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Remote Data Manager Jobs in Princeton, NJ (NOW HIRING)

Growth Engineer (Remote)

New York, NY ยท On-site +1

$120K - $130K/yr

Data quality, data management, or data observability industry experience. Benefits * $120,000-$130,000 base salary + equity. * Fully remote (US-based), with our Brooklyn office available if you want ...

Growth Engineer (Remote)

New York, NY ยท Remote

$120K - $130K/yr

Data quality, data management, or data observability industry experience. Benefits * $120,000-$130,000 base salary + equity. * Fully remote (US-based), with our Brooklyn office available if you want ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

About the job Juni or Data Analyst (Remote) As the Data Analyst for the Security Analytics ... Manage successful Metrics & Reporting Delivery * Perform ad-hoc Analysis that contributes to ...

Data Engineer II (Remote US)

New York, NY ยท Remote

$125K - $150K/yr

REMOTE- US THE ROLE: We're looking for a Data Engineer II to join Splice's Data Engineering team ... management * Experience with at least one workflow orchestrator (Dagster, Airflow, Prefect, or ...

Data Analyst II

New York, NY ยท On-site +1

$52K - $73K/yr

Remote Work - New York, Albany, New York, United States of America, 12224 Opening: Worker Subtype ... Manage NDNQI submission process for nursing indicators * Develop, maintain, and troubleshoot data ...

Product Manager, Data

New York, NY ยท On-site +1

$120K - $150K/yr

Product Manager, Data Salary : $120,000 - $150,000 Remote (US) East-Coast Hours About Castellum.AI Castellum.AI is an AI layer for compliance infrastructure. We provide intelligence data, AI-driven ...

Data Architect

New York, NY ยท On-site +1

$69.75 - $89.75/hr

These platforms manage massive collections of economic time-series data, historical revisions ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

Showing results 41-60

Remote Data Manager information

See Princeton, NJ salary details

$32.5K

$101.8K

$180.3K

How much do remote data manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data manager in Princeton, NJ is $101,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $131,600.00 per year, depending on experience, location, and employer.

What is a remote data manager?

A Remote Data Manager is a professional responsible for overseeing the collection, storage, organization, and analysis of data for an organization, while working from a location outside of a traditional office. They ensure data integrity, security, and compliance with relevant regulations. Their duties often include managing databases, setting data policies, and collaborating with teams to support data-driven decision making. Remote Data Managers use various digital tools to communicate and manage data remotely, making this role ideal for those seeking flexible work arrangements.

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

To thrive as a Remote Data Manager, you need a solid background in data management, database administration, and data analysis, typically supported by a degree in computer science or a related field. Expertise in tools such as SQL, data visualization platforms (e.g., Tableau or Power BI), and familiarity with data privacy regulations are commonly required, along with relevant certifications like CDMP or PMP. Strong organizational skills, attention to detail, and effective remote communication abilities set outstanding candidates apart. These skills ensure data integrity, facilitate collaboration across distributed teams, and drive data-driven decision-making within organizations.

What are some typical challenges faced by remote data managers when coordinating with cross-functional teams?

Remote Data Managers often need to collaborate with teams across different departments and time zones, which can make communication and project alignment challenging. They may face difficulties in ensuring data consistency, timely updates, and maintaining data security standards when team members are dispersed. Effective use of collaboration tools, clear documentation, and regular virtual meetings are essential to overcome these challenges and ensure smooth operations.

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

AspectRemote Data ManagerData Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; experience with database managementBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization tools
Work EnvironmentRemote, often within IT or data teamsRemote or on-site, within business or research teams
Employer & Industry UsageTech companies, healthcare, finance, where data management is criticalMarketing, finance, consulting, analyzing data trends

Remote Data Managers focus on maintaining and organizing data systems, ensuring data integrity, and managing databases remotely. Data Analysts interpret data, generate reports, and provide insights. While both roles work with data, the Remote Data Manager handles data infrastructure, whereas Data Analysts focus on analyzing data to support decision-making.

What are popular job titles related to Remote Data Manager jobs in Princeton, NJ?

For Remote Data Manager jobs in Princeton, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Data Manager jobs in Princeton, NJ look for?

The top searched job categories for Remote Data Manager jobs in Princeton, NJ are:

What cities near Princeton, NJ are hiring for Remote Data Manager jobs?

