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Data Operations Jobs in New York (NOW HIRING)

Barclays

Market Data Operations Manager

New York, NY

$110K - $150K/yr

Step into your pivotal role at Barclays as a Market Data Operations Manager, where you'll help safeguard our organization by overseeing key supplier relationships and ensuring our market data ...

Allocate

Senior Data Operations Analyst

New York, NY · On-site

$95K - $135K/yr

About the Role Allocate is looking to add a Senior Data Operations Analyst to the team in New York! There's a lot for us to build, and we need a sharp, detail-oriented operator who can jump right in ...

Omnicom

Manager, Data Operations

New York, NY · On-site

Data and Analytics Job Subfunction: Data Engineering TA to provide$90,000 - $115,000 Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in ...

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All JobsData Operations JobsData Operations Jobs in New York

Data Operations information

See New York salary details

$56.9K

$140.6K

$218.8K

How much do data operations jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data operations in New York is $140,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $178,900.00 per year, depending on experience, location, and employer.

What is a data operations?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this role often work with data management tools, databases, and automation processes to support data-driven decision-making.

What types of teams and departments does data operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

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

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What are the most commonly searched types of Data Operations jobs in New York? The most popular types of Data Operations jobs in New York are:
What are popular job titles related to Data Operations jobs in New York? For Data Operations jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Operations jobs in New York look for? The top searched job categories for Data Operations jobs in New York are:
What cities in New York are hiring for Data Operations jobs? Cities in New York with the most Data Operations job openings:
Data Operations jobs near you
Infographic showing various Data Operations job openings in New York as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $140,611 per year, or $67.6 per hour.

Data Operations Engineer (USA)

Trexquant Investment

Stamford, CT • On-site

$74K - $100K/yr

Full-time

Medical, Dental, Vision

Re-posted 27 days ago

Job description

Trexquant is a growing systematic fund manager with a core team of highly accomplished technologists. We are currently seeking an enthusiastic and skilled Data Operations Engineer with a strong operational focus to join our team. As a Data Operations Engineer, you will play a crucial role in monitoring and optimizing our trading processes, enhancing our development and deployment processes, and contributing to the overall efficiency and success of our operations. If you are passionate about optimizing operational workflows, ensuring system reliability, and driving continuous improvement, we encourage you to apply.

Responsibilities:
(1) Operational Monitoring and Troubleshooting:

  • Collaborate with teams to establish robust monitoring and alerting systems that provide real-time insights into the trading process status.
  • Take a proactive approach to monitoring, promptly identifying and resolving operational issues to minimize downtime and disruptions.


(2) Continuous Integration and Deployment:

  • Develop, enhance, and maintain pipelines dedicated to facilitating data/alpha/strategy generation, testing, and deployment procedures.
  • Foster close collaboration with research teams to ensure the smooth deployment of scripts, promoting seamless integration of research findings into practical applications.


(3) Quality Control and Assurance:

  • Establish and sustain quality control measures to ensure the consistency and robustness of scripts and applications.
  • Conduct regular inspections and audits of production lines to identify and rectify any quality-related issues promptly.


(4) Continuous Improvement Initiatives:

  • Identify opportunities for continuous improvement within the production process, driven by data analysis and performance metrics.
  • Lead or contribute to cross-functional improvement projects aimed at enhancing production efficiency and increasing overall output.


(5) Documentation and Reporting:

  • Maintain accurate records of production processes, performance metrics, and quality control data.
  • Generate regular reports and provide insights to management on production performance, trends, and improvement initiatives.

Requirements

  • Strong working knowledge of Python and Linux is a must.
  • Experience working with SQL is an advantage.
  • Prior development experience in fault-tolerant distributed or data intensive applications is a plus.
  • Process-driven with strong attention to detail.
  • Ability and willingness to adapt to new challenges in a dynamic environment with shifting priorities.
  • Background in Computer Science, Engineering or a related field.

Benefits

  • Competitive salary plus bonus based on individual and company performance.
  • Collaborative, casual, and friendly work environment.
  • PPO Health, dental and vision insurance premiums fully covered for you and your. dependents.
  • Pre-tax commuter benefits.
  • Weekly company meals.

Trexquant is an Equal Opportunity Employer