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Data Compute Jobs in Massachusetts (NOW HIRING)

Director, Compute Platform

Boston, MA · On-site

$274K/yr

End-to-end compute architecture spanning cloud ML training, simulation clusters, data pipelines, and edge/onboard systems. * Infrastructure that supports large-scale distributed training, high ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Compute Engines: Deep knowledge of clustered compute engines, workflow orchestration tools, system ... Experience optimizing data ecosystems for production analytics, including specialized pipeline ...

Data Platform Engineer

Boston, MA

$124K - $149K/yr

TEAM OVERVIEW The ADAPT (AI, Data, and Platform Technologies) Engineering team is integral to KKR ... Define and implement the platform's compute architecture across stateful, stateless, and ...

Data Platform Engineer

Boston, MA · On-site

$124K - $149K/yr

TEAM OVERVIEW The ADAPT (AI, Data, and Platform Technologies) Engineering team is integral to KKR ... Define and implement the platform's compute architecture across stateful, stateless, and ...

Data Platform Engineer

Boston, MA · On-site

$124K - $149K/yr

... compute architecture across stateful, stateless, and distributed processing layers, balancing ... time ingestion, data movement, and system integration, ensuring low-latency, reliable, and ...

Sr Databricks Data Engineer

Boston, MA · On-site

$124K - $149K/yr

... compute platforms Experience with data warehousing, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality ...

Vice President, Engineering

Cambridge, MA · On-site

$196K - $253K/yr

Technical expertise across lab automation, controls/SCADA, and science instrumentation, including integration and co-development of robotics and software/data/compute platforms * Strong people and ...

Vice President, Engineering

Cambridge, MA

$196K - $253K/yr

Technical expertise across lab automation, controls/SCADA, and science instrumentation, including integration and co-development of robotics and software/data/compute platforms * Strong people and ...

Data Engineer

North Reading, MA · On-site

$117K - $140K/yr

... compute costs. • Implement validation checks, schema contracts, and anomaly detection to guarantee the accuracy of data reaching our gold tier. • Lead the PII field inventory and column-level ...

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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 job categories do people searching Data Compute jobs in Massachusetts look for? The top searched job categories for Data Compute jobs in Massachusetts are:
What cities in Massachusetts are hiring for Data Compute jobs? Cities in Massachusetts with the most Data Compute job openings:
Infographic showing various Data Compute job openings in Massachusetts as of July 2026, with employment types broken down into 72% Full Time, 19% Part Time, and 9% Contract. Highlights an 100% In-person job distribution.
Director, Compute Platform

Director, Compute Platform

Merlin Labs

Boston, MA • On-site

$274K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 19 days ago


Job description

About Merlin:
Merlin is a venture backed aerospace startup building a non-human pilot to enable both reduced crew and uncrewed flight. Backed by some of the world's leading investors, Merlin is scaling alongside our customers to begin leveraging autonomy today to solve some of aviation's biggest challenges.

About You:
You are a senior platform leader who understands that autonomous flight demands uncompromising reliability, real-time performance, and scalable infrastructure.
 
You have built and owned compute platforms that power complex, mission-critical systems - spanning cloud ML training, high-fidelity simulation, and edge or embedded environments. You think holistically about architecture, balancing determinism, latency, scalability, safety, and cost.
 
You are not looking to maintain infrastructure - you want to define it. You operate as a technical authority, partnering closely with autonomy, perception, controls, and flight software leaders to ensure the compute foundation enables rapid development and safe, scalable deployment.
 
You thrive in environments where the platform you design directly impacts real-world performance. You are comfortable setting long-term technical direction while remaining hands-on in the most complex systems challenges.
 
Responsibilities:
  • End-to-end compute architecture spanning cloud ML training, simulation clusters, data pipelines, and edge/onboard systems.
  • Infrastructure that supports large-scale distributed training, high-fidelity simulation (SIL/HIL), and autonomy validation workflows.
  • GPU/accelerator orchestration, workload scheduling, and performance optimization for compute-intensive autonomy systems.
  • Design decisions that balance determinism, latency, safety, scalability, and cost.
  • Platform reliability standards for systems that ultimately support flight-critical software.
  • Long-term roadmap for scaling compute infrastructure as fleet size, simulation fidelity, and ML workloads grow.
  • Technical mentorship and bar-raising across platform and infrastructure engineering.
Qualifications:
  • 10+ years of experience building large-scale distributed or high-performance compute systems.
  • Proven ownership of production infrastructure supporting autonomous systems, robotics, aerospace, or ML-heavy platforms.
  • Deep expertise in distributed systems design, networking, and systems performance optimization.
  • Experience architecting infrastructure for GPU-based training, simulation, or real-time compute workloads.
  • Strong programming background in C++, Go, or Python, with comfort operating close to systems layers.
  • Experience bridging cloud infrastructure and edge/embedded compute environments.
  • Track record of leading complex cross-functional technical initiatives.
  • Ability to operate with autonomy in a fast-scaling, high-ambiguity startup environment.
Nice to Haves:
  • Experience working in Aviation or another safety critical, regulated industry. 
This position is based on-site at Merlin HQ in Boston, MA.

Once you're here, you'll enjoy a variety of on-site perks designed to make your workday enjoyable and convenient. These include catered lunches featuring a rotating menu of delicious options, an assortment of snacks to keep you fueled throughout the day, and a selection of beverages, including coffee, tea, and other drinks, to keep you refreshed.

Our goal is to create an environment where you can thrive both professionally and personally

Merlin Labs offers an innovative, entrepreneurial, and team-focused startup environment. We also offer a top-notch benefits package (health, dental, life, unlimited vacation, and 401k with match) and work/life integration. Being part of the Merlin team allows you to become part of a small team that supports professional development while working together to achieve our mission.

Merlin Labs is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, genetic information, sex (including pregnancy), gender, gender identity and expression, sexual orientation, age, marital status, military service or obligation or disability status, or any other characteristic protected by law. All job offers are contingent upon the candidate passing background and reference checks.

At this time, we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. 

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to: [email protected]

Merlin Labs does not accept unsolicited resumes from any source other than directly from candidates.
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