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Data Compute Jobs in New York (NOW HIRING)

We acquire power, design and build data centers, and operate them - with teams spanning hardware ... The Compute Production Team The Compute Production team builds the data foundations and internal ...

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Compute Deployment Lead

New York, NY · On-site

$166K - $206K/yr

We acquire power, design and build data centers, and operate them - with teams spanning hardware ... Lead compute deployment across sites: the team and process taking GPU nodes from dock to validated ...

Compute Engineering Lead

New York, NY · Hybrid

$225K - $280K/yr

Our users love Hex's feature-rich platform that enables complex data applications, but they need everything to execute faster. You'll lead efforts to evolve our compute architecture while maintaining ...

Compute Engineering Lead

New York, NY · On-site

$225K - $280K/yr

Our users love Hex's feature-rich platform that enables complex data applications, but they need everything to execute faster. You'll lead efforts to evolve our compute architecture while maintaining ...

Join us as a Director, Head of Compute Engineering to play your part in that transformation. It ... Solid understanding of cloud security, data governance, and best practices for deploying and ...

Compute Systems Engineer - VMware & Cisco

Secaucus, NJ · On-site

$52.75 - $66/hr

... data center servers. The role focuses on virtualization, network connectivity, and operational ... Required : • Four or more years of experience supporting data center compute infrastructure. • ...

Compute Deployment Engineer

New York, NY · On-site +1

$164K - $206K/yr

We acquire power, design and build data centers, and operate them - with teams spanning hardware ... Own compute turn-up from facility availability to ready-for-service: the stretch after the network ...

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Data Compute information

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

To thrive as a Data Compute professional, you need strong analytical abilities, expertise in data processing, and a relevant degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop or Spark), programming languages like Python or SQL, and certifications in cloud computing or data analytics are commonly expected. Attention to detail, problem-solving aptitude, and effective communication are crucial soft skills in this position. These skills are vital for ensuring accurate data interpretation, optimizing compute resources, and collaborating efficiently with other teams.

How can I make 2000 a week working from home?

Data Compute roles often involve analyzing large datasets, developing algorithms, or managing cloud-based computing tasks. To earn $2000 weekly, professionals typically need specialized skills, experience, and may work as freelancers or in contract positions, often requiring proficiency in programming, data analysis tools, and remote work setups. Consistent high earnings depend on the complexity of projects and the rate charged per hour or project.

What profession makes $400,000 a year?

In the field of data compute, senior roles such as data engineering managers or principal data scientists can earn $400,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation varies based on industry, location, and company size, often including bonuses and stock options.

What is the highest paying job in data?

In data-related fields, senior roles such as Data Engineering Managers, Data Architects, and Chief Data Officers tend to have the highest salaries, often exceeding six figures annually. These positions typically require extensive experience, advanced technical skills, and knowledge of tools like cloud platforms and data management systems.

What are the typical daily responsibilities of someone in a Data Compute role?

In a Data Compute role, your daily tasks may include designing and monitoring data pipelines, running large-scale data processing jobs, and maintaining the integrity and performance of compute infrastructure. You'll frequently collaborate with data scientists, engineers, and analysts to ensure datasets are accessible and optimized for analysis. Troubleshooting data processing bottlenecks, implementing automation solutions, and optimizing cloud or on-premises resources are also common aspects of the job. This role involves a mix of hands-on technical work and strategic planning to support data-driven decision-making across the organization.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, including those starting at 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many professionals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

What is a Data Compute job?

A Data Compute job involves managing and optimizing computational resources for processing large datasets. Professionals in this role work with cloud platforms, distributed computing frameworks, and high-performance computing (HPC) systems to ensure efficient data processing. They collaborate with data engineers and scientists to enhance performance, scalability, and cost-effectiveness of computational workloads.

What are popular job titles related to Data Compute jobs in New York? For Data Compute jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Compute jobs in New York look for? The top searched job categories for Data Compute jobs in New York are:
What cities in New York are hiring for Data Compute jobs? Cities in New York with the most Data Compute job openings:
Infographic showing various Data Compute job openings in New York as of July 2026, with employment types broken down into 74% Full Time, 18% Part Time, and 8% Contract. Highlights an 100% In-person job distribution.
Market Data Strategist

$120K - $170K/yr

Other

PTO

Posted 5 days ago


Job description

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.

Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. 

Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability, and performance.

At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.

At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.

Responsibilities

As a Market Data Strategist within our Data Strategy group, you will be part of the team that is responsible for identifying, sourcing, and increasing the overall awareness and effectiveness of external datasets used in Tower Research Capital's trading environment. This role will focus on exchange data and core market data, and in it, you will be responsible for licensing, reporting, controls, and account management.

  • Work with global exchanges, index providers, and market data vendors to review and negotiate contracts including commercials and usage rights
  • Monitor the inbound flow of exchange and vendor notifications to assess their impact to Tower and triage accordingly
  • Engage with internal stakeholders including members of Trading and Engineering to define and support new and existing use cases
  • Design and implement robust data strategies and governance policies that align with business objectives, including identifying key market trends, analyzing competitor data, and guiding decision-making
  • Manage exchange usage and reporting, audits, and compliance of market data

Qualifications

  • A detailed knowledge of the language and structure of market data policies with a focus on unit of count and derived data
  • A solid understanding of market data pricing models and metrics with the ability to provide alternative sourcing and contracting options
  • Familiarity with global vendor platforms, products, entitlement systems such as VBD, BPIPE, EMRS, and DACS, and inventory management systems such as FITS and MDM
  • Experience working with and seeing market data audits through from inception to completion
  • A proven self-starter who can work independently and within a team while effectively managing multiple priorities
  • Strong strategic thinker and problem solver with attention to detail
  • Reliable and predictable partner who can be counted on by team members, senior staff, and external counterparties
  • Relevant experience at a top buy-side (hedge fund, prop trading firm) institution

Anticipated New York annual base salary range: $120,000-$170,000, plus eligible for discretionary bonus

Benefits

Tower's headquarters are in the historic Equitable Building, right in the heart of NYC's Financial District and our impact is global, with over a dozen offices around the world. 

At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive - without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.

Our benefits include:

  • Generous paid time off policies
  • Savings plans and other financial wellness tools available in each region
  • Hybrid working opportunities
  • Free breakfast, lunch, and snacks daily 
  • In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) 
  • Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
  • Volunteer opportunities and charitable giving 
  • Social events, happy hours, treats and celebrations throughout the year
  • Workshops and continuous learning opportunities

At Tower, you'll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work - together.

Tower Research Capital is an equal opportunity employer.