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Data Capture Jobs in New Jersey (NOW HIRING)

PDI (NY)

Senior R&D Data Scientist

Woodcliff Lake, NJ · On-site

Define instrument-level data capture, metadata schemas, and audit trail requirements to support traceability, compliance, and scalable analytics * Translate laboratory workflows into scalable digital ...

Atria Group LLC

ETL Data Stage developer

Ewing Township, NJ

$49 - $64/hr

... Data Capture 5 years Source to Target Mapping 2 years Creating and executing Test Cases 2 years Additional Information * Good comm skills are a big priority * Duration: 6 months * In person interview ...

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How much do data capture jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for data capture in New Jersey is $27.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $43.70 per hour, depending on experience, location, and employer.

What is a data capture?

A Data Capture job involves collecting, inputting, and managing data from various sources into digital systems. This role ensures accuracy, completeness, and organization of data for business use. Responsibilities may include data entry, verification, and quality control. Data Capture professionals work with databases, spreadsheets, or specialized software to maintain records efficiently. Attention to detail and strong typing skills are essential for success in this role.

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

To thrive as a Data Capture professional, you need strong attention to detail, fast and accurate data entry skills, and a high school diploma or equivalent educational background. Familiarity with data management software such as Microsoft Excel, Google Sheets, or specialized database platforms is often required, and some employers may prefer experience with document scanning tools or OCR technology. Reliability, organization, and the ability to maintain confidentiality are standout soft skills in this position. These capabilities ensure the integrity and accuracy of collected data, which supports informed business decisions and operational efficiency.

What are some typical challenges faced by data capture professionals, and how are they addressed?

Data Capture professionals often encounter challenges such as handling large volumes of information, maintaining accuracy under tight deadlines, and adapting to frequent updates in data formats or software systems. To address these challenges, companies provide thorough training, maintain clear data entry protocols, and sometimes implement automated quality checks to help ensure data integrity. Collaboration with IT and data management teams is common, allowing Data Capture specialists to resolve any technical issues quickly. By staying organized, communicating effectively, and using available tools, professionals in this role can consistently meet performance expectations and maintain high data quality.

Is data capturing a difficult job?

Data capturing is generally considered a straightforward job that requires attention to detail, accuracy, and familiarity with data entry tools or software. The difficulty level depends on the complexity of the data and the volume to be processed, but it typically involves repetitive tasks that can be learned with training and experience.

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

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

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

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

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

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

Data Capture jobs near you
Infographic showing various Data Capture job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $56,965 per year, or $27.4 per hour.

Data Reliability Engineer

Damco Solutions

Basking Ridge, NJ • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Damco Solutions is seeking a Data Reliability Engineer II to develop, optimize, and manage large data lakes and data warehouses. The role involves monitoring database performance, troubleshooting issues, and implementing best practices for data integrity and security.
Responsibilities:
• Proactively monitor PostgreSQL RDS instances for performance, availability, and resource utilization (CPU, memory, storage, connections) using established monitoring tools (e.g., CloudWatch, Prometheus).
• Assist in identifying performance bottlenecks in PostgreSQL RDS. Apply basic performance tuning techniques like reviewing query execution plans, adding missing indexes, and recommending parameter adjustments.
• Monitor the health and performance of Debezium and Kafka Connect connectors, identifying and troubleshooting basic issues related to data capture and delivery.
• Monitor ETL workflows and data pipelines for errors, performance bottlenecks, and processing delays. Troubleshoot and resolve issues to ensure reliable and timely data movement.
• Provide support for data related issues and participate in root cause analysis.
• Monitor the execution of Apache Airflow DAGs, identify failed tasks, and troubleshooting and re-runs.
• Develop and maintain automation scripts and infrastructure as code (IAC) templates (e.g., using Crossplane, Terraform) to automate routine database tasks, deployments, and updates.
• Participate in on-call rotations to respond to database-related incidents and perform troubleshooting and root cause analysis.
• Assist in implementing and maintaining security best practices for cloud databases, including access controls, encryption, and compliance with regulatory requirements.
• Regularly audit and assess database security configurations.
• Configure and manage database backup and recovery strategies to ensure data integrity and availability in case of failures or data loss.
• Analyse database query performance and collaborate with developers to optimize SQL queries and schemas.
• Participate in continuous improvement initiatives to enhance the reliability, scalability, and performance of cloud databases.
• Assist in the design and optimization of database schemas for cloud environments.
Qualifications:
Required:
• Bachelor's degree in computer science, Information Technology, or a related field.
• 5-7 years of experience in database administration, with a focus on PostgreSQL.
• 2-4 years of hands-on experience with PostgreSQL RDS.
• Proactively monitor PostgreSQL RDS instances for performance, availability, and resource utilization (CPU, memory, storage, connections) using established monitoring tools (e.g., CloudWatch, Prometheus).
• Assist in identifying performance bottlenecks in PostgreSQL RDS. Apply basic performance tuning techniques like reviewing query execution plans, adding missing indexes, and recommending parameter adjustments.
• Monitor the health and performance of Debezium and Kafka Connect connectors, identifying and troubleshooting basic issues related to data capture and delivery.
• Monitor ETL workflows and data pipelines for errors, performance bottlenecks, and processing delays. Troubleshoot and resolve issues to ensure reliable and timely data movement.
• Provide support for data related issues and participate in root cause analysis.
• Monitor the execution of Apache Airflow DAGs, identify failed tasks, and troubleshooting and re-runs.
• Develop and maintain automation scripts and infrastructure as code (IAC) templates (e.g., using Crossplane, Terraform) to automate routine database tasks, deployments, and updates.
• Participate in on-call rotations to respond to database-related incidents and perform troubleshooting and root cause analysis.
• Assist in implementing and maintaining security best practices for cloud databases, including access controls, encryption, and compliance with regulatory requirements.
• Regularly audit and assess database security configurations.
• Configure and manage database backup and recovery strategies to ensure data integrity and availability in case of failures or data loss.
• Analyse database query performance and collaborate with developers to optimize SQL queries and schemas.
• Participate in continuous improvement initiatives to enhance the reliability, scalability, and performance of cloud databases.
• Assist in the design and optimization of database schemas for cloud environments.
Preferred:
• Exposure to Apache Spark for data processing.
• Basic understanding of Amazon Redshift and S3.
• Basic understanding of Apache Airflow for workflow orchestration.
• Familiarity with scripting languages (e.g., Python, Bash) is a plus.
• Having 'AWS Certified Database - Specialty' certification is a plus.
Company:
Damco Solutions is a provider of IT solutions, services, and products. Founded in 1996, the company is headquartered in Plainsboro, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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