DATA ENGINEER I

United State Cold Storage Inc / USCS•Camden, NJ

7d•$90,000 - $100,000•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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