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Data Capture Jobs in New York (NOW HIRING)

Canoe Intelligence

Data Engineer

Manhattan, NY · On-site +1

$110K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

By combining industry expertise with the most sophisticated data capture technologies, Canoe's technology automates the highly-frustrating, time-consuming, and costly manual workflows related to ...

Teamwass

Creative Product Technologist, Data & AI

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, prototype, and ship fan-facing and internal tools, including data-visualization, data-capture, measurement, dashboard, and web-app products. * Translate digital account team briefs, client ...

Translucent

Senior Data Engineer

New York, NY · On-site

$116K - $157K/yr

Capture and understand the source-of-truth financial and clinical record models used by our customers. Potentially go on-site with customers to capture business logic. * Optimize data ingestion and ...

Amigo

Senior Software Engineer - Data [NYC or SF]

New York, NY · On-site

$220K - $260K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Designed event-driven architectures, change data capture (CDC), online serving systems, or reverse ETL pipelines * Built connector frameworks or ingestion platforms that integrate enterprise ...

David Yurman

Data Engineer

New York, NY · On-site

$140K - $150K/yr

  • Medical

  • Retirement

  • PTO

Build incremental data processing workflows with change data capture (CDC) and idempotent * designs * Create multi-stage orchestration workflows with parallel execution capabilities * Develop ...

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All JobsData Capture JobsData Capture Jobs in New York

Data Capture information

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How much do data capture jobs pay per hour?

As of Aug 13, 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.

Data Engineer

Canoe Intelligence

Manhattan, NY • On-site, Remote

$110K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Data Engineer

LOCATION: Hybrid in New York City

SALARY: $110,000 - $140,000

The Role:

We are seeking a Data Engineer to join our Data Engineering team. This team is building the data foundations of Canoe’s industry-leading Alts Data Platform, and will play a critical role in its growth and expansion of offerings over the coming years. You will play a key role in designing and building scalable, reliable, and maintainable data systems, contributing to the architecture and development of our data platform, and helping define the Data Engineering team’s future direction.

What You’ll Do:

  • Contribute to the design and development of our Data platform.

  • Work closely with AI / ML Engineers to build intelligence and automation into all Canoe systems.

  • Design and implement data models, data pipelines, and data architectures in support of new Canoe product offerings.

  • Participate in cross-functional teams as Data Engineering’s representative.

  • Build observable systems and be an organization leader in operational excellence.

What We’re Looking For:

  • Minimum 5 years of experience in software development, with at least two in a Data Engineering role

  • Experience with SQL Databases and relational data modeling.

  • Experience working with data at scale.

  • A strong sense of ownership and accountability.

  • Curiosity and a willingness to learn new technologies.

  • Great communication skills.

  • A history of working well with technical and non-technical stakeholders.

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

  • Experience with our core technologies: Kafka(preferred), PostgreSQL or similar relational database, AWS or similar cloud service, Snowflake or redshift , Dbt (preferred), Airflow or similar orchestration tool.

What You’ll Get:

  • Medical, dental, vision benefits

  • Flexible PTO

  • 401(k)

  • Flexible work from home policy

  • Home office stipend

  • Employee Assistance Program

  • Gym/Wifi reimbursement

  • Education assistance

  • Parental Leave

Our Values:

  • Client First —> Listen, and deliver client-centric solutions

  • Be An Owner —> Take initiative, improve situations, drive positive outcomes

  • Excellence —> Always set the highest standard for yourself and others

  • Win Together —> 1 + 1 = 3

Who We Are:

Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.

Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.