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Data Capture Jobs in New York (NOW HIRING)

PB consulting

Ab Initio Data Engineer

Garwood, NJ · Hybrid

Implement CDC (Change Data Capture) and near-real-time data processing pipelines. * Manage metadata, lineage, and data governance activities within EME. * Troubleshoot production issues, perform root ...

New

PB consulting

Ab Initio Data Engineer

Green Village, NJ · Hybrid

Implement CDC (Change Data Capture) and near-real-time data processing pipelines. * Manage metadata, lineage, and data governance activities within EME. * Troubleshoot production issues, perform root ...

New

PB consulting

Ab Initio Data Engineer

Madison, NJ · Hybrid

Implement CDC (Change Data Capture) and near-real-time data processing pipelines. * Manage metadata, lineage, and data governance activities within EME. * Troubleshoot production issues, perform root ...

New

PB consulting

Ab Initio Data Engineer

Watchung, NJ · Hybrid

Implement CDC (Change Data Capture) and near-real-time data processing pipelines. * Manage metadata, lineage, and data governance activities within EME. * Troubleshoot production issues, perform root ...

New

PB consulting

Ab Initio Data Engineer

Westfield, NJ · Hybrid

Implement CDC (Change Data Capture) and near-real-time data processing pipelines. * Manage metadata, lineage, and data governance activities within EME. * Troubleshoot production issues, perform root ...

New

PB consulting

Ab Initio Data Engineer

Springfield, NJ · Hybrid

Implement CDC (Change Data Capture) and near-real-time data processing pipelines. * Manage metadata, lineage, and data governance activities within EME. * Troubleshoot production issues, perform root ...

New

PB consulting

Ab Initio Data Engineer

Warren, NJ · Hybrid

Implement CDC (Change Data Capture) and near-real-time data processing pipelines. * Manage metadata, lineage, and data governance activities within EME. * Troubleshoot production issues, perform root ...

New

PB consulting

Ab Initio Data Engineer

New Providence, NJ · Hybrid

Implement CDC (Change Data Capture) and near-real-time data processing pipelines. * Manage metadata, lineage, and data governance activities within EME. * Troubleshoot production issues, perform root ...

New

PB consulting

Ab Initio Data Engineer

Dunellen, NJ · Hybrid

Implement CDC (Change Data Capture) and near-real-time data processing pipelines. * Manage metadata, lineage, and data governance activities within EME. * Troubleshoot production issues, perform root ...

New

PB consulting

Ab Initio Data Engineer

Plainfield, NJ · Hybrid

Implement CDC (Change Data Capture) and near-real-time data processing pipelines. * Manage metadata, lineage, and data governance activities within EME. * Troubleshoot production issues, perform root ...

New

PB consulting

Ab Initio Data Engineer

New Vernon, NJ · Hybrid

Implement CDC (Change Data Capture) and near-real-time data processing pipelines. * Manage metadata, lineage, and data governance activities within EME. * Troubleshoot production issues, perform root ...

New

PB consulting

Ab Initio Data Engineer

Fanwood, NJ · Hybrid

Implement CDC (Change Data Capture) and near-real-time data processing pipelines. * Manage metadata, lineage, and data governance activities within EME. * Troubleshoot production issues, perform root ...

New

PB consulting

Ab Initio Data Engineer

Stirling, NJ · Hybrid

Implement CDC (Change Data Capture) and near-real-time data processing pipelines. * Manage metadata, lineage, and data governance activities within EME. * Troubleshoot production issues, perform root ...

New

PB consulting

Ab Initio Data Engineer

Gillette, NJ · Hybrid

Implement CDC (Change Data Capture) and near-real-time data processing pipelines. * Manage metadata, lineage, and data governance activities within EME. * Troubleshoot production issues, perform root ...

New

PB consulting

Ab Initio Data Engineer

Mountainside, NJ · Hybrid

Implement CDC (Change Data Capture) and near-real-time data processing pipelines. * Manage metadata, lineage, and data governance activities within EME. * Troubleshoot production issues, perform root ...

New

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Showing results 21-40

All JobsData Capture JobsData Capture Jobs in New York

Data Capture information

See New York salary details

$5

$29

$62

How much do data capture jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data capture in New York is $29.51, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $47.07 per hour, depending on experience, location, and employer.

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. Strong organizational skills and focus are important for success in this role.

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 the most commonly searched types of Data Capture jobs in New York? The most popular types of Data Capture jobs in New York are:
What are popular job titles related to Data Capture jobs in New York? For Data Capture jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Capture jobs in New York look for? The top searched job categories for Data Capture jobs in New York are:
Data Capture jobs near you
Infographic showing various Data Capture job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $61,386 per year, or $29.5 per hour.

Ab Initio Data Engineer

PB consulting

Garwood, NJ • Hybrid

Full-time

Posted 3 days ago

New

Job description

Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or related technical field.
  • 7+ years of ETL development experience with 5+ years of hands-on experience in Ab Initio development.
  • Strong expertise with:
    • Ab Initio GDE (Graphical Development Environment)
    • Co>Operating System (Co>Op)
    • Enterprise Meta>Environment (EME)
    • Conduct>It
    • Data Profiler and Continuous Flows
  • Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS).
  • Advanced SQL skills with experience in relational databases, especially DB2.
  • Strong experience with Unix/Linux shell scripting.
  • Solid understanding of data warehousing concepts:
    • Dimensional modeling
    • Slowly Changing Dimensions (SCD)
    • Star and Snowflake schemas
  • Experience designing and implementing Kafka-based data pipelines.
  • Strong debugging, troubleshooting, and performance tuning skills for large-volume data processing.
Preferred Qualifications
  • Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files
  • Exposure to Kubernetes or OpenShift environments.
  • Familiarity with Hadoop/Spark ecosystems and hybrid ETL architectures.
  • Experience with API-based integrations and streaming data solutions.
  • Prior experience as a technical lead or in client-facing architecture roles.
Roles and Responsibilities
  • Design, develop, and maintain complex ETL workflows and graphs using Ab Initio GDE.
  • Architect end-to-end data integration solutions across multiple source and target systems including: RDBMS, Mainframe systems, Flat files, Message queues, Streaming platforms
  • Optimize Ab Initio graph performance through: Parallelism, Partitioning techniques (Hash, Broadcast, Range), Layout optimization, Checkpointing strategies
  • Develop and manage solutions using Ab Initio components including Co>Op, EME, Conduct>It, Data Profiler, and Continuous Flows.
  • Implement CDC (Change Data Capture) and near-real-time data processing pipelines.
  • Manage metadata, lineage, and data governance activities within EME.
  • Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.
  • Define development standards, review ETL code, and enforce Ab Initio best practices.
  • Mentor junior and mid-level Ab Initio developers.
  • Collaborate with data architects, DBAs, and business teams to translate requirements into technical solutions.

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