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Data Engineer Two Jobs in New Jersey (NOW HIRING)

United States Cold Storage

Data Engineer I

Camden, NJ · On-site

$90K - $100K/yr

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 ...

Precision Technologies Corp

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Role - Data Engineer Location - New Jersey, NJ Type - Full-Time Lead the development and ... Knowledge of regulatory standards (such as Dodd-Frank, EMIR, MiFID II) related to trade reporting ...

CYNET SYSTEMS

Data Engineer

Jersey City, NJ · On-site

$55 - $60/hr

Data Governance. Qualification And Education: * Bachelor's degree in Computer Science, Engineering ... Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards ...

Colgate-Palmolive Company

Data Engineer

Piscataway, NJ · On-site

$96K - $137K/yr

Experience:2-3 years of hands-on experience in a data engineering or analytics engineering role, ideally within a digital or e-commerce environment. Preferred Qualifications: Proven experience ...

Colgate-Palmolive Company

Data Engineer

Piscataway, NJ

$96K - $137K/yr

Experience: * 2-3 years of hands-on experience in a data engineering or analytics engineering role, ideally within a digital or e-commerce environment. Preferred Qualifications: * Proven experience ...

Apex Informatics

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Data Engineer Location: Jersey City, NJ ( 3 days onsite 2 days remote) Must Have Skills: Python/Spark/PySpark/AWS THE LEADS MUST be strong in both java & Pyspark (Python + Spark) - 70% Pyspark - 30 ...

Apex Informatics

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Position Responsibilities Data Engineer Location ... Jersey City, NJ / Columbus, OH ( 3 days onsite 2 days remote) look for nearby candidates (only w2 ...

CEDENT

Data Engineer - Hybrid

Newark, NJ · Hybrid

$119K - $143K/yr

Looking for data engineers with 9+ years of experience. 1. Experience developing and deploying application code using SQL, Python, spark. 2. 3 to 5 years' experience developing and deploying data ...

Astrana Health, Inc.

$105K - $200K/yr

Data Engineer (Multiple Levels) Department: Data - Analytics Employment Type: Full Time Location ... At least 2 years of experience working in the data and analytics landscape * At least 2 years of ...

Centraprise

Lead Data Engineer

Jersey City, NJ · On-site

$112K - $147K/yr

Knowledge of Data Vault 2.0 and modern data modeling techniques. Educational Qualifications * Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related ...

Apex Informatics

Senior Data Engineer-

Jersey City, NJ · On-site

$61 - $80.75/hr

Senior Data Engineer- Jersey city, NJ * Must have: Spark, Scala, Java, AWS (EMR) * Nice to have ... Interviews - 2 rounds focused on technical - Scala, Spark, write code, answer design questions * If ...

Pwc

Data Engineer - Senior Associate

Florham Park, NJ · On-site

$77K - $202K/yr

... - 2 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ... PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ... PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of ...

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Showing results 21-40

All JobsData Engineer Two JobsData Engineer Two Jobs in New Jersey

Data Engineer Two information

What is the difference between Data Engineer Two vs Data Engineer One?

AspectData Engineer TwoData Engineer One
Required CredentialsBachelor's degree in Computer Science or related field; experience with cloud platformsSimilar credentials, often entry-level or less experience
Work EnvironmentCollaborates on complex data pipelines, often in team settingsSupports basic data tasks, more independent work
Employer & Industry UsageUsed in tech, finance, healthcare industriesCommon in same industries, often as entry-level roles
Search & Comparison IntentOften searched for by those with some experience seeking advanced rolesTypically searched by entry-level candidates

Data Engineer Two roles generally require more experience and involve handling complex data systems, whereas Data Engineer One positions are more entry-level with simpler responsibilities. Both roles are prevalent across industries like tech, finance, and healthcare, but Data Engineer Two is suited for those with more technical expertise and experience.

What other jobs can a data engineer do?

Data engineers can transition into roles such as data architects, data analysts, machine learning engineers, or software engineers, leveraging their skills in data pipelines, database management, and programming. They often work with tools like SQL, Python, and cloud platforms, and may pursue certifications to expand their expertise in data systems and analytics.

What are popular job titles related to Data Engineer Two jobs in New Jersey?

For Data Engineer Two jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Engineer Two jobs in New Jersey look for?

The top searched job categories for Data Engineer Two jobs in New Jersey are:

What cities in New Jersey are hiring for Data Engineer Two jobs?

Cities in New Jersey with the most Data Engineer Two job openings:

Data Engineer Two jobs near you

Data Engineer I

United States Cold Storage

Camden, NJ • On-site

$90K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

United States Cold Storage rating

7.8

Company rating: 7.8 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

90th of 366 rated logistics

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
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.
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.

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