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Data Encoder Jobs in New York (NOW HIRING)

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Data Engineer

New York, NY · Hybrid

$140K - $155K/yr

Knowledge Graph & Retrieval - Design graph-based data structures encoding relationships across markets, assets, tenants, and transactions. Build retrieval pipelines (RAG, hybrid search, structured ...

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Data Engineer

New York, NY · On-site

$140K - $155K/yr

Knowledge Graph & Retrieval - Design graph-based data structures encoding relationships across markets, assets, tenants, and transactions. Build retrieval pipelines (RAG, hybrid search, structured ...

Nestle

Senior Data Scientist

Bridgewater, NJ

Expertise in handling missing data, scaling, encoding categorical variables, and dimensionality reduction techniques. * Hands on experience in designing and analyzing A/B tests and other experimental ...

Mecka AI

Forward Deployed Data Engineer

New York, NY · On-site

$180K - $250K/yr

Working literacy in video understanding, embeddings, and encoders - enough to reason about what a dataset teaches a model and where signal is missing. * Experience building data-quality, coverage, or ...

Nestlé S.A.

Senior Data Scientist

Bridgewater, NJ · On-site

$130 - $160/hr

Expertise in handling missing data, scaling, encoding categorical variables, and dimensionality reduction techniques. * Hands on experience in designing and analyzing A/B tests and other experimental ...

Virtusa Corporation

Vectorization Expert

New York, NY · On-site

... multimodal data into high-quality embeddings using models like BGE, Ada, or Cohere. Manage and ... Implement re-ranking pipelines using cross-encoders to refine results before sending them to LLMs.

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Data Encoder information

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$10

$35

$79

How much do data encoder jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data encoder in New York is $35.72, according to ZipRecruiter salary data. Most workers in this role earn between $13.40 and $67.28 per hour, depending on experience, location, and employer.

What is a data encoder?

A Data Encoder is responsible for inputting, updating, and maintaining accurate data in computer systems or databases. They ensure data integrity by verifying and correcting information as needed. The role often involves handling confidential records, organizing files, and generating reports. Strong attention to detail, typing skills, and familiarity with data management software are essential for this position.

What are the typical daily responsibilities of a data encoder?

A Data Encoder is primarily responsible for accurately inputting and updating information into digital databases or systems, often working with large volumes of data from paper or electronic sources. Typical daily tasks include reviewing documents for errors, verifying data for completeness and accuracy, and organizing files for easy retrieval. Data Encoders may also collaborate closely with other administrative staff or departments to ensure that records remain up-to-date and accessible. In some organizations, they also assist with basic data analysis or generate routine reports to support business operations.

What are the key skills and qualifications needed to thrive in the data encoder position, and why are they important?

To thrive as a Data Encoder, you need excellent attention to detail, fast and accurate typing skills, and a high school diploma or equivalent as a common minimum qualification. Familiarity with data entry software, spreadsheet applications like Microsoft Excel, and sometimes database management systems is typically required. Strong organization, time management, and the ability to work independently or as part of a team are valuable soft skills in this role. These skills are crucial for ensuring the accuracy, reliability, and efficiency of data processing tasks within various industries.

Can I become a data encoder with no experience?

Data encoder positions typically do not require prior experience, as training is often provided on the job. Basic skills in typing, attention to detail, and familiarity with computers or data entry software are helpful for starting in this role.

How much do data encoders typically make?

Data encoders typically earn an hourly wage ranging from $10 to $20, depending on experience, location, and the complexity of the data. Entry-level positions may pay closer to the lower end, while experienced encoders or those with specialized skills can earn higher wages. Many roles also offer part-time or flexible schedules.

Is a data encoder a good job?

A data encoder job involves inputting and updating information into computer systems, often requiring attention to detail and basic computer skills. It can offer steady work with flexible hours, but typically has low to moderate pay and limited advancement opportunities. The role is suitable for those seeking entry-level work in administrative or data management fields.

What are the most commonly searched types of Data Encoder jobs in New York?

The most popular types of Data Encoder jobs in New York are:

What are popular job titles related to Data Encoder jobs in New York?

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

What job categories do people searching Data Encoder jobs in New York look for?

The top searched job categories for Data Encoder jobs in New York are:

What cities in New York are hiring for Data Encoder jobs?

Cities in New York with the most Data Encoder job openings:

Data Encoder jobs near you
Infographic showing various Data Encoder job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $74,290 per year, or $35.7 per hour.

Senior Research Data Scientist, Meridian AI

Manhattan, NY • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

$174 - $252/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
  • Experience with econometrics, machine learning and Bayesian statistics.
Preferred qualifications:
  • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
About the job:

As a part of the Meridian AI team, you will focus on revolutionizing Marketing Mix Modeling (MMM) by building an autonomous, agent-based AI product that automates the traditionally complex, high-friction model-building life-cycle.

Your mission is to democratize access to advanced media effectiveness measurement for Google's advertisers and agencies while also drastically improving modeling productivity and quality.

In this role, you will have the unique opportunity to bridge the gap between traditional data science and the next‑generation AI. You will combine your deep econometric and statistical expertise with cutting‑edge agentic technology to build Subject Matter Expert (SME) agents from the ground up, effectively encoding human analytical intuition into an autonomous system that scales expert‑level measurement globally.

You will bring scientific and statistical methods to bear on the challenges of advertising product creation, development and improvement with a deep, data‑driven appreciation for the behaviors of the end user and the ecosystem. As a Data Scientist on the Meridian AI team, you will shape the strategic technical direction of Google’s next‑generation marketing analytics. In this pioneering role, you will act as the crucial bridge between classical data science and frontier AI.

Your primary focus will be leading the research and development of advanced Marketing Mix Modeling (MMM) methodologies and embedding rigorous Bayesian statistics, causal inference, and machine learning into autonomous AI agents. By encoding human econometric reasoning into Large Language Model (LLM)-driven workflows, you will build intelligent systems capable of solving highly complex measurement challenges from the ground up, ensuring Google remains the undisputed industry leader in automated, scalable marketing measurement.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:
  • Lead the design and development of innovative measurement methodologies and products, setting the strategic technical direction for Meridian and AI development.
  • Serve as the core bridge between classical data science and frontier AI by embedding rigorous Bayesian statistical frameworks into autonomous AI agents, encoding econometric reasoning, heuristic logic, and human analytical intuition into LLM-driven workflows from the ground up.
  • Pioneer advanced quantitative methods by integrating cutting-edge causal inference, statistical modeling, and machine learning techniques to solve highly ambiguous and complex measurement challenges.
  • Drive the research and development of next‑generation Marketing Mix Modeling (MMM) methodologies, setting the technical strategy for integrating advanced econometric models into the Meridian AI product suite, ensuring Google remains at the forefront of marketing analytics.
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