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Remote Data Entry Coding Jobs in Queens, NY (NOW HIRING)

Data Engineer II (Remote US)

New York, NY · Remote

$125K - $150K/yr

REMOTE- US THE ROLE: We're looking for a Data Engineer II to join Splice's Data Engineering team ... Proficiency in Python for pipeline logic, data transformation, and testing (maintainable code, not ...

Write structured, detailed workflows covering order entry, verification, shipment tracking, and ... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ...

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based ... Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient. * Maintain ...

Growth Engineer (Remote)

New York, NY · Remote

$120K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We build agentically here - Claude Code, MCP servers, and agent skills are the daily workflow. What ...

Growth Engineer (Remote)

New York, NY · Remote

$120K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We build agentically here - Claude Code, MCP servers, and agent skills are the daily workflow. What ...

Growth Engineer (Remote)

New York, NY · On-site +1

$120K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We build agentically here - Claude Code, MCP servers, and agent skills are the daily workflow. What ...

Data & AI Engineer

New York, NY · Remote

$125K - $150K/yr

Remote (US-Based / Eastern or Central Time Zone Preferred) * Employment Type: Full-Time W2 Ready to ... Implement robust CI/CD pipelines and Infrastructure-as-Code (Terraform, Databricks CLI) to ...

Procurement Administrator

New York, NY · On-site +1

$25 - $30/hr

This is a remote position with occasional travel required (less than 10%) for team meetings, vendor ... Proficiency in Microsoft Excel (comfortable with basic formulas, filtering, and data entry); ERP ...

Data & AI Engineer

New York, NY · On-site +1

$125K - $150K/yr

Remote (US-Based / Eastern or Central Time Zone Preferred) * Employment Type: Full-Time W2 Ready to ... Implement robust CI/CD pipelines and Infrastructure-as-Code (Terraform, Databricks CLI) to ...

Data & AI Engineer

New York, NY · Remote

$117K - $140K/yr

Remote (US-Based / Eastern or Central Time Zone Preferred) * Employment Type: Full-Time W2 Ready to ... Implement robust CI/CD pipelines and Infrastructure-as-Code (Terraform, Databricks CLI) to ...

This is a remote position with occasional travel required (less than 10%) for team meetings, vendor ... Proficiency in Microsoft Excel (comfortable with basic formulas, filtering, and data entry); ERP ...

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

Data Engineer II Location-Type: Remote (EST hours preferred) Start Date Is: ASAP Duration ... This will include writing and maintaining code in Python and SQL, developing on AWS, and selecting ...

Showing results 41-60

Remote Data Entry Coding information

See Queens, NY salary details

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How much do remote data entry coding jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for remote data entry coding in Queens, NY is $20.32, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.84 per hour, depending on experience, location, and employer.

What is remote data entry coding?

Remote data entry coding involves entering, updating, and managing data in digital systems from a location outside a traditional office environment. This job typically requires accurately inputting information, such as codes, numbers, or text, into databases or software platforms. Employees often work from home and may handle sensitive data, making attention to detail and confidentiality important. Common industries hiring for these roles include healthcare, finance, and e-commerce. Remote data entry coding jobs usually require basic computer skills, familiarity with relevant software, and reliable internet access.

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

To thrive as a Remote Data Entry Coding Specialist, you need strong attention to detail, fast and accurate typing skills, and a solid understanding of data management procedures, often supported by a high school diploma or equivalent. Familiarity with data entry software, spreadsheets (such as Microsoft Excel or Google Sheets), and sometimes basic coding or database management systems is typically required. Excellent organizational skills, self-motivation, and effective time management are crucial soft skills for remote work success. These competencies ensure error-free data processing, maintain data integrity, and support efficient workflow in a remote environment.

What are the most common challenges faced in a remote data entry coding role and how can they be managed?

One of the main challenges in a remote data entry coding position is maintaining high accuracy and attention to detail while working independently. Distractions at home and repetitive tasks can sometimes lead to errors or decreased productivity. Setting up a dedicated, quiet workspace and following a structured daily routine can help minimize mistakes. Additionally, staying connected with team members via regular check-ins and using collaboration tools ensures data consistency and timely communication of any issues.

What is the difference between Remote Data Entry Coding vs Remote Medical Coding?

AspectRemote Data Entry CodingRemote Medical Coding
Required CredentialsBasic data entry skills, sometimes certification in data managementMedical coding certification (e.g., CPC, CCS)
Work EnvironmentHome or office, computer-basedHome or office, computer-based, often in healthcare settings
Industry UsageVarious industries including healthcare, finance, retailPrimarily healthcare industry
Search & Comparison IntentFocus on data entry tasks, less specializedFocus on medical coding, healthcare documentation

Remote Data Entry Coding involves basic data entry tasks across various industries, requiring minimal certifications. Remote Medical Coding is specialized for healthcare, requiring medical coding certifications. While both roles are remote and computer-based, medical coding demands industry-specific knowledge and credentials, making it more specialized than general data entry coding.

Can you get a remote data entry coding job with no experience?

