design discussions.
• Troubleshoot pipeline failures and perform root-cause analysis.
• Contribute to automation and continuous improvement of the data platform.
• Collaborate with business and technical teams on data requirements.
• Support production data environments and operational activities.
• Stay current on cloud data technologies and AI-enabled data workflows.

Skills

SQL

Python

Data pipelines

ETL/ELT

Cloud platforms

Analytical skills

Communication

Curiosity & learning

Education

Bachelor's or Master's degree in relevant field

Tools

Git

Job description

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

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.