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Temporary Data Extraction Jobs in Nutley, NJ (NOW HIRING)

Sr. Data / M/L Engineer

Manhattan, NY · On-site

$76.50 - $85/hr

Placement Type: Temporary Salary: $76.50-85 Hourly Start Date: Jul 13, 2026 Join a leading ... Build and optimize robust data pipelines and ETL frameworks, ensuring data quality and availability.

Project Engineer III

Rahway, NJ · On-site

$159K - $167K/yr

Perform statistical data extraction and analysis to support proactive process analysis. Typical ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

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Temporary Data Extraction information

What is a temporary data extraction job?

Temporary Data Extraction jobs involve short-term assignments where individuals are responsible for collecting, retrieving, and organizing data from various sources, such as documents, databases, or websites. These roles are typically project-based and may require the use of specialized software or tools to extract data efficiently and accurately. Temporary data extraction positions are common in industries undergoing digital transformation, data migration, or large-scale information updates. Workers in these roles need strong attention to detail and may work independently or as part of a team. Since these jobs are temporary, assignments can range from a few days to several months, depending on the project's scope.

What are the key skills and qualifications needed to thrive as a temporary data extraction specialist, and why are they important?

To thrive as a Temporary Data Extraction Specialist, you need strong attention to detail, data entry accuracy, and familiarity with spreadsheets or databases, typically supported by a high school diploma or equivalent. Proficiency with tools such as Microsoft Excel, data extraction software, and sometimes OCR systems is usually required. Analytical thinking, time management, and reliability are crucial soft skills for managing repetitive tasks and meeting deadlines. These competencies ensure accurate data collection, minimize errors, and help maintain workflow efficiency during short-term projects.

What are the typical challenges faced in a temporary data extraction role, and how can they be managed?

Temporary Data Extraction professionals often encounter challenges such as inconsistencies in source data, tight deadlines, and adapting quickly to new tools or procedures. It's important to pay close attention to detail and communicate regularly with team members or supervisors to clarify requirements and resolve ambiguities. Familiarizing yourself with the data extraction software and maintaining organized records can help manage workload efficiently. Additionally, being proactive about asking questions when encountering unclear data can prevent errors and streamline the extraction process.

What is the difference between Temporary Data Extraction vs Data Analyst?

AspectTemporary Data ExtractionData Analyst
Required CredentialsBasic technical skills, often no formal degree requiredBachelor's degree in data-related fields, certifications preferred
Work EnvironmentProject-based, short-term assignments, often remote or on-siteOngoing, full-time or part-time roles within organizations
Industry UsageCommon in data collection, research, and initial data processingUsed for interpreting data, creating reports, and strategic analysis

Temporary Data Extraction involves short-term tasks focused on collecting and extracting data, often requiring basic technical skills. Data Analysts typically hold formal education and perform ongoing analysis to support business decisions. While both roles work with data, their scope, credentials, and work environment differ significantly.

What are popular job titles related to Temporary Data Extraction jobs in Nutley, NJ?

For Temporary Data Extraction jobs in Nutley, NJ, the most frequently searched job titles are:

What job categories do people searching Temporary Data Extraction jobs in Nutley, NJ look for?

The top searched job categories for Temporary Data Extraction jobs in Nutley, NJ are:

Sr. Data / M/L Engineer

Manhattan, NY • On-site

Aquent
Recruiting and Staffing Services • 5 - 10K employees

$76.50 - $85/hr

Temporary

Medical, Retirement

Re-posted 7 days ago


Job description

Placement Type:
Temporary
Salary:
$76.50-85 Hourly
Start Date:
Jul 13, 2026
Join a leading organization dedicated to providing essential services and driving innovation within a critical industry. As a partner with Aquent, we are seeking visionary talent to help shape the future of our data-driven initiatives.
Are you a highly skilled and innovative professional ready to make a significant impact? This pivotal role offers the opportunity to design, build, and optimize cutting-edge analytical solutions that will directly influence strategic business decisions and enhance operational efficiency. You will be at the forefront of leveraging large datasets to develop predictive and prescriptive models, establish robust data infrastructure, and empower business teams with actionable insights. Your expertise will be crucial in transforming complex data into tangible value, driving forward our mission with advanced technology and strategic vision, contributing directly to the success of our data-driven future.
Key Responsibilities
  • Design, develop, and implement advanced analytical solutions to support critical business decisions.
  • Apply statistical and machine learning techniques to large datasets for predictive and prescriptive analysis.
  • Build and optimize robust data pipelines and ETL frameworks, ensuring data quality and availability.
  • Collaborate with cross-functional teams to define data requirements and integrate solutions.
  • Develop and maintain interactive dashboards and reports using leading Business Intelligence (BI) tools.
  • Write and optimize complex SQL queries for efficient data extraction and manipulation.
  • Manage and maintain data within relational and SQL databases.
  • Create comprehensive documentation for data processes, models, and tools.
  • Contribute to full-stack development, spanning both front-end and back-end components.
  • Establish and manage scalable data infrastructure, including hardware considerations, compilers, and interpreters.
  • Apply advanced machine learning and artificial intelligence techniques to solve complex business problems.
  • Leverage hardware experience to manage large datasets, develop efficient data pipelines, and ensure reliable data processing across servers and cloud platforms.

Must-Have Qualifications
  • Strong experience with SQL and database management.
  • Proven experience in designing and implementing data pipelines and ETL processes.
  • Proficiency in machine learning and statistical modeling.
  • Hands-on experience with leading Business Intelligence (BI) tools.
  • Demonstrated full-stack development knowledge.
  • Experience with major cloud platforms.
  • Strong understanding of data architecture, data modeling, and infrastructure setup.
  • Ability to effectively work with and manage large-scale datasets.
  • Solid programming experience (e.g., Python, R).
  • Exceptional problem-solving and analytical skills.
  • Bachelor's degree in Electrical Engineering or Computer Engineering.

Nice-to-Have Qualifications
  • Experience with advanced AI and machine learning frameworks.
  • Familiarity with big data technologies.
  • Proven experience in setting up new environments and infrastructure from scratch.
  • Knowledge of hardware and server configuration.
  • Experience in complex, highly regulated industries.
  • Familiarity with DevOps or data engineering tooling.

About Skill
Skill connects the best professional, IT, engineering, financial and administrative talent with the world's biggest brands. Our eligible talent get access to benefits such as health benefit contributions, retirement plans with match and flexible spending accounts.
Skill is an equal-opportunity employer. We evaluate qualified applicants without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
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