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Data Io Jobs (NOW HIRING)

Quanta Search

Data Research Developer

Manhattan, NY

Optimize data IO and load balancing for distributed, grid computation * Analyze a variety of large data sets to develop and implement alpha signals Requirements * Detail oriented * Strong programming ...

Quanta Search

Data Research Developer

Manhattan, NY · On-site

Optimize data IO and load balancing for distributed, grid computation * Analyze a variety of large data sets to develop and implement alpha signals Requirements * Detail oriented * Strong programming ...

Kontakt.io

Data Scientist Lead

New York, NY · On-site

About Kontakt.io Kontakt.io is building the platform that care operations run on. We reduce waste ... As a Data Science Lead , you will play a pivotal role in designing, developing, and deploying ...

Apollo.io

Staff Data Scientist - Product

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies ... We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our ...

Apollo.io

Senior Data Scientist - Product

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies ... We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our ...

Nika

IO&T Coordinator

San Antonio, TX · On-site

$17.50 - $23.50/hr

Understand what planning data to collect and analyze for incorporation into the Requirement Documents. Responsibilities * The IO&T Coordinator serves as the Defense Health Agency-Facility Enterprise ...

Supplier.io

Chief Sales Officer

In April 2026, Supplier.io acquired TealBook and launched Atlas, our new vendor master data management platform, and the most significant product expansion in our history. Atlas combines Supplier.io ...

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Data Io information

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How much do data io jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for data io in the United States is $31.41, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $40.62 per hour, depending on experience, location, and employer.

What is a Data Io job?

A Data IO (Input/Output) job typically involves managing the flow of data between systems, databases, and storage units. Professionals in this role ensure efficient data transfer, optimize data pipelines, and maintain data integrity. They work with technologies like ETL tools, cloud storage, and APIs to facilitate seamless data movement. Strong programming skills in Python, SQL, or other languages are often required.

What are the typical daily responsibilities of a Data IO Specialist?

A Data IO Specialist is responsible for managing the seamless transfer, validation, and processing of data between systems or databases on a daily basis. Tasks often include designing and maintaining ETL pipelines, monitoring data quality, troubleshooting transfer issues, and collaborating with data engineers, analysts, and business stakeholders to meet project requirements. This role typically involves working within a larger data team and requires clear documentation and communication to ensure data flows support business needs. Daily work may also involve responding to data incidents or implementing improvements to optimize data integration processes.

What is a data.io job?

A data.io job typically involves managing, analyzing, and processing data using tools and programming languages such as SQL, Python, or data management platforms. These roles often require strong analytical skills, attention to data quality, and familiarity with data storage and retrieval systems.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, investment bankers, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. These positions often require advanced skills, extensive experience, and sometimes ownership or leadership of large organizations or practices.

What jobs pay 200,000 a year in the USA?

Data Io is not a recognized job title; however, roles such as senior data scientists, data engineers, and machine learning engineers often have salaries exceeding $200,000 annually, especially with experience, advanced skills, and relevant certifications. These positions typically require expertise in data analysis, programming, and tools like Python, R, or cloud platforms, and may involve leadership responsibilities or specialized knowledge in AI or big data.

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

To thrive as a Data IO (Input/Output) Specialist, you need strong analytical skills, proficiency in data management, and a background in computer science or information technology. Familiarity with data integration tools, scripting languages like Python or SQL, and systems such as ETL platforms or data warehouses is frequently required. Excellent attention to detail, problem-solving abilities, and effective communication are crucial soft skills for this position. These competencies ensure the accurate and efficient transfer, transformation, and management of data across various systems and teams.

What job makes $10,000 a month without a degree?

A Data Io (Data Input Operator) typically does not earn $10,000 a month without specialized skills or experience. High-paying roles that can reach this level often involve sales, real estate, or entrepreneurship, which do not require a degree but rely on skills, networks, and performance. Most jobs with such income levels generally demand significant expertise, certifications, or business acumen rather than formal education alone.
More about Data Io jobs
What cities are hiring for Data Io jobs? Cities with the most Data Io job openings:
What are the most commonly searched types of Data Io jobs? The most popular types of Data Io jobs are:
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Data Io jobs near you
Infographic showing various Data Io job openings in the United States as of June 2026, with employment types broken down into 25% As Needed, and 75% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $65,343 per year, or $31.4 per hour.

Data Research Developer

Quanta Search

Manhattan, NY

Other

Posted 8 days ago

Job description

Our client,a quantitative asset management firm,derives its unique edge in asset management from its blend of high-frequency tradingand science-based investment approaches. They are looking for a data engineer to join theirquantitative development team who will be a close partner to Equities Statistical Arbitrage trading team. This role can be based in New York, NY or Austin, TX. Data drives systematic trading and is critical to all aspects of the firm's business.This is a hands-on position with significant growth potential. The firm is looking for outstanding technical skills, strong attention to detail, and experience with both systems development and data modeling.
Responsibilities
  • Communicate with quantitative researchers and other end-users to understand their requirements and potential future requests
  • Investigate vendor data thoroughly to become a subject matter expert on its characteristics and irregularities
  • Develop ETL processing components using cutting edge technologies, and write robust tests for on-going quality control
  • Support developed transformations and ETL frameworks in production trading as well as backtest research
  • Build flexible data API components in iterations with research peers to ensure their needs are met
  • Optimize data IO and load balancing for distributed, grid computation
  • Analyze a variety of large data sets to develop and implement alpha signals
Requirements
  • Detail oriented
  • Strong programming skills, preference for Python, Java is a plus
  • Experience with the scientific Python stack, Numpy, Scipy, Pandas, Matplotlib
  • Ability to find practical solutions and successfully make trade-offs between long-term goals and short-term deliverables
  • Ability to troubleshoot difficult problems, both numerically and technically
  • Proficient with SQL, experience with Postgres is a plus
  • Experience with Hadoop, Spark, and Docker is a plus
Preferred Education and Experience
  • Computer Science/Math or similar degree
  • 2-5 years of professional experience, ideally exposure to work with complex data sets and all stages of cleaning, preparing data to be used in specific format

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