Cities near Princeton, NJ with the most Remote Data Manager job openings:

Infographic showing various Remote Data Manager job openings in Princeton, NJ as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 9% In-person, and 91% Remote job distribution, with an average salary of $101,834 per year, or $49 per hour.

Growth Engineer (Remote)

Soda Data

New York, NY โ€ข On-site, Remote

$120K - $130K/yr

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago


Job description

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call.
Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. The category is growing rapidly because AI doesn't work on bad data.
We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it. You'll join the Growth team reporting to a co-founder, and build the systems the rest of the team runs on: content, visuals, videos, skills, agents- whatever the biggest constraint is that quarter. Your first and largest project is the content engine.
Requirements
We publish a lot - webinars, technical blogs, founder LinkedIn, product marketing - and most of it is still hand-made. Your job is to build a pipeline that turns a raw source into content a Staff Data Engineer or CDO with 20 years of experience would read and forward: real prompt engineering, a defined voice per author, evals that catch regressions, and the taste to kill output that's accurate and lifeless. Anti-slop is the point: an engine that ships slop faster has negative value. We build agentically here - Claude Code, MCP servers, and agent skills are the daily workflow.
What You'll Do
  • Build the content engine end-to-end: ingestion, theme extraction, drafting, evals, and the review step
  • Create content including webinars and product videos
  • Own and grow audience
  • Our team writes in distinct ways; the engine should sound like them, not like a model.
  • Make quality measurable.
  • Own the numbers - reach, engagement, pipeline influence - and cut what doesn't work.
  • Contribute the rest of the Growth stack as constraints move.
  • Work directly with the founders, customers, customer engineers, to lean and improve on how Soda talks about the category. Your opinion matters here.
You Should Have
  • 3+ years building things that go to market: growth engineering, marketing ops, technical content, RevOps, or a founder background. Titles vary; portfolios don't.
  • You can write, story tell, and you can tell good writing from bad: send us something you wrote that a technical audience read. The most important line in this ad.
  • Serious prompt engineering: multi-step LLM pipelines with structured outputs and evals, not chatting with a model. You know why the naive version produces slop.
  • Enough code to be autonomous: Python or TypeScript, APIs, webhooks, a database. Nothing should be blocked waiting for an engineer.
  • Generalist instinct: you find the constraint and fix it, and you'd rather build the workflow than do the task fifteen more times.
  • Enough data fluency to be credible: you can hold your own on pipelines, dbt, and warehouses.
  • Independence: you don't need hand-holding in a distributed, async team across 12+ countries.
  • Fluent English.
Good to Have
  • Marketing or growth in data, developer tools, or infrastructure.
  • You've grown a technical audience of your own: newsletter, blog, LinkedIn, open source.
  • Building agentic workflows: MCP servers, Claude skills, or tool-using agents shipped to real users.
  • Data quality, data management, or data observability industry experience.

Benefits
  • $120,000-$130,000 base salary + equity.
  • Fully remote (US-based), with our Brooklyn office available if you want one.
  • All the tokens you need, across all frontier models.
  • Real ownership, real impact, no micromanagement.
  • PTO, 401k, medical insurance.

Our Values
We value freedom with responsibility, transparency, and a growth mindset. We avoid politics, have no tolerance for dishonesty, and value open and direct communication without judgment. We proactively bring up and address potential issues before they become critical, and we overcommunicate frequently. Working at Soda, you will have full autonomy to make impactful decisions.
Why you will love to join Soda
  • You own a function, not a queue: the content engine is yours to design, and behind it is a list of things nobody here has built yet.
  • Direct line to the founders: how Soda talks about the category gets decided with you in the room.
  • Be part of a transformation: data quality is having its moment, and we're at the front of it.
  • Work on your own terms: fully remote, flexible hours, colleagues in 12+ countries.
What you might not love
  • Rapidly changing priorities: our roadmap can pivot quickly. It's a fast-paced environment with a LOT of work to be done.
  • New and broad: no playbook for this role yet, and you'll be judged on output, not architecture. An elegant pipeline nobody reads from is a failure.
Hiring Process
  1. Screening - send one piece of writing or video you're proud of, and one thing you've built with AI.
  2. 20-minute phone screen - with a founder
  3. Craft deep dive (90 min)
  4. Culture fit (1 hour)

We answer every application, and every candidate hears back within 3-5 days of each step. If it's not a hell yes, it's a no, and we'll tell you quickly and kindly.