Remote data entry coding jobs often require basic computer skills and attention to detail, but many entry-level positions do not require prior experience. Candidates can improve their chances by learning relevant software, such as spreadsheet or database tools, and demonstrating accuracy and reliability. Some employers may offer training or onboarding for new hires without experience.

Do remote data entry coding jobs really exist?

Remote data entry coding jobs are real positions that involve inputting and coding data from a remote location, often requiring skills in data management and familiarity with specific software or coding systems. These jobs are commonly found in industries like healthcare, finance, and administration, and may require attention to detail and accuracy. They are widely available through various online job platforms and can offer flexible schedules.

What cities near Queens, NY are hiring for Remote Data Entry Coding jobs?

Cities near Queens, NY with the most Remote Data Entry Coding job openings:

Infographic showing various Remote Data Entry Coding job openings in Queens, NY as of July 2026, with employment types broken down into 80% Full Time, 14% Part Time, 1% Temporary, and 5% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $42,265 per year, or $20.3 per hour.

Data Engineer II (Remote US)

New York, NY • Remote

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

WHO WE ARE:  

Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators.

HOW WE WORK:  

At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that's thrown at us.
Splice embraces a culture of remote work. You'll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers.
When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready?

JOB TITLE: Data Engineer II 
LOCATION: REMOTE- US


THE ROLE: 

We're looking for a Data Engineer II to join Splice's Data Engineering team and help scale the platform that powers creator payouts, revenue reporting, and product analytics across Splice's product lines.

Data Engineering builds and maintains the reliable foundation that makes trusted data possible, enabling teams across Splice to work from a governed, consistent source of truth. We are accountable for the warehouse and pipeline foundation; ingestion, transformations, and the standards and quality guardrails that keep data consistent, timely, and usable. This is a mid-level, high-ownership role: engineers here carry features from technical design through delivery, monitoring, and documentation, and participate in our on-call rotation.

The work requires hands-on data engineering experience. Our stack; BigQuery, SQLMesh, Python, Dagster- is distinct from Splice's web engineering stack, and effective contribution requires domain expertise in data pipeline systems, not general software engineering background.

TEAM INFORMATION: 

You'll be joining Splice's Data Engineering team, a small, embedded platform team responsible for the pipelines, transformations, and warehouse infrastructure the rest of the company depends on. Our systems support finance-critical processes (contributor payouts, GAAP revenue reporting), product analytics, and data reliability for customer-facing features like recommendations. We operate with a shared on-call rotation and a strong bias toward observable, well-documented, durable systems.

WHAT YOU'LL DO: 

Pipeline Development & Transformation

  • Build and maintain data models in SQLMesh, including incremental strategies, testing, and documentation
  • Continuously improve and evolve our orchestration and transformation infrastructure as the platform scales
  • Modernize legacy pipeline jobs in Python and SQLMesh, reducing technical debt over time

Reliability & Observability

  • Participate in on-call rotation; triage and resolve incidents including ETL failures, data unavailability, and core metric breakage
  • Build introspectable software: define alert thresholds, emit metrics and logs, produce dashboards, and establish closed-loop escalation paths
  • Improve observability across the platform so failures are caught early and resolved quickly

Finance & Revenue Pipelines

  • Extend and maintain pipelines powering creator payouts and GAAP-compliant revenue reporting across Splice's product lines
  • Build pipeline support for new revenue streams as Splice launches them

Platform Quality & Optimization

  • Improve query performance and reduce compute costs in BigQuery
  • Contribute to ingestion platform work and product analytics infrastructure
  • Uphold our definition of done: validation complete, documentation updated, monitoring in place before closing a ticket

JOB REQUIREMENTS:

  • 3+ years of hands-on data engineering experience in a production environment
  • Proficiency in SQL — window functions, CTEs, query optimization, execution plan analysis
  • Proficiency in Python for pipeline logic, data transformation, and testing (maintainable code, not just scripts)
  • Experience with a modern transformation framework — SQLMesh, dbt, or equivalent — including incremental models, testing, and documentation
  • Production experience with a cloud data warehouse (we use BigQuery); understands partitioning, clustering, and cost management
  • Experience with at least one workflow orchestrator (Dagster, Airflow, Prefect, or equivalent)
  • Demonstrated ability to build observable, reliable data systems — alerting, dashboards, and data quality checks
  • Comfortable owning small-to-medium features from technical design through delivery with limited guidance

SPLICE BENEFITS: 

  • Compensation & Equity: Competitive pay with annual reviews and equity opportunities.
  • Time Off: Unlimited PTO to recharge and thrive.
  • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents.
  • Retirement Savings: 401(k) plan with immediate vesting and company match.
  • Parental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents.
  • Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide.
  • Professional Growth: Annual learning budget, leadership programs, and team ambassador opportunities.
  • Community & Connection: Inclusive events, team meet-ups, and vibrant Employee Resource Groups.

The national pay range for this role is $94,952 - $118,690. Individual compensation will be commensurate with the candidate's experience.

Splice is an Equal Opportunity Employer 
Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.