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Data Compute Jobs in Worcester, MA (NOW HIRING)

Navtech, Inc.

Cloud Data Engineer

Woonsocket, RI · On-site +1

$53.50 - $71.50/hr

Cloud Data Engineer Work Location: Remote Duration: 12+ Months of Contract * Total IT exp of 5-12 ... Experience hosting an application on Cloud using Compute Engine, App Engine, Cloud SQL, Kubernetes ...

Lawn Solutions Inc.

Be Seen First

Quickbooks Bookkeeper

Ayer, MA · On-site

$25 - $35/hr

Obtain primary financial data for accounting records * Compute and record numerical data * Check the accuracy of business transactions * Perform data entry and administrative duties Qualifications:

Nvidia

Senior HPC and LSF Operations Engineer

Westford, MA · Hybrid

$108K - $148K/yr

... compute-intensive workloads * Analyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive measurable improvements in utilization, throughput, and turnaround time

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All JobsData Compute JobsData Compute Jobs in Worcester, MA

Data Compute information

See Worcester, MA salary details

$44.4K

$129.4K

$177.1K

How much do data compute jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data compute in Worcester, MA is $129,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $137,200.00 per year, depending on experience, location, and employer.

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 Worcester, MA? For Data Compute jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Data Compute jobs in Worcester, MA look for? The top searched job categories for Data Compute jobs in Worcester, MA are:
Data Compute jobs near you

Urgent Requirement - Data Analyst-Data Integration Lead-Smithfield RI-Full-time

Ekcel Technologies Inc

Smithfield, RI • On-site

Full-time

Posted 24 days ago

Job description

Having 6 -9 years of experience in design, develop, and maintain Snowflake Data Warehouse solutions for large-scale data processing.

Proficiency in developing ETL/ELT  processeing tools using Informatica, Python  along with AWS services like Glue,Lambda

Strong database design, relational and dimensional modeling, and SQL skills

Model complex business requirements into efficient SQL queries and stored procedures to support reporting needs.

Collaborate with cross-functional teams to design scalable architectures for data workloads on Snowflake platform.

Ensure high availability, performance, security, and compliance of the entire system.

Strong expertise in writing complex SQL queries including joins, aggregations, window functions etc.

Experience with data modeling techniques to create efficient star schemas or other types of databases designs.

In-depth knowledge and Proven practical experience in migrating data  from on-prem to cloud  using Snowflake,Python & AWS services

In depth understanding of Snowflake Architecture including Snow SQL, Performance tuning, Compute and Storage