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Data Collection Jobs in New Jersey (NOW HIRING)

JPMorgan Chase & Co

Lead Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way * Build and optimize batch and streaming data pipelines with strong performance ...

JPMorgan Chase & Co.

Lead Data Engineer

Jersey City, NJ · On-site

$147K - $190K/yr

Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way * Build and optimize batch and streaming data pipelines with strong performance ...

J.P. Morgan

Lead Data Engineer

Jersey City, NJ

$119K - $143K/yr

Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way * Build and optimize batch and streaming data pipelines with strong performance ...

JP Morgan Chase

Lead Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way * Build and optimize batch and streaming data pipelines with strong performance ...

Integrated Resources INC

Data Analyst

Newark, NJ

Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality. Acquire data from primary or secondary data sources and maintain databases ...

Veolia Environnement SA

Meter Data Analyst

Hackensack, NJ · On-site

$70K - $75K/yr

Defining new data collection and analysis processes. * Performing analysis to assess quality and meaning of data. * Preparing reports for the management stating trends, patterns, and predictions ...

IMSolutions, LLC

Data Analyst

Stafford Township, NJ · On-site

$65 - $95/hr

Proficiency in data collection, analysis, validation, and reporting. * Ability to identify trends, patterns, and key insights from data. * Strong analytical and critical-thinking skills. * Ability to ...

FanDuel

Data Science Manager

Jersey City, NJ

Throughout the lifecycle of a model, from data collection through results, you will create predictive models of sports to build tools and dashboards, price markets, and drive actionable insights ...

Socket.dev

Data Services Analyst

Mount Arlington, NJ · On-site

$65 - $95/hr

Data Service Analysts are responsible for data collection, matching, remediation, and report creation. BENEFITS * Current benefit programs offered by MedPro include medical, dental, vision, health ...

Omaze

Data Science Manager

Jersey City, NJ · On-site

$149 - $186/hr

Throughout the lifecycle of a model, from data collection through results, you will create predictive models of sports to build tools and dashboards, price markets, and drive actionable insights ...

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All JobsData Collection JobsData Collection Jobs in New Jersey

Data Collection information

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$16

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$32

How much do data collection jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data collection in New Jersey is $25.69, according to ZipRecruiter salary data. Most workers in this role earn between $23.65 and $26.35 per hour, depending on experience, location, and employer.

What is data collection?

Data collection is the process of gathering and measuring information on targeted variables in a systematic way to answer research questions, test hypotheses, or evaluate outcomes. It is a critical first step in research, analytics, and decision-making, ensuring that the data collected is accurate, reliable, and relevant. Data collection can be done through various methods, including surveys, interviews, observations, or digital tools, depending on the objectives and resources available. Proper data collection enables organizations and researchers to make informed decisions based on evidence and trends.

What are the key skills and qualifications needed to thrive as a data collection specialist?

To thrive as a Data Collection Specialist, you need strong analytical abilities, attention to detail, and a background in statistics or data management, often supported by a relevant degree or coursework. Familiarity with data collection tools like survey platforms, Excel, and database management systems, as well as knowledge of data privacy regulations, is essential. Strong organizational skills, clear communication, and adaptability help ensure accuracy and efficiency in gathering and recording data. These skills are crucial for collecting reliable data that supports informed decision-making and organizational objectives.

What are some common challenges faced by professionals in data collection roles, and how can they be overcome?

Data collection professionals often encounter challenges such as ensuring data accuracy, managing large volumes of data, and maintaining data privacy. Inaccurate or incomplete data can compromise analysis, so attention to detail and robust validation processes are essential. Additionally, collaborating closely with other team members, such as analysts and IT staff, helps streamline workflows and troubleshoot issues quickly. Staying updated on best practices and using reliable tools can further improve efficiency and data quality.

What is the difference between Data Collection vs Data Analyst?

AspectData CollectionData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require certifications in data toolsBachelor's degree in data science, statistics, or related field; certifications like SQL or Python often preferred
Work EnvironmentFieldwork, surveys, online data gathering, or office-based data entryOffice setting, analyzing data sets, creating reports
Employer & Industry UsageResearch firms, marketing agencies, government agenciesTech companies, finance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding data collection methods and rolesAnalyzing data to derive insights and support decision-making

Data Collection involves gathering raw data through various methods, while Data Analysts interpret and analyze that data to generate insights. Both roles are essential in data-driven industries but focus on different stages of the data process.

How much money do data collectors make?

Data collectors typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the data collection tasks. Some positions may offer additional incentives or bonuses for meeting targets or working in specialized environments.

Is data collection a good job?

Data collection jobs involve gathering information for research, marketing, or analysis purposes and often require attention to detail and basic technical skills. These roles can be part-time or full-time, with varying pay and job stability depending on the industry and employer. They are generally suitable for individuals interested in data, research, and working in flexible or remote environments.

What are the most commonly searched types of Data Collection jobs in New Jersey?

The most popular types of Data Collection jobs in New Jersey are:

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

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

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

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

What cities in New Jersey are hiring for Data Collection jobs?

Cities in New Jersey with the most Data Collection job openings:

Data Collection jobs near you
Infographic showing various Data Collection job openings in New Jersey as of August 2026, with employment types broken down into 64% Full Time, 18% Part Time, and 18% Contract. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $53,442 per year, or $25.7 per hour.

Lead Data Engineer

JPMorgan Chase & Co

Jersey City, NJ • On-site

$125K - $150K/yr

Full-time

Medical, Retirement

Posted 13 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way

  • Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability

  • Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations

  • Model and transform data for analytics using SQL to support business intelligence and reporting workloads

  • Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design

  • Collaborate with analysts, data scientists, and application teams to turn requirements into technical designs and delivered solutions

  • Own critical data systems by improving reliability, scalability, security, and operational excellence

  • Mentor junior engineers and influence the team's technical direction through standards, reviews, and knowledge sharing

  • Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements

  • Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations

Required qualifications, capabilities, and skills

  • Formal training or certification on data engineering concepts and 5+ years applied experience

  • Demonstrated experience delivering in an agile, fast-paced engineering environment. Hands-on professional experience actively coding as a data engineer

  • Strong software engineering fundamentals (system design, data structures, object-oriented programming, testing strategies, and end-to-end development lifecycle)

  • Strong understanding of creating and maintaining data models (conceptual, logical, and physical), including dimensional and normalized modeling approaches

  • Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure)

  • Experience with large-scale distributed data processing and performance tuning

  • Hands-on experience with modern data warehousing/lakehouse technologies. Strong SQL skills and experience with SQL-based transformation tooling 

  • Experience designing and operating orchestration pipelines using Airflow or similar tools

  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity

  • Ability to review and validate AI-assisted outputs (e.g., model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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