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Remote Data Jobs in New Rochelle, NY (NOW HIRING)

Data Engineer II (Remote US)

New York, NY · Remote

$125K - $150K/yr

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 ...

Remote Role Overview We are looking for Generalists with strong analytical and critical-thinking skills to support AI and data-focused projects. The role involves reviewing, evaluating, and ...

New

Remote Role Overview We are looking for Generalists with strong analytical and critical-thinking skills to support AI and data-focused projects. The role involves reviewing, evaluating, and ...

New

Remote Gastroenteroloist

Manhattan, NY · Remote

$200 - $300/hr

Remote: Fully remote, collaborative environment. About Turing: Based in San Francisco, California ... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ...

Data Architect

New York, NY · On-site +1

$69.75 - $89.75/hr

Remote Eligible: No * Current remote employees will not be guaranteed to keep their remote status with their employing bank. Salary Salary for St. Louis: $140,000 - $170,000 * The listed salary is ...

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Data Engineer

Jersey City, NJ · Remote

$117K - $140K/yr

Remote, however travel might be required as per business requirements Where you're headed Laying the groundwork for data analysis and experimentation, you'll guide clients through the digital ...

Sales Engineer (Remote)

New York, NY · Remote

$100K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team.

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

SFMC & Data Specialist

Manhattan, NY · Remote

$60 - $67/hr

Salesforce Marketing Cloud & Data Specialist Location-Type ... Remote (must be able to work EST or CST hours) Start Date Is: ASAP Duration: 6-Month Contract ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused on improving product reliability, safety, and user experience through data. In this role, you will ...

Showing results 41-60

Remote Data information

See New Rochelle, NY salary details

$47.3K

$169.8K

$250.6K

How much do remote data jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote data in New Rochelle, NY is $169,814.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,400.00 and $174,900.00 per year, depending on experience, location, and employer.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from a home or remote location. These roles typically require basic computer skills, attention to detail, and often use tools like spreadsheets or data management software. They are commonly offered as part-time or flexible schedules and are suitable for individuals seeking remote work opportunities.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible positions, suitable for individuals seeking remote work opportunities.

What are the most commonly searched types of Data jobs in New Rochelle, NY?

The most popular types of Data jobs in New Rochelle, NY are:

What cities near New Rochelle, NY are hiring for Remote Data jobs?

Cities near New Rochelle, NY with the most Remote Data job openings:

Infographic showing various Remote Data job openings in New Rochelle, NY as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $169,814 per year, or $81.6 per hour.

Data Engineer II (Remote US)

New York, NY • Remote

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 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.