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Remote Data Capture Jobs in New York (NOW HIRING)

Sr. Data Analyst - Remote

Manhattan, NY ยท On-site +1

$94K - $119K/yr

Details: Sr. Data Analyst Duration: Full time / Direct Hire Location: 100% Remote but candidate ... capture all aspects of user engagement. * Create a data dictionary and document the data model ...

Data Steward

Manhattan, NY ยท On-site +1

Remote Reporting Relationships: This position reports to CareAbout Health's SVP Medical Economics ... Design and maintain a data quality / governance incident reporting process to capture, track ...

... capture more value across the full patient lifecycle. We've recently raised our Series B and are ... Remote is possible for exceptional candidates. * We have video on for our weekly team syncs and ...

New

United States (Remote) Interested applicants must reside in one of the following approved states ... Facilitate workshops with business and technical stakeholders to capture requirements, refine ...

Metadata Developer

Manhattan, NY ยท Remote

$115K/yr

Build automated metadata synchronization and lineage capture solutions * Support metadata quality ... Insurance Data Domains (P&C) --- This is a remote position.

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Remote Data Capture information

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

To thrive as a Remote Data Capture Specialist, you need strong attention to detail, data entry proficiency, and a solid understanding of data management processes, often backed by a high school diploma or relevant experience. Familiarity with data capture software, spreadsheets (like Microsoft Excel or Google Sheets), and database management systems is typically required. Excellent organization, time management, and communication skills help you efficiently handle large volumes of data and collaborate remotely. These skills ensure accurate, timely data collection and integrity, which are critical for business operations and informed decision-making.

What are some common challenges faced in a remote data capture role, and how can they be managed effectively?

One of the main challenges in a Remote Data Capture role is maintaining accuracy and consistency when entering or verifying large volumes of data, especially when working independently. Distractions at home and varying digital tools can also impact productivity. To manage these challenges, it's important to establish a dedicated workspace, use reliable internet connections, and adhere to standardized procedures or checklists. Regular communication with team members and supervisors helps address data discrepancies quickly and ensures alignment with project goals.

What is the difference between Remote Data Capture vs Remote Data Entry?

AspectRemote Data CaptureRemote Data Entry
Primary FocusCollecting and recording data from various sources, often involving validation and initial processingInputting data into systems, typically from digital or physical sources
Required SkillsData collection techniques, attention to detail, basic technical knowledgeTyping speed, accuracy, familiarity with data management software
Work EnvironmentFieldwork, remote or on-site, involving data collection toolsRemote, computer-based work from home or office
Common CertificationsNone specific, but data collection or survey certifications can helpData entry certifications or proficiency tests

Remote Data Capture involves gathering data from various sources, often requiring validation and initial processing, while Remote Data Entry focuses on inputting data into systems with high accuracy. Both roles are remote-friendly and require attention to detail, but they differ in scope and primary tasks.

Are any remote data capture jobs legit?

Remote data capture jobs are legitimate roles that involve collecting and inputting data from various sources, often requiring attention to detail and familiarity with data management tools. However, job seekers should verify the employer's credibility, avoid jobs that require upfront payments, and be cautious of scams promising high pay for minimal work.

What is remote data capture?

Remote data capture is a job where individuals collect, input, or verify data from a remote location, often using digital tools and software. It requires attention to detail, familiarity with data management systems, and the ability to work independently outside a traditional office setting.

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 Remote Data Capture jobs in New York?

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

What cities in New York are hiring for Remote Data Capture jobs?

Cities in New York with the most Remote Data Capture job openings:

Infographic showing various Remote Data Capture job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Engineer - Remote / Telecommute

CYNET SYSTEMS

Holmdel, NJ โ€ข Remote

$55 - $60/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago


Job description

Job Overview:

Pay Range: $55.00hr - $60.00hr

Requirement/Must Have:

  • 6+ years of hands-on experience in data engineering, data warehousing, or data platform development.
  • Strong production experience building and supporting end-to-end data pipelines.
  • Expert SQL, including complex queries, query-plan analysis, and performance tuning.
  • Strong development skills in Python, Java, or Scala.
  • Hands-on experience with Apache Iceberg, Delta Lake, or Apache Hudi.
  • Experience with distributed query technologies such as Trino, Presto, or Spark SQL.
  • Hands-on Snowflake experience, including data modeling, performance optimization, external/Iceberg tables, secure data sharing, or access management.
  • Experience with streaming and Change Data Capture technologies such as Apache Flink, Kafka, Spark Structured Streaming, or Debezium.
  • Strong understanding of dimensional modeling, data quality, schema evolution, and data contracts.
  • Experience with Kubernetes, containers, Continuous Integration and Continuous Deployment, and infrastructure-as-code.
  • Experience implementing monitoring, alerting, lineage, reconciliation, and operational support for production data platforms.
  • Ability to independently troubleshoot complex production issues and drive them through resolution.

Responsibilities:

  • Build and operate production-grade batch and streaming data pipelines across SQL Server, cloud applications, device/event streams, Customer Relationship Management systems, and third-party sources.
  • Develop ingestion, transformation, and enrichment pipelines using Apache Flink, Kafka, Change Data Capture, SQL, and Python/Java/Scala.
  • Implement lakehouse data layers across landing, raw, conformed, and consumption zones using Apache Iceberg and Trino.
  • Build dimensional and analytical models for entities such as buildings, tenants, credentials, devices, and people.
  • Implement robust handling for Change Data Capture, late-arriving data, retries, backfills, replay, schema evolution, and data reconciliation.
  • Build and maintain integration between the lakehouse and Snowflake, including Iceberg-backed/external tables, secure sharing, and downstream data contracts.
  • Develop automated data-quality checks, pipeline monitoring, lineage, freshness alerts, and operational dashboards.
  • Troubleshoot and resolve production data issues, pipeline failures, performance bottlenecks, and data-quality problems.
  • Optimize SQL queries, storage layouts, partitioning, clustering, compute utilization, and overall platform cost.
  • Implement security controls including role-based access, row/column-level security, masking, and protection of sensitive data.
  • Build and maintain Continuous Integration and Continuous Deployment pipelines, automated testing, infrastructure-as-code, and environment promotion processes.
  • Participate in production support, incident resolution, Root Cause Analysis, deployment, and on-call activities.
  • Work closely with Product, Application Engineering, Quality Assurance, DevOps/Site Reliability Engineering, Analytics, and globally distributed engineering teams.
  • Contribute to technical design decisions and documentation while remaining primarily hands-on in implementation and production delivery.

Nice to Have:

  • Experience with multi-tenant Software as a Service data platforms and customer data isolation.
  • Experience integrating open lakehouse platforms with Snowflake.
  • Azure cloud experience.
  • Experience with Airflow, Dagster, dbt, Power BI, Looker, or Superset.
  • Experience with data governance, cataloging, masking, and access-control frameworks.
  • Exposure to Internet of Things/device telemetry, physical security, commercial real estate, or property technology.
  • Experience using Artificial Intelligence-assisted engineering tools to accelerate data development.

Skills:

  • Apache Iceberg.
  • Delta Lake.
  • Apache Hudi.
  • SQL.
  • Python.
  • Java.
  • Scala.
  • Apache Flink.
  • Kafka.
  • Trino.
  • Snowflake.
  • Kubernetes.
  • CI/CD.

Qualification And Education:

  • Bachelor’s or Master’s Degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

Benefits:

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.


About Cynet Systems


Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.


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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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