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Data Engineer Contract Jobs in Randolph, NJ (NOW HIRING)

Lead Data Engineer

Parsippany, NJ · On-site

$115K - $138K/yr

Contract-to-Hire (C2H) Important Notes: We are looking for candidates with strong hands-on experience in Python, Snowflake, and SQL . Please submit candidates with a core Data Engineering background

Data Engineer

Morristown, NJ · On-site

$50 - $70/hr

Data Engineer Remote Compensation: $50 - $70 per hour ABOUT THE ROLE Our client is seeking a ... In this contract, remote role, you will play a critical part in establishing a centralized ...

Senior Data Engineer

Iselin, NJ · On-site

$107K - $146K/yr

W2 contract We are seeking a skilled Data Engineer with expertise in Databricks, Snowflake, Python, Pyspark, SQL, and Release Management to join our dynamic team. The ideal candidate will have a ...

Lead Data Engineer

East Rutherford, NJ · On-site

$125K - $150K/yr

Partner with application and platform engineers on event design, instrumentation, and data contracts. Analytics Engineering & Business Enablement * Build and maintain trusted semantic layers, metrics ...

Partner with application and platform engineers on event design, instrumentation, and data contracts. Analytics Engineering & Business Enablement * Build and maintain trusted semantic layers, metrics ...

Senior Data Engineer

Morristown, NJ · Hybrid

$109K - $148K/yr

Collaborate with different teams on data contracts and schema agreements * Lead design and optimization of high-volume data pipeline. * Define and enforce data engineering standards - naming ...

Data Engineering Lead

Newark, NJ · Hybrid

£60K - £90K/yr

... data contracts aligned to business domains Establish data quality, observability, and SLA frameworks Engineering Delivery Design and evolve scalable data pipelines (batch and incremental ...

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Data Engineer Contract information

See Randolph, NJ salary details

$45.7K

$133.3K

$182.4K

How much do data engineer contract jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data engineer contract in Randolph, NJ is $133,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,700.00 and $141,300.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What job categories do people searching Data Engineer Contract jobs in Randolph, NJ look for?

The top searched job categories for Data Engineer Contract jobs in Randolph, NJ are:

What cities near Randolph, NJ are hiring for Data Engineer Contract jobs?

Cities near Randolph, NJ with the most Data Engineer Contract job openings:

$116K - $140K/yr

Other

Posted 12 days ago


Job description

Grow your career as a Data Engineer with an innovative global bank in Rutherford, NJ. Contract role with strong possibility of extension and/or conversion. Will require working a hybrid schedule 2-3 days onsite per week.
Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.
Contract Duration: 6+ Months
Required Skills & Experience
  • Bachelor's degree in Computer Science, Information Systems, Engineering
  • 5-8 years of experience in data engineering, SQL development, data analysis, or related field.
  • Strong proficiency in SQL and experience with relational databases and data warehousing concepts.
  • Experience with ETL tools, data pipeline frameworks, and big data technologies.
  • Knowledge of Quality Engineering (QE) fundamentals, including data validation, testing frameworks, and automation
  • Strong problem-solving, analytical, and troubleshooting skills.
  • Excellent communication and stakeholder management abilities.
  • Experience working in complex, cross-functional environments.

Desired Skills & Experience
  • Strongly prefer Risk and Wealth experience

What You Will Be Doing
  • Design, build, and maintain scalable data pipelines and ETL processes to support analytics and operational use cases
  • Develop and optimize complex SQL queries for data extraction, transformation, and validation
  • Implement data quality checks, validation rules, and QE practices to ensure accuracy, consistency, and reliability of data
  • Partner with business and technology teams to translate requirements into technical data solutions
  • Analyze and troubleshoot data issues, performing root cause analysis and implementing fixes
  • Drive data governance and standardization efforts across systems and platforms
  • Support system integration and data flow across multiple applications and environments
  • Lead data-related aspects of system changes, from requirements through development, testing (QE), and deployment
  • Collaborate with QE teams to define test strategies, automate data validation, and ensure end-to-end system quality
  • Communicate risks, dependencies, and impacts of data solutions to stakeholders
  • Ensure compliance with data governance policies, regulatory requirements, and best practices